Download JNTU Kakinada (Jawaharlal Nehru Technological University, Kakinada) B-Tech 1-1 Sem, 1-2 Sem, 2-1 Sem, 2-2 Sem, 3-1 Sem, 3-2 Sem, 4-1 And 4-2 Sem CSE Course Structure And Detailed Syllabus R13
ACADEMIC REGULATIONS
COURSE STRUCTURE
AND
DETAILED SYLLABUS
COMPUTER SCIENCE AND ENGINEERING
For
COMPUTER SCIENCE AND ENGINEERING FOUR DEGREE COURSE
(Applicable for batches admitted from 2013-2014)
JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY: KAKINADA
KAKINADA - 533 003, Andhra Pradesh, India
COURSE STRUCTURE
I Year ? I SEMESTER
S. No.
Subject
T
P
Credits
1
English ? I
3+1
--
3
2
Mathematics - I
3+1
--
3
3
Engineering Chemistry
3+1
--
3
4
Engineering Mechanics
3+1
--
3
5
Computer Programming
3+1
--
3
6
Environmental Studies
3+1
--
3
7
Engineering Chemistry Laboratory
--
3
2
8
English - Communication Skills Lab - I
--
3
2
9
C Programming Lab
--
3
2
Total Credits
24
I Year ? II SEMESTER
S. No.
Subject
T
P
Credits
1
English ? II
3+1
--
3
2
Mathematics ? II (Mathematical Methods)
3+1
--
3
3
Mathematics ? III
3+1
--
3
4
Engineering Physics
3+1
--
3
5
Professional Ethics and Human Values
3+1
--
3
6
Engineering Drawing
3+1
--
3
7
English - Communication Skills Lab - II
--
3
2
8
Engineering Physics Lab
--
3
2
9
Engineering Physics ? Virtual Labs - Assignments
--
2
--
10
Engg.Workshop & IT Workshop
--
3
2
Total Credits
24
II Year ? I SEMESTER
S. No.
Subject
T
P
Credits
1
Managerial Economics and Financial Analysis
4
--
3
2
Object Oriented Programming through C++
4
--
3
3
Mathematical Foundations of Computer Science
4
--
3
4
Digital Logic Design
4
--
3
5
Data Structures
4
--
3
6
Object Oriented Programming Lab
--
3
2
7
Data Structures Lab
--
3
2
8
Digital Logic Design Lab
--
3
2
9
Seminar
--
--
1
Total Credits
22
II Year ? II SEMESTER
S. No.
Subject
T
P
Credits
1
Probability and statistics
4
--
3
2
Java Programming
4
--
3
3
Advanced Data Structures
4
--
3
4
Computer Organization
4
--
3
5
Formal Languages and Automata Theory
4
--
3
6
Advanced Data Structures Lab
--
3
2
7
Java Programming Lab
--
3
2
8
Free Open Source Software(FOSS) Lab
--
3
2
Total Credits
21
III Year ? I SEMESTER
S. No.
Subject
T
P
Credits
1
Compiler Design
4
-
3
2
Data Communication
4
-
3
3
Principles of Programming Languages
4
-
3
4
Database Management Systems
4
-
3
5
Operating Systems
4
-
3
6
Compiler Design Lab
-
3
2
7
Operating System & Linux Programming Lab
-
3
2
8
Database Management Systems Lab
3
2
9
Seminar
--
--
1
Total Credits
22
III Year ? II SEMESTER
S. No.
Subject
T
P
Credits
1
Computer Networks
4
-
3
2
Data Ware housing and Mining
4
-
3
3
Design and Analysis of Algorithms
4
-
3
4
Software Engineering
4
-
3
5
Web Technologies
4
-
3
6
Computer Networks Lab
-
3
2
7
Software Engineering Lab
-
3
2
8
Web Technologies Lab
-
3
2
9
IPR and Patents
3
--
2
Total Credits
23
IV Year ? I SEMESTER
S. No.
Subject
T
P
Credits
1
Cryptography and Network Security
4
-
3
2
UML & Design Patterns
4
-
3
3
Mobile Computing
4
-
3
4
Elective ?I
4
-
3
5
Elective ? II
4
-
3
6
UML & Design Patterns Lab
-
3
2
7
Mobile Application Development Lab
-
3
2
8
Software Testing Lab
-
3
2
9
Hadoop & BigData Lab
-
3
2
Total Credits
23
IV Year ? II SEMESTER
S. No.
Subject
T
P
Credits
1
Elective ? III
4
-
3
2
Elective ? IV
4
-
3
3
Distributed Systems
4
-
3
4
Management Science
4
-
3
5
Project
-
-
9
Total Credits
21
Elective ? I:
i) Software Testing Methodologies
ii) Simulation Modeling
iii) Information Retrieval Systems
iv) Artificial Intelligence
v) Multimedia Computing
vi) High Performance Computing
Elective ? II:
i. Digital Forensics
ii. Hadoop and Big Data
iii. Software Project Management
iv. Machine Learning
v. Advanced Databases
Elective ? III:
i) Human Computer Interaction
ii) Advanced Operating Systems
iii) Mobile Adhoc & Sensor Networks
iv) Pattern Recognition
v) Digital Image Processing
vi) Micro processers and Multi Core Systems
Elective-IV:
i) Embedded and Real Time Systems
ii) Neural Networks & Soft Computing
iii) Social Networks and the Semantic Web
iv)Cloud Computing
SYLLABUS
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I Year ? I SEMESTER
3+1
0
3
ENGLISH ?I
(Common to All Branches)
DETAILED TEXT-I English Essentials: Recommended Topics:
1. IN LONDON: M.K.GANDHI
OBJECTIVE: To apprise the learner how Gandhi spent a period of three years in London as a student.
OUTCOME: The learner will understand how Gandhi grew in introspection and maturity.
2. THE KNOWLEDGE SOCIETY- APJ KALAM
OBJECTIVE: To make the learners rediscover India as a land of Knowledge.
OUTCOME: The learners will achieve a higher quality of life, strength and sovereignty of a developed
nation.
3. THE SCIENTIFIC POINT OF VIEW- J.B.S. HALDANE
OBJECTIVE: This essay discusses how scientific point of view seeks to arrive at the truth without
being biased by emotion.
OUTCOME: This develops in the student the scientific attitude to solve many problems which we find
difficult to tackle.
4. PRINCIPLES OF GOOD WRITING:
OBJECTIVE: To inform the learners how to write clearly and logically.
OUTCOME: The learner will be able to think clearly and logically and write clearly and logically.
5. MAN'S PERIL
OBJECTIVE: To inform the learner that all men are in peril.
OUTCOME: The learner will understand that all men can come together and avert the peril.
6. THE DYING SUN--SIR JAMES JEANS
OBJECTIVE: This excerpt from the book "The Mysterious Universe" presents the mysterious nature of
the Universe and the stars which present numerous problems to the scientific mind. Sir James Jeans uses
a poetic approach to discuss the scientific phenomena.
OUTCOME: This provides the students to think about the scientific phenomena from a different angle
and also exposes the readers to poetic expressions.
7. LUCK--MARK TWAIN
OBJECTIVE: This is a short story about a man's public image and his true nature. The theme of the
story is that luck can be a factor of life, so that even if one is incompetent but lucky, one can still
succeed.
OUTCOME: The story is humourous in that it contains a lot of irony. Thus this develops in the learner
understand humourous texts and use of words for irony.
Text Book: `English Essentials' by Ravindra Publications
NON-DETAILED TEXT:
(From Modern Trailblazers of Orient Blackswan)
(Common single Text book for two semesters)
(Semester I (1 to 4 lessons)/ Semester II (5 to 8 lessons)
1. G.D.Naidu
OBJECTIVE: To inspire the learners by G.D.Naidu's example of inventions and contributions.
OUTCOME: The learner will be in a position to emulate G.D.Naidu and take to practical applications.
2. G.R.Gopinath
OBJECTIVE: To inspire the learners by his example of inventions.
OUTCOME: Like G.R.Gopinath, the learners will be able to achieve much at a low cost and help the
common man.
3. Sudhamurthy
OBJECTIVE: To inspire the learners by the unique interests and contributions of Sudha Murthy.
OUTCOME: The learner will take interest in multiple fields of knowledge and make life worthwhile
through social service.
4. Vijay Bhatkar
OBJECTIVE: To inspire the learner by his work and studies in different fields of engineering and
science.
OUTCOME: The learner will emulate him and produce memorable things.
Text Book: `Trail Blazers' by Orient Black Swan Pvt. Ltd. Publishers
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I Year ? I SEMESTER
3+1
0
3
MATHEMATICS ? I (DIFFERENTIAL EQUATIONS)
(Common to All Branches)
UNIT I: Differential equations of first order and first degree:
Linear-Bernoulli-Exact-Reducible to exact.
Applications: Newton's Law of cooling-Law of natural growth and decay-orthogonal trajectories.
Subject Category
ABET Learning Objectives a d e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT II: Linear differential equations of higher order:
Non-homogeneous equations of higher order with constant coefficients with RHS term of the type e ax , Sin
ax, cos ax, polynomials in x, e ax V(x), xV(x).
Applications: LCR circuit, Simple Harmonic motion
Subject Category
ABET Learning Objectives a d e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT III Laplace transforms:
Laplace transforms of standard functions-ShiftingTheorems, Transforms of derivatives and integrals ? Unit
step function ?Dirac's delta function- Inverse Laplace transforms? Convolution theorem (with out proof).
Application: Solutions of ordinary differential equations using Laplace transforms.
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT IV Partial differentiation:
Introduction- Total derivative-Chain rule-Generalized Mean Value theorem for single variable (without
proof)-Taylors and Mc Laurent's series for two variables? Functional dependence- Jacobian.
Applications: Maxima and Minima of functions of two variables with constraints and without constraints.
Subject Category
ABET Learning Objectives a c e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT V First order Partial differential equations:
Formation of partial differential equations by elimination of arbitrary constants and arbitrary functions ?
solutions of first order linear (Lagrange) equation and nonlinear (standard type) equations
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT VI Higher order Partial differential equations:
Solutions of Linear Partial differential equations with constant coefficients- Method of separation of
Variables
Applications: One- dimensional Wave, Heat equations - two-dimensional Laplace Equation.
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation B E
Books:
1. B.S.GREWAL, Higher Engineering Mathematics, 42nd Edition, Khanna Publishers
2. ERWIN KREYSZIG, Advanced Engineering Mathematics, 9th Edition, Wiley-India
3. GREENBERG, Advanced Engineering Mathematics, 2nd edition, Pearson edn
4. DEAN G. DUFFY, Advanced engineering mathematics with MATLAB, CRC Press
5. PETER O'NEIL, advanced Engineering Mathematics, Cengage Learning.
Subject
ABET Learning
ABET Internal
JNTUK External
Remarks
Category
Objectives
Assessments
Evaluation
a) Apply knowledge of math,
science, & engineering
b) Design & conduct experiments,
analyze & interpret data
c) Design a system/process to meet
A. Questions should have:
desired needs within economic,
B. Definitions, Principle of
1. Objective tests
social, political, ethical,
operation or philosophy
2. Essay questions tests
health/safety, manufacturability,
of concept.
3. Peer tutoring based
& sustainability constraints
C. Mathematical
4. Simulation based
Theory
d) Function on multidisciplinary
treatment, derivations,
5. Design oriented
Design
teams
analysis, synthesis,
6. Problem based
Analysis
e) Identify, formulate, & solve
numerical problems
7. Experiential (project
Algorithms
engineering problems
with inference.
based) based
Drawing
f) Understand professional &
D. Design oriented
8. Lab work or field work
Others
ethical responsibilities
problems
based
g) Communicate effectively
E. Trouble shooting type
9. Presentation based
h) Understand impact of
of questions
10. Case Studies based
engineering solutions in global,
F. Applications related
11. Role-play based
economic, environmental, &
questions
12. Portfolio based
societal context
G. Brain storming
i) Recognize need for & be able to
questions
engage in lifelong learning
j) Know contemporary issues
k) Use techniques, skills, modern
tools for engineering practices
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I Year ? I SEMESTER
3+1
0
3
ENGINEERING CHEMISTRY
UNIT-I: WATER TECHNOLOGY
Hard Water ? Estimation of hardness by EDTA method ? Potable water- Sterilization and Disinfection ?
Boiler feed water ? Boiler troubles ? Priming and foaming , scale formation, corrosion, caustic
embrittlement, turbine deposits ? Softening of water ? Lime soda, Zeolite processes ? Reverse osmosis ?
Electro Dialysis, Ion exchange process
Objectives : For prospective engineers knowledge about water used in industries (boilers etc.) and for
drinking purposes is useful; hence chemistry of hard water, boiler troubles and modern methods of softening
hard water is introduced.
UNIT-II : ELECTROCHEMISTRY
Concept of Ionic conductance ? Ionic Mobilities ? Applications of Kohlrausch law ? Conductometric
titrations ? Galvanic cells ? Electrode potentials ? Nernst equation ? Electrochemical series ? Potentiometric
titrations ? Concentration cells ? Ion selective electrode ?Glass electrodes ? Fluoride electrode; Batteries
and Fuel cells
Objectives : Knowledge of galvanic cells, electrode potentials, concentration cells is necessary for engineers
to understand corrosion problem and its control ; also this knowledge helps in understanding modern bio-
sensors, fuel cells and improve them.
UNIT-III : CORROSION
Causes and effects of corrosion ? theories of corrosion (dry, chemical and electrochemical corrosion) ?
Factors affecting corrosion ? Corrosion control methods ? Cathodic protection ?Sacrificial Anodic,
Impressed current methods ? Surface coatings ? Methods of application on metals (Hot dipping,
Galvanizing, tinning , Cladding, Electroplating, Electroless plating) ? Organic surface coatings ? Paints ?
Their constituents and their functions.
Objectives : the problems associated with corrosion are well known and the engineers must be aware of
these problems and also how to counter them
UNIT-IV : HIGH POLYMERS
Types of Polymerization ? Stereo regular Polymers ? Physical and Mechanical properties of polymers ?
Plastics ? Thermoplastics and thermo setting plastics ? Compounding and Fabrication of plastics ?
Preparation and properties of Polyethylene, PVC and Bakelite ? Elastomers ? Rubber and Vulcanization ?
Synthetic rubbers ? Styrene butadiene rubber ? Thiokol ? applications.
Objectives : Plastics are materials used very widely as engineering materials. An understanding of
properties particularly physical and mechanical properties of polymers / plastics / elastomers helps in
selecting suitable materials for different purposes.
UNIT-V : FUELS
Coal ? Proximate and ultimate analysis ? Numerical problems based on analysis ? Calorific vaule ? HCV
and LCV ? Problems based on calorific values; petroleum ? Refining ? Cracking ? Petrol ? Diesel knocking;
Gaseous fuels ? Natural gas ? LPG, CNG ? Combustion ? Problems on air requirements.
Objectives : A board understanding of the more important fuels employed on a large scale is necessary for
all engineer to understand energy ? related problems and solve them.
UNIT-VI : CHEMISTRY OF ADVANCED MATERIALS
Nanometerials (Preparation of carbon nanotubes and fullerenes ? Properties of nanomaterials ? Engineering
applications) ? Liquid crystals (Types ? Application in LCD and Engineering Applications) ? Fiber
reinforced plastics ? Biodegradable polymers ? Conducting polymers ? Solar cells (Solar heaters ? Photo
voltaic cells ? Solar reflectors ? Green house concepts ? Green chemistry (Methods for green synthesis and
Applications) ? Cement ? Hardening and setting ? Deterioration of cement concrete
Objectives : With the knowledge available now, future engineers should know at least some of the
advanced materials that are becoming available. Hence some of them are introduced here.
TEXT BOOKSS
1. Jain and Jain (Latest Edition), Engineering Chemistry, Dhanpat Rai Publishing company Ltd,
2. N.Y.S.Murthy, V.Anuradha, KRamaRao "A Text Book of Engineering Chemistry", Maruthi
Publications
3. C.Parameswara Murthy, C.V.Agarwal, Adhra Naidu (2006) Text Book of Engineering Chemistry,
B.S.Publications
4. B.Sivasankar (2010), Engineering Chemistry, McGraw-Hill companies.
5. Ch.Venkata Ramana Reddy and Ramadevi (2013) , Engineering Chemistry, Cengage Learning
REFERENCES
1. S.S. Dara (2013) Text Book of Engineering Chemistry, S.Chand Technical Series
2. K.Sesha Maheswaramma and Mridula Chugh (2013), Engineering Chemistry, Pearson Publications.
3. R.Gopalan, D.Venkatappayya, Sulochana Nagarajan (2011), Text Book of Engineering Chemistry,
Vikas Publications.
4. B.Viswanathan and M.Aulice Scibioh (2009), Fuel Cells, Principals and applications, University Press.
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I Year ? I SEMESTER
3+1
0
3
ENGINEERING MECHANICS
Objectives: The students completing this course are expected to understand the concepts of forces and its
resolution in different planes ,resultant of force system, Forces acting on a body, their free body diagrams
using graphical methods. They are required to understand the concepts of centre of gravity and moments of
inertia and their application, Analysis of frames and trusses, different types of motion, friction and
application of work - energy method.
UNIT ? I
Objectives: The students are to be exposed to the concepts of force and friction , direction and its
application.
Introduction to Engg. Mechanics ? Basic Concepts.
Systems of Forces : Coplanar Concurrent Forces ? Components in Space ? Resultant ? Moment of Force
and its Application ? Couples and Resultant of Force Systems. Introduction , limiting friction and impending
motion, coulomb's laws of dry friction , coefficient of friction, cone of friction
UNIT II
Objectives: The students are to be exposed to application of free body diagrams. Solution to problems
using graphical methods and law of triangle of forces.
Equilibrium of Systems of Forces : Free Body Diagrams, Equations of Equilibrium of Coplanar Systems,
Spatial Systems for concurrent forces. Lamis Theorm, Graphical method for the equilibrium of coplanar
forces, Converse of the law of Triangle of forces, converse of the law of polygon of forces condition of
equilibrium.
UNIT ? III
Objectives : The students are to be exposed to concepts of centre of gravity.
Centroid : Centroids of simple figures (from basic principles ) ? Centroids of Composite Figures
Centre of Gravity : Centre of gravity of simple body (from basis principles), centre of gravity of composite
bodies, pappus theorem.
UNIT IV
Objective: The students are to be exposed to concepts of moment of inertia and polar moment of
inertia including transfer methods and their applications.
Area moments of Inertia : Definition ? Polar Moment of Inertia, Transfer Theorem, Moments of Inertia of
Composite Figures, Products of Inertia, Transfer Formula for Product of Inertia. Mass Moment of Inertia :
Moment of Inertia of Masses, Transfer Formula for Mass Moments of Inertia, mass moment of inertia of
composite bodies.
UNIT ? V
Objectives : The students are to be exposed to motion in straight line and in curvilinear paths, its
velocity and acceleration computation and methods of representing plane motion.
Kinematics : Rectilinear and Curvelinear motions ? Velocity and Acceleration ? Motion of Rigid Body ?
Types and their Analysis in Planar Motion. Kinetics : Analysis as a Particle and Analysis as a Rigid Body in
Translation ? Central Force Motion ? Equations of Plane Motion ? Fixed Axis Rotation ? Rolling Bodies.
...
UNIT ? VI
Objectives: The students are to be exposed to concepts of work, energy and particle motion
Work ? Energy Method : Equations for Translation, Work-Energy Applications to Particle Motion,
Connected System-Fixed Axis Rotation and Plane Motion. Impulse momentum method.
TEXT BOOKS:
1. Engg. Mechanics - S.Timoshenko & D.H.Young., 4th Edn - , Mc Graw Hill publications.
2. Engineering Mechanics: Statics and Dynamics 3rd edition, Andrew Pytel and Jaan Kiusalaas; Cengage
Learning publishers.
REFERENCES:
1. Engineering Mechanics statics and dynamics ? R.C.Hibbeler, 11th Edn ? Pearson Publ.
2. Engineering Mechanics , statics ? J.L.Meriam, 6th Edn ? Wiley India Pvt Ltd.
3. Engineering Mechanics , dynamics ? J.L.Meriam, 6th Edn ? Wiley India Pvt Ltd.
4. Engineering Mechanics , statics and dynamics ? I.H.Shames, ? Pearson Publ.
5. Mechanics For Engineers , statics - F.P.Beer & E.R.Johnston ? 5th Edn Mc Graw Hill Publ.
6. Mechanics For Engineers, dynamics - F.P.Beer & E.R.Johnston ? 5th Edn Mc Graw Hill Publ.
7. Theory & Problems of engineering mechanics, statics & dynamics ? E.W.Nelson, C.L.Best & W.G.
McLean, 5th Edn ? Schaum's outline series - Mc Graw Hill Publ.
8. Engineering Mechanics , Fedinand . L. Singer , Harper ? Collins.
9. Engineering Mechanics statics and dynamics , A Nelson, Mc Graw Hill publications
10. Engineering Mechanics, Tayal. Umesh Publ.
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I Year ? I SEMESTER
3+1
0
3
COMPUTER PROGRAMMING
Objectives: Formulating algorithmic solutions to problems and implementing algorithms in C
UNIT I:
Unit objective: Notion of Operation of a CPU, Notion of an algorithm and computational procedure,
editing and executing programs in Linux
Introduction: Computer systems, Hardware and Software Concepts,
Problem Solving: Algorithm / Pseudo code, flowchart, program development steps, computer languages:
machine, symbolic and highlevel languages, Creating and Running Programs: Writing, Editing(vi/emacs
editor), Compiling( gcc), Linking and Executing in under Linux.
BASICS OF C: Structure of a C program, identifiers, basic data types and sizes. Constants, Variables,
Arthmetic , relational and logical operators, increment and decrement operators, conditional operator,
assignment operator, expressions, type conversions, Conditional Expressions, precedence and order of
evaluation, Sample Programs.
UNIT II:
Unit objective: understanding branching, iteration and data representation using arrays
SELECTION ? MAKING DECISION: TWO WAY SELECTION: if-else, null else, nested if, examples, Multi-
way selection: switch, else-if, examples.
ITERATIVE: loops- while, do-while and for statements , break, continue, initialization and updating, event
and counter controlled loops, Looping applications: Summation, powers, smallest and largest.
ARRAYS: Arrays- concepts, declaration, definition, accessing elements, storing elements, Strings and
String Manipulations, 1-D arrays, 2-D arrays and character arrays, string manipulations, Multidimensional
arrays, array applications: Matrix operations, checking the symmetricity of a Matrix.
STRINGS: concepts, c strings.
UNIT III:
Objective: Modular programming and recursive solution formulation
FUNCTIONS- MODULAR PROGRAMMING: functions, basics, parameter passing, storage classes
extern, auto, register, static, scope rules, block structure, user defined functions, standard library functions,
recursive functions, Recursive solutions for fibonacci series, towers of Hanoi, header files, C Preprocessor,
example c programs, Passing 1-D arrays, 2-D arrays to functions.
UNIT IV:
Objective: Understanding pointers and dynamic memory allocation
POINTERS: pointers- concepts, initialization of pointer variables, pointers and function arguments, passing
by address- dangling memory, address arithmetic, character pointers and functions, pointers to pointers,
pointers and multi-dimensional arrays, dynamic memory management functions, command line arguments
UNIT V:
Objective: Understanding miscellaneous aspects of C
ENUMERATED, STRUCTURE AND UNION TYPES: Derived types- structures- declaration, definition
and initialization of structures, accessing structures, nested structures, arrays of structures, structures and
functions, pointers to structures, self referential structures, unions, typedef, bit-fields, program applications
BIT-WISE OPERATORS: logical, shift, rotation, masks.
UNIT VI:
Objective: Comprehension of file operations
FILE HANDLING: Input and output- concept of a file, text files and binary files, Formatted I/O, File I/O
operations, example programs
Text Books:
1. Problem Solving and Program Design in C, Hanly, Koffman, 7th ed, PERSON
2. Programming in C, Second Edition Pradip Dey and Manas Ghosh, OXFORD Higher Education
3. Programming in C, A practical approach Ajay Mittal PEARSON
4. The C programming Language by Dennis Richie and Brian Kernighan
5. Programming in C, B. L. Juneja, Anith Seth, Cengage Learning.
Reference Books and web links:
1. C Programming, A Problem Solving Approach, Forouzan, Gilberg, Prasad, CENGAGE
2. Programming with C, Bichkar, Universities Press
3. Programming in C, Reema Thareja, OXFORD
4. C by Example, Noel Kalicharan, Cambridge
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I Year ? I SEMESTER
3+1
0
3
ENVIRONMENTAL STUDIES
Course Learning Objectives:
The objectives of the course is to impart
1. Overall understanding of the natural resources
2. Basic understanding of the ecosystem and its diversity
3. Acquaintance on various environmental challenges induced due to unplanned anthropogenic activities
4. An understanding of the environmental impact of developmental activities
5. Awareness on the social issues, environmental legislation and global treaties
Course Outcomes:
The student should have knowledge on
1. The natural resources and their importance for the sustenance of the life and recognise the need to
conserve the natural resources
2. The concepts of the ecosystem and its function in the environment. The need for protecting the producers
and consumers in various ecosystems and their role in the food web
3. The biodiversity of India and the threats to biodiversity, and conservation practices to protect the
biodiversity
4. Various attributes of the pollution and their impacts and measures to reduce or control the pollution along
with waste management practices
5. Social issues both rural and urban environment and the possible means to combat the challenges
6. The environmental legislations of India and the first global initiatives towards sustainable development.
7. About environmental assessment and the stages involved in EIA and the environmental audit
Syllabus:
UNIT - I
Multidisciplinary nature of Environmental Studies: Definition, Scope and Importance ?Sustainability:
Stockholm and Rio Summit?Global Environmental Challenges: Global warming and climate change, acid
rains, ozone layer depletion, population growth and explosion, effects. Role of information Technology in
Environment and human health.
Ecosystems: Concept of an ecosystem. - Structure and function of an ecosystem. - Producers, consumers
and decomposers. - Energy flow in the ecosystem - Ecological succession. - Food chains, food webs and
ecological pyramids. - Introduction, types, characteristic features, structure and function of Forest
ecosystem, Grassland ecosystem, Desert ecosystem, Aquatic ecosystems.
UNIT - II
Natural Resources: Natural resources and associated problems
Forest resources ? Use and over ? exploitation, deforestation ? Timber extraction ? Mining, dams and other
effects on forest and tribal people
Water resources ? Use and over utilization of surface and ground water ? Floods, drought, conflicts over
water, dams ? benefits and problems
Mineral resources: Use and exploitation, environmental effects of extracting and using mineral resources
Food resources: World food problems, changes caused by non-agriculture activities-effects of modern
agriculture, fertilizer-pesticide problems, water logging, salinity
Energy resources: Growing energy needs, renewable and non-renewable energy sources use of alternate
energy sources.
Land resources: Land as a resource, land degradation, Wasteland reclamation, man induced landslides, soil
erosion and desertification. Role of an individual in conservation of natural resources. Equitable use of
resources for sustainable lifestyles.
UNIT - III
Biodiversity and its conservation: Definition: genetic, species and ecosystem diversity- classification -
Value of biodiversity: consumptive use, productive use, social-Biodiversity at national and local levels.
India as a mega-diversity nation - Hot-sports of biodiversity - Threats to biodiversity: habitat loss, man-
wildlife conflicts. - Endangered and endemic species of India ? Conservation of biodiversity: conservation
of biodiversity.
UNIT - IV
Environmental Pollution: Definition, Cause, effects and control measures of Air pollution, Water
pollution, Soil pollution, Noise pollution, Nuclear hazards. Role of an individual in prevention of pollution. -
Pollution case studies.
Solid Waste Management: Sources, classification, effects and control measures of urban and industrial
solid wastes. Consumerism and waste products.
UNIT - V
Social Issues and the Environment: Urban problems related to energy -Water conservation, rain water
harvesting-Resettlement and rehabilitation of people; its problems and concerns. Environmental ethics:
Issues and possible solutions. Environmental Protection Act -Air (Prevention and Control of Pollution) Act.
?Water (Prevention and control of Pollution) Act -Wildlife Protection Act -Forest Conservation Act-Issues
involved in enforcement of environmental legislation. -Public awareness.
UNIT - VI
Environmental Management: Impact Assessment and its significance various stages of EIA, preparation of
EMP and EIS, Environmental audit. Ecotourism
The student should submit a report individually on any issues related to Environmental Studies course and
make a power point presentation.
Text Books:
1.
Environmental Studies by R. Rajagopalan, 2nd Edition, 2011, Oxford University Press.
2.
A Textbook of Environmental Studies by Shaashi Chawla, TMH, New Delhi
3.
Environmental Studies by P.N. Palanisamy, P. Manikandan, A. Geetha, and K. Manjula Rani;
Pearson Education, Chennai
Reference:
1.
Text Book of Environmental Studies by Deeshita Dave & P. Udaya Bhaskar, Cengage Learning.
2.
Environmental Studies by K.V.S.G. Murali Krishna, VGS Publishers, Vijayawada
3.
Environmental Studies by Benny Joseph, Tata McGraw Hill Co, New Delhi
4.
Environmental Studies by Piyush Malaviya, Pratibha Singh, Anoop singh: Acme Learning, New
Delhi
***
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0
3
2
ENGINEERING CHEMISTRY LABORATORY
List of Experiments
1. Introduction to chemistry laboratory ? Molarity, Normality, Primary, Secondary standard solutions,
Volumetric titrations, Quantitative analysis, Quantitative analysis etc.,
2. Trial experiment ? Estimation of HCI using standard Na2co3 solutions
3. Estimation of KMnO4 using standard Oxalic acid solution.
4. Estimation of Ferric iron using standard K2Cr2O7 solution.
5. Estimation of Copper using standard K2Cr2O7 solution.
6. Estimation of Total Hardness water using standard EDTA solution.
7. Estimation of Copper using standard EDTA solution.
8. Estimation of Copper using Colorimeter
9. Estimation of pH of the given sample solution using pH meter.
10. Conductometric Titrations between strong acid and strong base
11. Conductometric Titrations between strong acid and Weak base
12. Potentiometric Titrations between strong acid and strong base
13. Potentiometric Titrations between strong acid and Weak base
14. Estimatinog of Zinc using standard potassium ferrocyanide solution
15. Estimation of Vitamin ? C
TEXT BOOKS
1. Dr.Jyotsna Cherukuis(2012)Laboratory Manual of Engineering Chemistry-II, VGS Techno Series
2. Chemistry Practical Manual, Lorven Publications
3. K. Mukkanti (2009) Practical Engineering Chemistry, B.S.Publication
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2
ENGLISH ? COMMUNICATION SKILLS LAB ? I
Suggested Lab Manuals:
OBJECTIVE: To impart to the learner the skills of grammar as well as communication through listening,
speaking, reading, and writing including soft, that is life skills.
BASIC COMMUNICATION SKILLS
UNIT 1
A. Greeting and Introductions
B. Pure Vowels
UNIT 2
A. Asking for information and Requests
B. Diphthongs
UNIT 3
A. Invitations
B. Consonants
UNIT 4
A. Commands and Instructions
B. Accent and Rhythm
UNIT 5
A. Suggestions and Opinions
B. Intonation
Text Book:
`Strengthen your Communication Skills' Part-A by Maruthi Publications
Reference Books:
1. INFOTECH English (Maruthi Publications)
2. Personality Development and Soft Skills ( Oxford University Press, New Delhi)
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2
C PROGRAMMING LAB
Exercise l
a) Write a C Program to calculate the area of triangle using the formula
area = ( s (s-a) (s-b)(s-c))1/2 where s= (a+b+c)/2
b) Write a C program to find the largest of three numbers using ternary operator.
c) Write a C Program to swap two numbers without using a temporary variable.
Exercise 2
a) 2's complement of a number is obtained by scanning it from right to left and complementing all the bits
after the first appearance of a 1. Thus 2's complement of 11100 is 00100. Write a C program to find the 2's
complement of a binary number.
b) Write a C program to find the roots of a quadratic equation.
c) Write a C program, which takes two integer operands and one operator form the user, performs the
operation and then prints the result. (Consider the operators +,-,*, /, % and use Switch Statement)
Exercise 3
a) Write a C program to find the sum of individual digits of a positive integer and find the reverse of the
given number.
b) A Fibonacci sequence is defined as follows: the first and second terms in the sequence are 0 and 1.
Subsequent terms are found by adding the preceding two terms in the sequence. Write a C program to
generate the first n terms of the sequence.
c) Write a C program to generate all the prime numbers between 1 and n, where n is a value supplied by the
user.
Exercise 4
a) Write a C Program to print the multiplication table of a given number n up to a given value, where n is
entered by the user.
b) Write a C Program to enter a decimal number, and calculate and display the binary equivalent of that
number.
c) Write a C Program to check whether the given number is Armstrong number or not.
Exercise 5
a) Write a C program to interchange the largest and smallest numbers in the array.
b) Write a C program to implement a liner search.
c) Write a C program to implement binary search
Exercise 6
a) Write a C program to implement sorting of an array of elements .
b) Write a C program to input two m x n matrices, check the compatibility and perform addition and
multiplication of them
Exercise 7
Write a C program that uses functions to perform the following operations:
i.
To insert a sub-string in to given main string from a given position.
ii.
To delete n Characters from a given position in a given string.
iii.
To replace a character of string either from beginning or ending or at a specified location
Exercise 8
Write a C program that uses functions to perform the following operations using Structure:
i) Reading a complex number
ii) Writing a complex number
iii) Addition of two complex numbers
iv) Multiplication of two complex numbers
Exercise 9
Write C Programs for the following string operations without using the built in functions
- to concatenate two strings
- to append a string to another string
- to compare two strings
Exercise 10
Write C Programs for the following string operations without using the built in functions
- to find t he length of a string
- to find whether a given string is palindrome or not
Exercise 11
a) Write a C functions to find both the largest and smallest number of an array of integers.
b) Write C programs illustrating call by value and call by reference cncepts.
Exercise 12
Write C programs that use both recursive and non-recursive functions for the following
i) To find the factorial of a given integer.
ii) To find the GCD (greatest common divisor) of two given integers.
iii) To find Fibonacci sequence
Exercise 13
a) Write C Program to reverse a string using pointers
b) Write a C Program to compare two arrays using pointers
Exercise 14
a) Write a C program consisting of Pointer based function to exchange value of two integers using passing
by address.
b) Write a C program to swap two numbers using pointers
Exercise 15
Examples which explores the use of structures, union and other user defined variables
Exercise 16
a) Write a C program which copies one file to another.
b) Write a C program to count the number of characters and number of lines in a file.
c) Write a C Program to merge two files into a third file. The names of the files must be entered using
command line arguments.
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3
ENGLISH ?II
(Common to All Branches)
DETAILED TEXT-II : Sure Outcomes: English for Engineers and Technologists Recommended Topics
:
1. TECHNOLOGY WITH A HUMAN FACE
OBJECTIVE: To make the learner understand how modern life has been shaped by technology.
OUTCOME: The proposed technology is people's technology. It serves the human person instead of
making him the servant of machines.
2. CLIMATE CHANGE AND HUMAN STRATEGY
OBJECTIVE: To make the learner understand how the unequal heating of earth's surface by the Sun,
an atmospheric circulation pattern is developed and maintained.
OUTCOME: The learner's understand that climate must be preserved.
3. EMERGING TECHNOLOGIES
OBJECTIVE: To introduce the technologies of the 20th century and 21st centuries to the learners.
OUTCOME: The learner will adopt the applications of modern technologies such as nanotechnology.
4. WATER- THE ELIXIR OF LIFE
OBJECTIVE: To inform the learner of the various advantages and characteristics of water.
OUTCOME: The learners will understand that water is the elixir of life.
5. THE SECRET OF WORK
OBJECTIVE:: In this lesson, Swami Vivekananda highlights the importance of work for any
development.
OUTCOME: The students will learn to work hard with devotion and dedication.
6. WORK BRINGS SOLACE
OBJECTIVE: In this lesson Abdul Kalam highlights the advantage of work.
OUTCOME: The students will understand the advantages of work. They will overcome their personal
problems and address themselves to national and other problems.
Text Book : `Sure Outcomes' by Orient Black Swan Pvt. Ltd. Publishers
NON-DETAILED TEXT:
(From Modern Trailblazers of Orient Blackswan)
(Common single Text book for two semesters)
(Semester I (1 to 4 lessons)/ Semester II (5 to 8 lessons)
5. J.C. Bose
OBJECTIVE: To apprise of J.C.Bose's original contributions.
OUTCOME: The learner will be inspired by Bose's achievements so that he may start his own original
work.
6. Homi Jehangir Bhaba
OBJECTIVE: To show Bhabha as the originator of nuclear experiments in India.
OUTCOME: The learner will be inspired by Bhabha's achievements so as to make his own
experiments.
7. Vikram Sarabhai
OBJECTIVE: To inform the learner of the pioneering experiments conducted by Sarabhai in nuclear
energy and relevance of space programmes.
OUTCOME: The learner will realize that development is impossible without scientific research.
8. A Shadow- R.K.Narayan
OBJECTIVE: To expose the reader to the pleasure of the humorous story
OUTCOME: The learner will be in a position to appreciate the art of writing a short story and try his
hand at it.
Text Book : `Trail Blazers' by Orient Black Swan Pvt. Ltd. Publishers
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3
MATHEMATICS ? II
(MATHEMATICAL METHODS)
(Common to All Branches)
UNIT I Solution of Algebraic and Transcendental Equations:
Introduction- Bisection Method ? Method of False Position ? Iteration Method ? Newton-Raphson Method
(One variable and Simultaneous Equestions)
Subject Category
ABET Learning Objectives a e k
ABET internal assessments 1 2 4 6
JNTUK External Evaluation A B E
UNIT II Interpolation:
Introduction- Errors in Polynomial Interpolation ? Finite differences- Forward Differences- Backward
differences ?Central differences ? Symbolic relations and separation of symbols-Differences of a
polynomial-Newton's formulae for interpolation ? Interpolation with unevenly spaced points - Lagrange's
Interpolation formula
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 4 6
JNTUK External Evaluation A B E
UNIT III Numerical solution of Ordinary Differential equations:
Solution by Taylor's series-Picard's Method of successive Approximations-Euler's Method-Runge-Kutta
Methods
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 4 6
JNTUK External Evaluation A B E
UNIT IV Fourier Series:
Introduction- Determination of Fourier coefficients ? even and odd functions ?change of interval? Half-
range sine and cosine series
application: Amplitude, spectrum of a periodic function
Subject Category
ABET Learning Objectives a e d
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT V Fourier Transforms:
Fourier integral theorem (only statement) ? Fourier sine and cosine integrals - sine and cosine transforms ?
properties ? inverse transforms ? Finite Fourier transforms
Subject Category
ABET Learning Objectives a d e k
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT VI Z-transform:
Introduction? properties ? Damping rule ? Shifting rule ? Initial and final value theorems -Inverse z
transform- -Convolution theorem ? Solution of difference equation by Z -transforms.
Subject Category
ABET Learning Objectives a b e k
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
BOOKS:
1. B.S. GREWAL, Higher Engineering Mathematics, 42nd Edition, Khanna Publishers
2. DEAN G. DUFFY, Advanced Engineering Mathematics with MATLAB, CRC Press
3. V.RAVINDRANATH and P. VIJAYALAXMI, Mathematical Methods, Himalaya Publishing
House
4. ERWYN KREYSZIG, Advanced Engineering Mathematics, 9th Edition, Wiley-India
Subject
ABET Learning
ABET Internal
JNTUK External
Remarks
Category
Objectives
Assessments
Evaluation
a) Apply knowledge of math,
science, & engineering
b) Design & conduct experiments,
analyze & interpret data
A. Questions should
c) Design a system/process to meet
have:
desired needs within economic,
1. Objective tests
B. Definitions, Principle
social, political, ethical,
2. Essay questions tests
of operation or
health/safety, manufacturability, 3. Peer tutoring based
philosophy of concept.
& sustainability constraints
4. Simulation based
C. Mathematical
Theory
d) Function on multidisciplinary
5. Design oriented
treatment, derivations,
Design
teams
6. Problem based
analysis, synthesis,
Analysis
e) Identify, formulate, & solve
7. Experiential (project
numerical problems
Algorithms
engineering problems
based) based
with inference.
Drawing
f) Understand professional &
8. Lab work or field work
D. Design oriented
Others
ethical responsibilities
based
problems
g) Communicate effectively
9. Presentation based
E. Trouble shooting type
h) Understand impact of
10. Case Studies based
of questions
engineering solutions in global,
11. Role-play based
F. Applications related
economic, environmental, &
12. Portfolio based
questions
societal context
G. Brain storming
i) Recognize need for & be able to
questions
engage in lifelong learning
j) Know contemporary issues
k) Use techniques, skills, modern
tools for engineering practices
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3
MATHEMATICS ? III
(LINEAR ALGEBRA & VECTOR CALCULUS)
(Common to All Branches)
UNIT I Linear systems of equations:
Rank-Echelon form, Normal form ? Solution of Linear Systems ? Direct Methods- Gauss Elimination -
Gauss Jordon and Gauss Seidal Methods.
Application: Finding the current in a electrical circuit.
Subject Category
ABET Learning Objectives a e k
ABET internal assessments 1 2 6 4
JNTUK External Evaluation A B E
UNIT II Eigen values - Eigen vectors and Quadratic forms:
Eigen values - Eigen vectors? Properties ? Cayley-Hamilton Theorem - Inverse and powers of a matrix by
using Cayley-Hamilton theorem- Quadratic forms- Reduction of quadratic form to canonical form ? Rank -
Positive, negative definite - semi definite - index ? signature.
Application: Free vibration of a two-mass system.
Subject Category
ABET Learning Objectives a d e k
ABET internal assessments 1 2 4 6
JNTUK External Evaluation A B E
UNIT III Multiple integrals:
Review concepts of Curve tracing ( Cartesian - Polar and Parametric curves)-
Applications of Integration to Lengths, Volumes and Surface areas of revolution in Cartesian and Polar
Coordinates.
Multiple integrals - double and triple integrals ? change of variables ? Change of order of Integration
Application: Moments of inertia
Subject Category
ABET Learning Objectives a e d
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT IV Special functions:
Beta and Gamma functions- Properties - Relation between Beta and Gamma functions- Evaluation of
improper integrals
Application: Evaluation of integrals
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT V Vector Differentiation:
Gradient- Divergence- Curl - Laplacian and second order operators -Vector identities
Application: Equation of continuity, potential surfaces
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT VI Vector Integration:
Line integral ? work done ? Potential function ? area- surface and volume integrals Vector integral
theorems: Greens, Stokes and Gauss Divergence Theorems (Without proof) and related problems.
application: work done, Force
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
BOOKS:
1. GREENBERG, Advanced Engineering Mathematics, 9th Edition, Wiley-India
2. B.V. RAMANA, Higher Engineering Mathematics, Tata McGrawhill
3. ERWIN KREYSZIG, Advanced Engineering Mathematics, 9th Edition, Wiley-India
4. PETER O'NEIL, Advanced Engineering Mathematics, Cengage Learning
5. D.W. JORDAN AND T. SMITH, Mathematical Techniques, Oxford University Press
Subject
ABET Learning
ABET Internal
JNTUK External Evaluation
Remarks
Category
Objectives
Assessments
1. Objective
a) Apply knowledge of math,
tests
science, & engineering
2. Essay
b) Design & conduct experiments,
questions tests
analyze & interpret data
3. Peer tutoring
c) Design a system/process to meet
based
A. Questions should have:
desired needs within economic,
4. Simulation
B. Definitions, Principle of
social, political, ethical,
based
operation or philosophy of
health/safety, manufacturability, &
5. Design
concept.
Theory
sustainability constraints
oriented
C. Mathematical treatment,
Design
d) Function on multidisciplinary teams
6. Problem based
derivations, analysis,
Analysis
e) Identify, formulate, & solve
7. Experiential
synthesis, numerical
Algorithms
engineering problems
(project based)
problems with inference.
Drawing
f) Understand professional & ethical
based
D. Design oriented problems
Others
responsibilities
8. Lab work or
E. Trouble shooting type of
g) Communicate effectively
field work
questions
h) Understand impact of engineering
based
F. Applications related
solutions in global, economic,
9. Presentation
questions
environmental, & societal context
based
G. Brain storming questions
i) Recognize need for & be able to
10. Case Studies
engage in lifelong learning
based
j) Know contemporary issues
11. Role-play
k) Use techniques, skills, modern tools
based
for engineering practices
12. Portfolio based
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ENGINEERING PHYSICS
UNIT-I
PHYSICAL OPTICS FOR INSTRUMENTS
"Objective Designing an instrument and enhancing the resolution for its operation would be effective as achieved
through study of applicational aspects of physical Optics"
INTERFACE : Introduction ? Interference in thin films by reflection ? Newton's rings.
DIFFRACTION : Introduction ? Fraunhofer diffraction - Fraunhofer diffraction at double slit (qualitative) ?
Diffraction grating ? Grating spectrum ? Resolving power of a grating ? Rayleigh's criterion for resolving power.
POLARIZATION : Introduction ? Types of Polarization ? Double refraction ? Quarter wave plate ad Half Wave
plate.
UNIT-II
COHERENT OPTICS ? COMMUNICATIONS AND STRUCTURE OF MATERIALS
Objectives while lasers are trusted Non-linear coherent sources established for the fitness of instrumentation,
establishing a structure property relationship for materials requires allotment of an equivalent footing in convening the
physics knowledge base.
LASERS: Introduction ? coherent sources ? Characteristics of lasers ? Spontaneous and Stimulated emission of
radiation ? Einstein's coefficients ? Population inversion ? Three and Four level pumping schemes ? Ruby laser ?
Helium Neon laser.
FIBER OPTICS : Introduction ? Principle of Optical Fiber ? Acceptance angle and acceptance cone ? Numerical
aperture.
CRYSTALLOGRAPHY : Introduction ? Space lattice ? Basis ? Unit Cell ? Lattice parameters ? Bravais lattices ?
Crystal systems ? Structures and packing fractions of SC,BCC and FCC
X-RAY DIFFRACTION TECHNIQUES : Directions and planes in crystals ? Miller indices ? Separation between
successive [h k l] planes ? Bragg's law.
UNIT-III
MAGNETIC, ELECTRIC FIELD RESPONSE OF MATERIALS & SUPERCONDUCTIVITY
"Objective many of the Electrical or Electronic gadgets are designed basing on the response of naturally abundant and
artificially made materials, while their response to E- or H- fields controls their performance.
MAGNETIC PROPERTIES : Magnetic permeability ? Magnetization ? Organ or magnetic moment ? Classification
of Magnetic materials ? Dir, para, Ferro, anti ferro and ferri-magnetism ? Hysteresis curve
DIELECTRIC PROPERTIES : Introduction ? Dielectric constant ? Electronic, ionic and orientational polarization
? internal fields ? Clausius ? Mossotti equation ? Dielectric loss, Breakdown and Strength.
SUPERCONDUCTIVITY : General properties ? Meissner effect ? Type I and Type II superconductors ? BCS
Theory Flux quantization London's equations ? Penetration depth ? DC and AC Josephson effects ? SQUIDS.
UNIT ? IV
ACOUSTICS AND EM ? FIELDS:
Objective: The utility and nuances of ever pervading SHM and its consequences would be the first hand-on to as it
clearly conveyed through the detailed studies of Acoustics of Buildings, while vectorial concepts of EM fields paves
the student to gear ? up for a deeper understanding.
ACOUSTICS: Sound absorption, absorption coefficient and its measurements, Reverberations time ? Sabine's
formula, Eyring's formula.
ELECTRO-MAGNETIC FIELDS: Gauss and stokes theorems (qualitative) ? Fundamental laws of
electromagnetism ? Maxwell's Electromagnetic Equations (Calculus approach).
UNIT ? V
QUANTUM MECHANICS FOR ELECTRONIC TRANSPORT
Objective: The discrepancy between classical estimates and laboratory observations of physical properties exhibited
by materials would be lifted out through the understanding quantum picture of sub-atomic world dominated by
electron and its presence.
QUANTUM MECHANICS: Introduction to matter waves ? Schrodinger Time Independent and Time Dependent
wave equations ? Particle in a box.
FREE ELECTRON THEORY: Classical free electron theory ? electrical conductivity ? Mean free path ?
Relaxation time and drifty velocity ? Quantum free electron theory ? Fermi ? Dirac (analytical) and its dependence on
temperature ? Fermi energy ? density of states ? derivations for current density.
BAND THEORY OF SOLIDS: Bloch theorem (qualitative) ? Kronig ? Penney model ? Origin of energy band
formation in solids ? Classification of materials into conductors, semi ? conductors & insulators ? Concepts of
effective mass of electron - concept of hole.
UNIT ? VI
SEMICONDUCTOR PHYSICS:
Objective: In the wake of ever increasing demand for the space and power the watch word "small is beautiful",
understanding the physics of electronic transport as underlying mechanism for appliances would provide a knowledge
base.
Introduction ? Intrinsic semiconductor and carrier concentration ? Equation for conductivity ? Extrinsic
semiconductor and carrier concentration ? Drift and diffusion ? Einstein's equation ? Hall Effect ? direct & indirect
band gap semiconductors ? Electronic transport Mechanism for LEDs, Photo conductors and solar cells.
TEXT BOOKS
1. Solid state Physics by A.J. Dekker (Mc Millan India Ltd)
2. A text book of Engineering Physics by M.N. Avadhanulu & P.G. Kshirasagar (S. Chand publications)
3. Engineering Physics b;y M.R. Srinivasan (New Age international publishers )
REFERENCE BOOKS
1. `Introduction to solid state physics' by Charles Kittle (Willey India Pvt.Ltd)
2. `Applied Physics' by T. Bhimasenkaram (BSP BH Publications )
3. `Applied Physics' by M.Arumugam (Anuradha Agencies)
4. `Engineering Physics' by Palanisamy ( Scitech Publishers )
5. `Engineering Physics' by D.K.Bhattacharya ( Oxford University press)
6. `Engineering Physics' by Mani Naidu S (Pearson Publications)
7. `Engineering Physics' by Sanjay D Jain and Girish G Sahasrabudhe (University Press)
8. `Engineering Physics' by B.K.Pandey & S. Chaturvedi ( Cengage Learning )
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Professional Ethics and Human Values
UNIT I : Human Values:
Morals, Values and Ethics ? Integrity ? Work Ethics ? Service Learning ? Civic Virtue ? Respect for
others ? Living Peacefully ? Caring ? Sharing ? Honesty ?Courage ? Value time ? Co-operation ?
Commitment ? Empathy ? Self-confidence ? Spirituality- Character.
UNIT II : Engineering Ethics:
The History of Ethics-Purposes for Engineering Ethics-Engineering Ethics-Consensus and Controversy ?
Professional and Professionalism ?Professional Roles to be played by an Engineer ?Self Interest, Customs
and Religion-Uses of Ethical Theories-Professional Ethics-Types of Inquiry ? Engineering and Ethics-
Kohlberg's Theory ? Gilligan's Argument ?Heinz's Dilemma.
UNIT III : Engineering as Social Experimentation:
Comparison with Standard Experiments ? Knowledge gained ? Conscientiousness ? Relevant Information ?
Learning from the Past ? Engineers as Managers, Consultants, and Leaders ? Accountability ? Role of
Codes ? Codes and Experimental Nature of Engineering.
UNIT IV : Engineers' Responsibility for Safety and Risk:
Safety and Risk, Concept of Safety ? Types of Risks ? Voluntary v/s Involuntary Risk- Short term v/s
Long term Consequences- Expected Probability- Reversible Effects- Threshold Levels for Risk- Delayed v/s
Immediate Risk- Safety and the Engineer ? Designing for Safety ? Risk-Benefit Analysis-Accidents.
UNIT V : Engineers' Responsibilities and Rights:
Collegiality-Techniques for Achieving Collegiality ?Two Senses of Loyalty-obligations of Loyalty-
misguided Loyalty ? professionalism and Loyalty- Professional Rights ?Professional Responsibilities ?
confidential and proprietary information-Conflict of Interest-solving conflict problems ? Self-interest,
Customs and Religion- Ethical egoism-Collective bargaining-Confidentiality-Acceptance of Bribes/Gifts-
when is a Gift and a Bribe-examples of Gifts v/s Bribes-problem solving-interests in other companies-
Occupational Crimes-industrial espionage-price fixing-endangering lives- Whistle Blowing-types of whistle
blowing-when should it be attempted-preventing whistle blowing.
UNIT VI : Global Issues:
Globalization- Cross-culture Issues-Environmental Ethics-Computer Ethics-computers as the instrument of
Unethical behaviour-computers as the object of Unethical Acts-autonomous computers-computer codes of
Ethics-Weapons Development-Ethics and Research-Analysing Ethical Problems in Research-Intellectual
Property Rights.
********
Text Books:
1. "Engineering Ethics and Human Values" by M.Govindarajan, S.Natarajan and V.S.SenthilKumar-
PHI Learning Pvt. Ltd-2009
2. "Professional Ethics and Morals" by Prof.A.R.Aryasri, Dharanikota Suyodhana-Maruthi Publications
3. "Professional Ethics and Human Values" by A.Alavudeen, R.Kalil Rahman and M.Jayakumaran-
Laxmi Publications
4. "Professional Ethics and Human Values" by Prof.D.R.Kiran-
5. "Indian Culture, Values and Professional Ethics" by PSR Murthy-BS Publication
6. "Ethics in Engineering" by Mike W. Martin and Roland Schinzinger ? Tata McGraw-Hill ? 2003.
7. "Engineering Ethics" by Harris, Pritchard and Rabins, CENGAGE Learning, India Edition, 2009.
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3
ENGINEERING DRAWING
Objective: Engineering drawing being the principle method of communication for engineers, the objective
to introduce the students, the techniques of constructing the various types of polygons, curves and scales.
The objective is also to visualize and represent the 3D objects in 2D planes with proper dimensioning,
scaling etc.
UNIT I
Objective: The objective is to introduce the use and the application of drawing instruments and to make the
students construct the polygons, curves and various types of scales. The student will be able to understand
the need to enlarge or reduce the size of objects in representing them.
Polygons, Construction of regular polygons using given length of a side; Ellipse, arcs of circles and Oblong
methods; Scales ? Vernier and Diagonal scales.
UNIT II
Objective: The objective is to introduce orthographic projections and to project the points and lines parallel
to one plane and inclined to other.
Introduction to orthographic projections; projections of points; projections of straight lines parallel to both
the planes; projections of straight lines ? parallel to one plane and inclined to the other plane.
UNIT III
Objective: The objective is to make the students draw the projections of the lines inclined to both the planes.
Projections of straight lines inclined to both the planes, determination of true lengths, angle of inclinations
and traces.
UNIT IV
Objective: The objective is to make the students draw the projections of the plane inclined to both the
planes.
Projections of planes: regular planes perpendicular/parallel to one plane and inclined to the other reference
plane; inclined to both the reference planes.
UNIT V
Objective: The objective is to make the students draw the projections of the various types of solids in
different positions inclined to one of the planes.
Projections of Solids ? Prisms, Pyramids, Cones and Cylinders with the axis inclined to one of the planes.
UNIT VI
Objective: The objective is to represent the object in 3D view through isometric views. The student will be
able to represent and convert the isometric view to orthographic view and vice versa.
Conversion of isometric views to orthographic views; Conversion of orthographic views to isometric views.
TEXT BOOKS:
1. Engineering Drawing by N.D. Butt, Chariot Publications
2. Engineering Drawing by K.L.Narayana & P. Kannaiah, Scitech Publishers.
3. Engineering Graphics by PI Varghese, McGrawHill Publishers
REFERENCE BOOKS:
1. Engineering Graphics for Degree by K.C. John, PHI Publishers
2. Engineering Drawing by Agarwal & Agarwal, Tata McGraw Hill Publishers
3. Engineering Drawing + AutoCad ? K Venugopal, V. Prabhu Raja, New Age
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ENGLISH ? COMMUNICATION SKILLS LAB ? II
Suggested Lab Manuals:
OBJECTIVE: To impart to the learner the skills of grammar as well as communication through listening,
speaking, reading, and writing including soft, that is life skills.
ADVANCED COMMUNICATION SKILLS
UNIT 6
Body language
UNIT 7
Dialogues
UNIT 8
Interviews and Telephonic Interviews
UNIT 9
Group Discussions
UNIT 10
Presentation Skills
UNIT 11
Debates
Text Book:
`Strengthen your Communication Skills' Part-B by Maruthi Publications
Reference Books:
1. INFOTECH English (Maruthi Publications)
2. Personality Development and Soft Skills ( Oxford University Press, New Delhi)
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ENGINEERING PHYSICS LAB
List of Experiments
1. Determination of wavelength of a source-Diffraction Grating-Normal incidence
2. Newton's rings ?Radius of Curvature of Plano_Convex Lens.
3. Determination of thickness of a thin object using parallel interference fringes.
4. Determination of Rigidity modulus of a material- Torsional Pendulum.
5. Determination of Acceleration due to Gravity and Radius of Gyration- Compound Pendulum.
6. Melde's experiment ? Transverse and Longitudinal modes.
7. Verification of laws of stretched string ? Sonometer.
8. Determination of velocity of sound ? Volume resonator.
9. L C R Senes Resonance Circuit
10. Study of I/V Characteristics of Semiconductor diode
11. I/V characteristics of Zener diode
12. Thermistor characteristics ? Temperature Coefficient
13. Magnetic field along the axis of a current carrying coil ? Stewart and Gee's apparatus.
14. Energy Band gap of a Semiconductor p.n junction.
15. Hall Effect for semiconductor.
REFERENCE:
1. Engineering Physics Lab Manual by Dr.Y. Aparna & Dr.K.Venkateswarao (V.G.S.Book links)
2. Physics practical manual, Lorven Publications.
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Engineering Physics
Virtual Labs - Assignments
List of Experiments
1. Hall Effect
2. Crystal Structure
3. Hysteresis
4. Brewster's angle
5. Magnetic Levitation / SQUID
6. Numerical Aperture of Optical fiber
7. Photoelectric Effect
8. Simple Harmonic Motion
9. Damped Harmonic Motion
10. LASER ? Beam Divergence and Spot size
URL : WWW.vlab.co.in
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ENGINEERING WORKSHOP & IT WORKSHOP
ENGINEERING WORKSHOP:
Course Objective: To impart hands-on practice on basic engineering trades and skills.
Note: At least two exercises to be done from each trade.
Trade:
Carpentry
1. T-Lap Joint
2. Cross Lap Joint
3. Dovetail Joint
4. Mortise and Tennon Joint
Fitting
1. Vee Fit
2. Square Fit
3. Half Round Fit
4. Dovetail Fit
Black Smithy
1. Round rod to Square
2. S-Hook
3. Round Rod to Flat Ring
4. Round Rod to Square headed bolt
House Wiring
1. Parallel / Series Connection of three bulbs
2. Stair Case wiring
3. Florescent Lamp Fitting
4. Measurement of Earth Resistance
Tin Smithy
1. Taper Tray
2. Square Box without lid
3. Open Scoop
4. Funnel
IT WORKSHOP:
Objectives: Enabling the student to understand basic hardware and software tools through practical
exposure
PC Hardware:
Identification of basic peripherals, assembling a PC, installation of system software like MS Windows,
device drivers. Troubleshooting Hardware and software _ some tips and tricks.
Internet & World Wide Web:
Different ways of hooking the PC on to the internet from home and workplace and effectively usage of the
internet, web browsers, email, newsgroups and discussion forums .Awareness of cyber hygiene( protecting
the personal computer from getting infected with the viruses), worms and other cyber attacks .
Productivity tools Crafting professional word documents; excel spread sheets, power point presentations
and personal web sites using the Microsoft suite of office tools
(Note: Student should be thoroughly exposed to minimum of 12 Tasks)
PC Hardware
Task 1: Identification of the peripherals of a computer.
To prepare a report containing the block diagram of the CPU along with the configuration of each peripheral
and its functions. Description of various I/O Devices
Task 2(Optional) : A practice on disassembling the components of a PC and assembling them to back to
working condition.
Task 3: Examples of Operating systems- DOS, MS Windows, Installation of MS windows on a PC.
Task 4: Introduction to Memory and Storage Devices , I/O Port, Device Drivers, Assemblers, Compilers,
Interpreters , Linkers, Loaders.
Task 5:
Hardware Troubleshooting (Demonstration):
Identification of a problem and fixing a defective PC(improper assembly or defective peripherals).
Software Troubleshooting (Demonstration):. Identification of a problem and fixing the PC for any
software issues
Internet & Networking Infrastructure
Task 6: Demonstrating Importance of Networking, Transmission Media, Networking Devices- Gateway,
Routers, Hub, Bridge, NIC ,Bluetooth Technology, Wireless Technology, Modem, DSL, Dialup Connection.
Orientation & Connectivity Boot Camp and web browsing: Students are trained to configure the network
settings to connect to the Internet. They are trained to demonstrate the same through web browsing
(including all tool bar options) and email access.
Task 7: Search Engines & Netiquette:
Students are enabled to use search engines for simple search, academic search and any other context based
search (Bing, Google etc). Students are acquainted to the principles of micro-blogging, wiki, collaboration
using social networks, participating in online technology forums
Task 8: Cyber Hygiene (Demonstration): Awareness of various threats on the internet. Importance of
security patch updates and anti-virus solutions. Ethical Hacking, Firewalls, Multi-factor authentication
techniques including Smartcard, Biometrics are also practiced
Word
Task 9 : MS Word Orientation:
Accessing, overview of toolbars, saving files, Using help and resources, rulers, formatting ,Drop Cap ,
Applying Text effects, Using Character Spacing, OLE in Word, using templates, Borders and Colors,
Inserting Header and Footer, Using Date and Time option, security features in word, converting documents
while saving
Task 10: Creating project : Abstract Features to be covered:-Formatting Styles, Inserting table, Bullets and
Numbering, Changing Text Direction, Cell alignment, Footnote, Hyperlink, Symbols, Spell Check , Track
Changes, Images from files and clipart, Drawing toolbar and Word Art, Formatting Images, Textboxes and
Paragraphs.
Excel
Task 11: Using spread sheet features of EXCEL including the macros, formulae, pivot tables, graphical
representations
Creating a Scheduler - Features to be covered:- Gridlines, Format Cells, Summation, auto fill, Formatting
Text
LOOKUP/VLOOKUP
Task 12: Performance Analysis - Features to be covered:- Split cells, freeze panes, group and outline,
Sorting, Boolean and logical operators, Conditional formatting
Power Point
Task 13: Students will be working on basic power point utilities and tools which help them create basic
power point presentation. Topic covered during this week includes :- PPT Orientation, Slide Layouts,
Inserting Text, Word Art, Formatting Text, Bullets and Numbering, Auto Shapes, Lines and Arrows,
Hyperlinks, Inserting ?Images, Clip Art, Tables and Charts in Powerpoint.
Task 14: Focusing on the power and potential of Microsoft power point. Helps them learn best practices in
designing and preparing power point presentation. Topic covered during this week includes: - Master
Layouts (slide, template, and notes), Types of views (basic, presentation, slide slotter, notes etc), Inserting ?
Background, textures, Design Templates, Hidden slides, OLE in PPT.
TEXT BOOK:
Faculty to consolidate the workshop manuals using the following references
1. Computer Fundamentals, Anita Goel, Pearson
2. Scott Mueller's Upgrading and Repairing PCs, 18/e, Scott. Mueller, QUE, Pearson,2008
3. Information Technology Workshop,3e, G Praveen Babu, M V Narayana BS Publications.
4. Comdex Information Technology , Vikas Gupta, dreamtech.
REFERENCE BOOK:
1. Essential Computer and IT Fundamentals for Engineering and Science Students, Dr. N.B. Venkateswarlu
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MANAGERIAL ECONOMICS AND FINANCIAL ANALYSIS
Unit ? I: (*The Learning objective of this Unit is to understand the concept and nature of Managerial
Economic s and its relationship with other disciplines, Concept of Demand and Demand forecasting)
Introduction to Managerial Economics and demand Analysis:
Definition of Managerial Economics and Scope-Managerial Economics and its relation with other subjects-
Concepts of Demand-Types-Determents-Law of Demand its Exception-Elasticity of Demand-Types and
Measurement-Demand forecasting and its Methods.
(**The Learner is equipped with the knowledge of estimating the Demand for a product and the relationship
between Price and Demand)
Unit ? II: (*The Learning objective of this Unit is to understand the concept of Production function,
Input Output relationship, different Cost Concepts and Concept of Cost-Volume-Profit Analysis)
Production and Cost Analyses:
Production function-Isoquants and Isocosts-Law of Variable proportions-Cobb-Douglas Production
function-Economics of Sale-Cost Concepts-Opportunity Cost-Fixed vs Variable Costs-Explicit Costs vs
Implicit Costs-Out of Pocket Costs vs Imputed Costs-Cost Volume Profit analysis-Determination of Break-
Even Point (Simple Problem)
(**One should understand the Cost Concepts for decision making and to estimate the least cost combination
of inputs).
Unit ? III: (*The Learning Objective of this Unit is t understand the Nature of Competition,
Characteristics of Pricing in the different market structure and significance of various pricing
methods)
Introduction to Markets, Theories of the Firm & Pricing Policies:
Market Structures: Perfect Competition, Monopoly and Monopolistic and Oligopoly ? Features ? Price,
Output Determination ? Managerial Theories of firm: Maris and Williamson's models ? Methods of Pricing:
Limit Pricing, Market Skimming Pricing, Internet Pricing: Flat Rate Pricing, Usage sensitive, Transaction
based pricing, Priority Pricing.
(** One has to understand the nature of different markets and Price Output determination under various
market conditions)
Unit ? IV: (*The Learning objective of this Unit is to know the different forms of Business
organization and their Merits and Demerits both public & private Enterprises and the concepts of
Business Cycles)
Types of Business Organization and Business Cycles:
Features and Evaluation of Sole Trader ? Partnership ? Joint Stock Company ? State/Public Enterprises and
their forms ? Business Cycles ? Meaning and Features ? Phases of Business Cycle.
(**One should equipped with the knowledge of different Business Units)
Unit ? V: (*The Learning objective of this Unit is to understand the different Accounting Systems
preparation of Financial Statements and uses of different tools for performance evaluation)
Introduction to Accounting & Financing Analysis:
Introduction to Double Entry Systems ? Preparation of Financial Statements-Analysis and Interpretation of
Financial Statements-Ratio Analysis ? Preparation of Funds flow cash flow statements (Simple Problems)
(**The Learner is able to prepare Financial Statements and the usage of various Accounting tools for
Analysis)
Unit ? VI: (*The Learning objective of this Unit is to understand the concept of Capital, Capitalization,
Capital Budgeting and to know the techniques used to evaluate Capital Budgeting proposals by using
different methods)
Capital and Capital Budgeting: Capital Budgeting: Meaning of Capital-Capitalization-Meaning of Capital
Budgeting-Need for Capital Budgeting-Techniques of Capital Budgeting-Traditional and Modern Methods.
(**The Learner is able to evaluate various investment project proposals with the help of capital budgeting
techniques for decision making)
Note: *Learning Objective
** Learning Assessment
TEXT BOOKS
1. Dr. N. Appa Rao, Dr. P. Vijay Kumar: `Managerial Economics and Financial Analysis', Cengage
Publications, New Delhi ? 2011
2. Dr. A. R. Aryasri ? Managerial Economics and Financial Analysis, TMH 2011
3. Prof. J.V.Prabhakara rao, Prof. P. Venkatarao. `Managerial Economics and Financial Analysis', Ravindra
Publication.
REFERENCES:
1. V. Maheswari: Managerial Economics, Sultan Chand.
2. Suma Damodaran: Managerial Economics, Oxford 2011.
3. Dr. B. Kuberudu and Dr. T. V. Ramana: Managerial Economics & Financial Analysis, Himalaya
Publishing House 2011.
4. Vanitha Agarwal: Managerial Economics, Pearson Publications 2011.
5. Sanjay Dhameja: Financial Accounting for Managers, Pearson.
6. Maheswari: Financial Accounting, Vikas Publications.
7. S. A. Siddiqui & A. S. Siddiqui: Managerial Economics and Financial Analysis, New Age International
Publishers, 2012
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OBJECT-ORIENTED PROGRAMMING THROUGH C++
Objectives: Expertise in object oriented principles and their implementation in C++
UNIT I :
Objectives: Exposure to basics of object oriented mode, C++ programming and I/O in C++
INTRODUCTION: Differences Between C And C++, The Object Oriented Technology , Disadvantage of
Conventional Programming, Concepts of Object Oriented Programming, Advantages of OOP Structure of
A C++ Program, Header Files And Libraries
INPUT AND OUTPUT IN C++ :
Introduction, Streams In C++ And Stream Classes, Pre-Defined Streams, Stream Classes, Formatted And
Unformatted Data,Unformatted Console I/O Operations, Member Functions Of Istream Class, Formatted
Console I/O Operations, Bit Fields, Flags Without Bit Field, Manipulators, User Defined Manipulators
UNIT II :
Objectives: Focus on Basic concept in C++ programming, Operators, control structures , functions,
overloading, recursion
Tokens In C++, Variable Declaration And Initialization, Data Types, Operators In C And C++, Scope
Access Operator, Namespace, Memory Management Operators, Comma Operator, Revision Of Decision
Statements, Control Loop Statements
FUNCTIONS IN C++ : Introduction, Structure Of Function, Passing Arguments, Lvalues And Rvalues,
Retrun By Reference, Returning More Values By Reference, Default Arguments, Const Arguments,
Inputting Default Arguments, Inline Functions, Function Overloading, Principles Of Function Overloading,
Recursion
UNIT III :
Objectives: Acquaintance with classes, objects and member functions
CLASSES AND OBJECTS : Introduction, Classes In C++, Declaring Objects, Access Specifiers And
Their Scope, Member Functions, Outside Member Function As Inline, Data Hiding or Encapsulation,
Classes, Objects and Memory, Static Member Variables, Static Member Functions Static Object, Array Of
Objects, Objects As Function Arguments, Friend Functions, The Const Member Functions, The Volatile
Member Function, Recursive Member Function, Local Classes, Empty, Static And Const Classes, Member
Function and Non- Member Function, Overloading Member Functions, Nested Class
UNIT IV :
Objectives: Focus on constructors , destructors, variants in them, operator overloading, type
conversions
CONSTRUCTORS AND DESTRUCTORS : Introduction, Characteristic Of Constructors & Destructors,
Applications With Constructors, Parameterized Constructor, Overloading Constructors (Multiple
Constructors), Array Of Objects Using Constructors, Constructors With Default Arguments, Copy
Constructors, The Const Objects, Destructors, Calling Constructors And Destructors, Qualifier And Nested
Classes, Anonymous Objects, Private Constructors And Destructors, Dynamic Initialization Using
Constructors, Dynamic Operators and Constructors, Recursive Constructor, Constructor and Destructor
With Static Members, Local Vs. Global Object
OPERATOR OVERLOADING AND TYPE CONVERSION : Introduction, Overloading Unary
Operators, Constraint on Increment And Decrement Operators, Overloading Binary Operators, Overloading
With Friend Function, Overloading Assignment Operator (=), Type Conversion, Rules For Overloading
Operators, One Argument Constructor And Operator Function, Overloading Stream Operators
UNIT V :
Objective: Concentration on inheritance, types of inheritance, polymorphism, virtual functions
INHERITANCE : Introduction, Reusability, Access Specifiers And Simple Inheritance, Protected Data
With Private Inheritance, Types Of Inheritances(Single Inheritance, Multilevel Inheritance, Multiple
Inheritance, Hierarchical Inheritance, Hybrid Inheritance, Multipath Inheritance), Virtual Base Classes,
Constructors, Destructors, And Inheritance, Object As A Class Member, Abstract Classes, Qualifier Classes
And Inheritance, Constructor In Derived Class, Pointers And Inheritance, Overloading Member Function,
Advantages Of Inheritance, Disadvantages Of Inheritance.
BINDING, POLYMORPHISM AND VIRTUAL FUNCTIONS: Introduction, Binding In C++, Static
(Early) Binding, Dynamic (Late) Binding, Pointer To Base And Derived Class Objects, Virtual Functions,
Rules For Virtual Functions, Array Of Pointers, Pure Virtual Functions, Abstract Classes, Working Of
Virtual Functions, Virtual Functions In Derived Classes, Object Slicing, Constructors And Virtual
Functions, Virtual Destructors, Destructor And Virtual Functions.
UNIT VI :
Objectives: Focus on Files, File operations, generic programming, templates, function templates,
Exception handling
APPLICATIONS WITH FILES: Introduction, File Stream Classes, File Opening Modes, File Pointers
And Manipulators, Manipulators With Arguments, Sequential Access Files, Binary And ASCII Filesrandom
Access Operation,
GENERIC PROGRAMMING WITH TEMPLATES : Introduction, Need Of Template, Definition Of
Class Template, Normal Function Template, Working Of Function Templates, Class Template With More
Parameters, Functions Templates With More Arguments, Overloading Of Template Functions, Member
Function Templates,Recursion With Template Function, Class Template With Overloaded Operators, Class
Template Revisited, Class Templates And Inheritance, Container Classes , Types Of Containers, Container
Adaptors, Iterators
EXCEPTION HANDLING : Introduction, Principles Of Exception Handling,The Keywords Try, Throw
And Catch , Exception Handling Mechanism, Multiple Catch Statements, Catching Multiple Exceptions, Re-
Throwing Exception, Specifying Exception, Exceptions In Constructor And Destructors, Controlling
Uncaught Exceptions, Class Template With Exception Handling
TEXT BOOKS :
1. Programming In C++ , Ashok N Kamthane. Pearson 2nd Edition.
2. Object Oriented Programming C++ , Joyce Farrell, Cengage
3. Mastering C ++, Venugopal, Rajkumar, Ravi kumar TMH
4. Object Oriented Programming with C++, 2nd ed, Sourav Sahay, OXFORD
REFERENCE BOOKS:
1. The Complete Reference, C++, 4ed, Herbert Schildt, TMH
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MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE
Objectives: Acquaintance with the basic mathematical implication for computer science, applications
of mathematics in computer science
UNIT I:
Objective: Acquiring the relevance of statements, inferences and predicates in computer science
Mathematical Logic :
Propositional Calculus: Statements and Notations, Connectives, Truth Tables, Tautologies, Equivalence of
Formulas, Duality law, Tautological Implications, Normal Forms, Theory of Inference for Statement
Calculus, Consistency of Premises, Indirect Method of Proof.
Predicate calculus: Predicative Logic, Statement Functions, Variables and Quantifiers, Free & Bound
Variables, Inference theory for predicate calculus.
UNIT II :
Objective: Overview of number theory, basic algorithms in number theory and mathematical
induction
Number Theory & Induction:
Properties of integers, Division Theorem, The Greatest Common Divisor, Euclidean Algorithm, Least
Common Multiple, Testing for Prime Numbers, The Fundamental Theorem of Arithmetic, Modular
Arithmetic ( Fermat's Theorem and Euler `s Theorem)
Mathematical Induction: Principle of Mathematical Induction, exercises
UNIT III:
Objective: Focuses on sets and relations and their operations, relations and functions
Set Theory:
Introduction, Operations on Binary Sets, Principle of Inclusion and Exclusion
Relations: Properties of Binary Relations, Relation Matrix and Digraph, Operations on Relations, Partition
and Covering, Transitive Closure, Equivalence, Compatibility and Partial Ordering Relations, Hasse
Diagrams.
Functions: Bijective Functions, Composition of Functions, Inverse Functions, Permutation Functions,
Recursive Functions
UNIT IV:
Objectives: Exposure of graphs, their representation, types, trees and tree variants
Graph Theory:
Basic Concepts of Graphs, Sub graphs, Matrix Representation of Graphs: Adjacency Matrices, Incidence
Matrices, Isomorphic Graphs, Paths and Circuits, Eulerian and Hamiltonian Graphs, Multigraphs, (Problems
and Theorems without proofs)
Planar Graphs, Euler's Formula, Graph Colouring and Covering, Chromatic Number,( Problems and
Theorems without proofs)
Trees, Directed trees, Binary Trees, Decision Trees,
Spanning Trees: Properties, Algorithms for Spanning trees and Minimum Spanning Tree.
UNIT V:
Objective: Overview of algebraic structures, Group theory, Binomial theorem, permutations and
combinations
Algebraic Structures: Lattice: Properties, Lattices as Algebraic Systems, Algebraic Systems with one
Binary Operation, Properties of Binary operations, Semi groups and Monoids: Homomorphism of Semi
groups and Monoids, Groups: Abelian Group, Cosets, Subgroups ( Definitions and Examples of all
Structures) Algebraic Systems with two Binary Operations: Rings
Combinatorics: Basic of Counting, Permutations, Derangements, Permutations with Repetition of Objects,
Circular Permutations, Restricted Permutations, Combinations, Restricted Combinations, Pigeonhole
Principle and its Application.
Binomial Theorem: Binomial and Multinomial Coefficients, Generating Functions of Permutations and
Combinations, The Principles of Inclusion ? Exclusion.
UNIT VI:
Objective: Overview of generating functions, recurrence relations and solving recurrence relations
Recurrence Relation:
Generating Function of Sequences, Partial Fractions, Calculating Coefficient of Generating Functions
Recurrence Relations, Formulation as Recurrence Relations, Solving linear homogeneous recurrence
Relations by substitution, generating functions and The Method of Characteristic Roots.
Solving Inhomogeneous Recurrence Relations
TEXT BOOKS :
1. Discrete Mathematical Structures with Applications to Computer Science, Tremblay, Manohar, TMH
2. Discrete Mathematics for Computer Scientists & Mathematicians, 2/e, Mott, Kandel, Baker, PHI
3. Discrete Mathematics, Swapan Kumar chakrborthy, Bikash kanti sarkar, OXFORD
4. Discrete Mathematics and its Applications with combinatorics and graph theory, 7th ed, Rosen, TMH
5. Discrete Mathematics, Theory and Applications, Malik sen, Cengage
6. Discrete mathematics and Graph theory, 3rd ed, Biswal, PHI
REFERENCE BOOKS:
1. Discrete Mathematics, Proofs, Structures and applications, 3rd ed, CRC Press
2. Discrete Mathematics, S.Santha, Cengage
3. Discrete Mathematics with Applications, Thomas Koshy, Elsevier
4. Discrete Mathematics,2/e, JK Sharma ,Macmillan
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DIGITAL LOGIC DESIGN
UNIT I: Number Systems
Binary, Octal, Decimal, Hexadecimal Number Systems. Conversion of Numbers From One Radix To
Another Radix, r's Complement and (r-1)'s Complement Subtraction of Unsigned Numbers, Problems,
Signed Binary Numbers, Weighted and Non weighted codes
UNIT II:Logic Gates And Boolean Algebra
Basic Gates NOT, AND, OR, Boolean Theorms,Complement And Dual of Logical Expressions, Universal
Gates, Ex-Or and Ex-Nor Gates, SOP,POS, Minimizations of Logic Functions Using Boolean Theorems,
Two level Realization of Logic Functions Using Universal Gates
Gate Level Minimization: Karnaugh Map Method (K-Map): Minimization of Boolean Functions maximum
upto Four Variables, POS and SOP, Simplifications With Don't Care Conditions Using K-Map.
UNIT III: Combinational Logic Circuits
Design of Half Adder, Full Adder, Half Subtractor, Full Subtractor, Ripple Adders and Subtractors, Ripple
Adder/Subtractor Using Ones and Twos Complement Method. Design of Decoders, Encoders, Multiplexers,
Demultiplexers, Higher Order Demultiplexers and Multiplexers, Priority Encoder, Code Converters,
Magnitude Comparator.
UNIT IV: Introduction to Sequential Logic Circuits
Classification of Sequential Circuits, Basic Sequential Logic Circuits: Latch and Flip-Flop, RS- Latch Using
NAND and NOR Gates, Truth Tables. RS,JK,T and D Flip Flops , Truth and Excitation Tables, Conversion
of Flip Flops. Flip Flops With Asynchronous Inputs (Preset and Clear).
UNIT V: Registers and Counters
Design of Registers, Buffer Register, Control Buffer Registers, Bidirectional Shift Registers, Universal Shift
Register, Design of Ripple Counters, Synchronous Counters and Variable Modulus Counters, Ring Counter,
Johnson Counter.
UNIT VI: Introduction to Programmable Logic Devices (PLOs)
PLA, PAL, PROM. Realization of Switching Functions Using PROM, PAL and PLA. Comparison of PLA,
PAL and PROM.
TEXT BOOKS :
1. Digital Design ,4/e, M.Morris Mano, Michael D Ciletti, PEA
2. Fundamentals of Logic Design, 5/e, Roth, Cengage
REFERENCE BOOKS
1. Switching and Finite Automata Theory,3/e,Kohavi, Jha, Cambridge.
2. Digital Logic Design, Leach, Malvino, Saha,TMH
3.Modern Digital Electronics, R.P. Jain, TMH
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DATA STRUCTURES
Objectives: Comprehensive knowledge of data structures and ability to implement the same in
software applications
UNIT I:
Objective: exposure to algorithmic complexities, recursive algorithms, searching and sorting
techniques
Preliminaries of algorithm, Algorithm analysis and complexity,
Data structure- Definition, types of data structures
Recursion: Definition, Design Methodology and Implementation of recursive algorithms, Linear and binary
recursion, recursive algorithms for factorial function, GCD computation, Fibonacci sequence, Towers of
Hanoi, Tail recursion
List Searches using Linear Search, Binary Search, Fibonacci Search
Sorting Techniques: Basic concepts, Sorting by : insertion (Insertion sort), selection (heap sort), exchange
(bubble sort, quick sort), distribution (radix sort ) and merging (merge sort ) Algorithms.
UNIT II:
Objectives: Applying stack and queue techniques for logical operations
Stacks and Queues: Basic Stack Operations, Representation of a Stack using Arrays, Stack Applications:
Reversing list, Factorial Calculation, Infix to postfix Transformation, Evaluating Arithmetic Expressions.
Queues: Basic Queues Operations, Representation of a Queue using array, Implementation of Queue
Operations using Stack, Applications of Queues-Round robin Algorithm, Circular Queues, Priority
Queues.
UNIT III:
Objectives: Exposure to list representation models in various types of applications
Linked Lists: Introduction, single linked list, representation of a linked list in memory, Operations on a
single linked list, Reversing a single linked list, applications of single linked list to represent polynomial
expressions and sparse matrix manipulation, Advantages and disadvantages of single linked list, Circular
linked list, Double linked list
UNIT IV:
Objectives: Implementation of tree implementation in various forms
Trees: Basic tree concepts, Binary Trees: Properties, Representation of Binary Trees using arrays and linked
lists, operations on a Binary tree , Binary Tree Traversals (recursive), Creation of binary tree from in, pre
and post order traversals
UNIT-V:
Objectives: Advanced understanding of other variants of trees and their operations
Advanced concepts of Trees: Tree Travels using stack (non recursive), Threaded Binary Trees. Binary
search tree, Basic concepts, BST operations: insertion, deletion, Balanced binary trees ? need, basics and
applications in computer science (No operations)
UNIT VI:
Objectives: orientation on graphs, representation of graphs, graph traversals, spanning trees
Graphs: Basic concepts, Representations of Graphs: using Linked list and adjacency matrix, Graph
algorithms
Graph Traversals (BFS & DFS), applications: Dijkstra's shortest path, Transitive closure, Minimum
Spanning Tree using Prim's Algorithm, warshall's Algorithm( Algorithemic Concepts Only, No
Programs required).
TEXT BOOKS:
1. Data Structure with C, Seymour Lipschutz, TMH
2. Data Structures using C,Reema Thareja, Oxford
3. Data Structures, 2/e, Richard F, Gilberg , Forouzan, Cengage
4. Data structures and algorithm analysis in C, 2nd ed, mark allen weiss
REFERENCE BOOKS:
1. Data Structures and Algorithms, 2008,G.A.V.Pai, TMH
2. Classic Data Structures, 2/e, Debasis ,Samanta,PHI,2009
3. Fundamentals of Data Structure in C, 2/e, Horowitz,Sahni, Anderson Freed,University Prees
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OBJECT-ORIENTED PROGRAMMING LAB
1. Write a C++ program illustrating Variable Scope.
2. Write a C++ program illustrating Swap integer values by reference.
3. Write a C++ program illustrating Checking whether the number is even or odd using Ternary operator.
4. Write a C++ program illustrating a program to find the roots of a quadratic equation .Use switch
statements to handle different values of the discriminant (b^2-4*a*c).
5. Write a C++ program illustrating interactive program to multiply 2 variables after checking the
compatibility.
6. Write a C++ program illustrating interactive program for computing the roots of a quadratic
equation by handling all possible cases. Use streams to perform I/O operations.
7. Write a C++ program illustrating to sort integer numbers.
8. Write a C++ program illustrating factorial using recursion.
9. Write a C++ program illustrating pass by value, pass by reference, pass by address.
10. Write a C++ program illustrating Function overloading.
11. Write a C++ program illustrating an interactive program for swapping integer, real, and character type
variables without using function overloading .Write the same program by using function overloading
features and compare the same with its C counterpart.
12. Write a C++ program illustrating inline functions.
13. Write a C++ program illustrating Friend function.
14. Write a C++ program illustrating Exception handling.
15. Write a C++ program illustrating Function template.
16. Write a C++ program illustrating Overloading increment, decrement, binary+&<< operator.
17. Write a C++ program illustrating Virtual function.
18. Write a C++ program illustrating an interactive program to process complex numbers .It has to Perform
addition, subtraction, multiplication, and division of complex numbers. print results in x+iy form. Create a
class for the complex number representation.
19. Write a C++ program illustrating user defined string processing functions using pointers (string length,
string copy, string concatenation)
20. Write a C++ program illustrating Constructor overloading (Both parameterised and default).
21. Write a C++ program illustrating Copy constructor.
22. Write a C++ program illustrating access data members & member functions using `THIS' pointer.
23. Write a C++ program illustrating for overloading ++ operator to increment data.
24. Write a C++ program illustrating overloading of new and delete operator.
25. Write a C++ program illustrating Abstract classes.
26. Write a C++ program illustrating Inheritance (Multiple, Multilevel, Hybrid).
27. Write a C++ program illustrating Virtual classes & virtual functions.
28. Write a C++ program illustrating overloading function template.
29. Write a C++ program illustrating Class template.
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DATA STRUCTURES LAB
Exercise 1:
Write recursive program which computes the nth Fibonacci number, for appropriate values of n.
Analyze behavior of the program Obtain the frequency count of the statement for various values of n.
Exercise 2:
Write recursive program for the following
a) Write recursive and non recursive C program for calculation of Factorial of an integer
b) Write recursive and non recursive C program for calculation of GCD (n, m)
c) Write recursive and non recursive C program for Towers of Hanoi : N disks are to be transferred from
peg S to peg D with Peg I as the intermediate peg.
Exercise 3:
a) Write C program that use both recursive and non recursive functions to perform Linear search for a Key
value in a given list.
b) Write C program that use both recursive and non recursive functions to perform Binary search for a Key
value in a given list.
c) Write C program that use both recursive and non recursive functions to perform Fibonacci search for a
Key value in a given list.
Exercise 4:
a) Write C program that implement Bubble sort, to sort a given list of integers in ascending order
b) Write C program that implement Quick sort, to sort a given list of integers in ascending order
c) Write C program that implement Insertion sort,to sort a given list of integers in ascending order
Exercise 5:
a) Write C program that implement heap sort, to sort a given list of integers in ascending order
b) Write C program that implement radix sort, to sort a given list of integers in ascending order
c) Write C program that implement merge sort, to sort a given list of integers in ascending order
Exercise 6:
a) Write C program that implement stack (its operations) using arrays
b) Write C program that implement stack (its operations) using Linked list
Exercise 7:
a) Write a C program that uses Stack operations to Convert infix expression into postfix expression
a) Write C program that implement Queue (its operations) using arrays.
b) Write C program that implement Queue (its operations) using linked lists
Exercise 8:
a) Write a C program that uses functions to create a singly linked list
b) Write a C program that uses functions to perform insertion operation on a singly linked list
c) Write a C program that uses functions to perform deletion operation on a singly linked list
Exercise 9:
a) Adding two large integers which are represented in linked list fashion.
b) Write a C program to reverse elements of a single linked list.
c) Write a C program to store a polynomial expression in memory using linked list
d) Write a C program to representation the given Sparse matrix using arrays.
e) Write a C program to representation the given Sparse matrix using linked list
Exercise10:
a) Write a C program to Create a Binary Tree of integers
b) Write a recursive C program for Traversing a binary tree in preorder, inorder and postorder.
c) Write a non recursive C program for Traversing a binary tree in preorder, inorder and postorder.
d) Program to check balance property of a tree.
Exercise 11:
a) Write a C program to Create a BST
b) Write a C program to insert a node into a BST.
c) Write a C program to delete a node from a BST.
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DIGITAL LOGIC DESIGN LAB
List of Experiments:
1) Verification of Basic Logic Gates.
2) Implementing all individual gates with Universal Gates NAND & NOR.
3) Design a circuit for the given Canonical form, draw the circuit diagram and verify the De-Morgan
laws.
4) Design a Combinational Logic circuit for 4x1 MUX and verify the truth table.
5) Design a Combinational Logic circuit for 1x4 De- MUX and verify the truth table.
6) Verify the data read and data write operations for the IC 74189.
7) Design a Gray code encoder and interface it to SRAM IC 74189 for write operation display on 7-
segment.
8) Design a Gray code De-coder and interface it to SRAM IC 74189 for read operation display it on 7-
segment.
9) Construct Half Adder and Full Adder using Half Adder and verify the truth table.
10) Verification of truth tables of the basic Flip- Flops with Synchronous and Asynchronous modes.
11) Implementation of Master Slave Flip-Flop with J-K Flip- Flop and verify the truth table for race
around condition.
12) Design a Decade Counter and verify the truth table.
13) Design the Mod 6 counter using D-Flip -Flop.
14) Construct 4-bit ring counter with T-Flip ?Flop and verify the truth table.
15) Design a 8 ? bit right Shift Register using D-Flip -Flop and verify the truth table.
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1
Seminar
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3
PROBABILITY AND STATISTICS
(Common to CE, CSE, IT, Chemical, PE, PCE,
Civil Branches)
UNIT I Random variables and Distributions:
Introduction- Random variables- Distribution function- Discrete distributions ( Review of Binomial and Poisson
distributions)-
Continuous distributions: Normal, Normal approximation to Binomial distribution, Gamma and Weibull distributions
Subject Category
ABET Learning Objectives a b e k
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT II Moments and Generating functions:
Introduction-Mathematical expectation and properties - Moment generating function - Moments of standard
distributions ( Binomial, Poisson and Normal distributions) ? Properties
Subject Category
ABET Learning Objectives a e
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT III Sampling Theory:
Introduction - Population and samples- Sampling distribution of mean for large and small samples (with known and
unknown variance) - Proportion sums and differences of means -Sampling distribution of variance -Point and interval
estimators for means and proportions
Subject Category
ABET Learning Objectives a e k
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E
UNIT IV Tests of Hypothesis:
Introduction - Type I and Type II errors - Maximum error - One tail, two-tail tests- Tests concerning one mean and
proportion, two means- Proportions and their differences using Z-test, Student's t-test - F-test and Chi -square test -
ANOVA for one-way and two-way classified data
Subject Category
ABET Learning Objectives a b d e h k
ABET internal assessments 1 2 6 7 10
JNTUK External Evaluation A B D E F
UNIT V Curve fitting and Correlation:
Introduction - Fitting a straight line ?Second degree curve-exponential curve-power curve by method of least squares.
Simple Correlation and Regression - Rank correlation - Multiple regression
Subject Category
ABET Learning Objectives a d e h k
ABET internal assessments 1 2 6 10
JNTUK External Evaluation A B E
UNIT VI Statistical Quality Control Methods:
Introduction - Methods for preparing control charts ? Problems using x-bar, p, R charts and attribute charts
Subject Category
ABET Learning Objectives a e k
ABET internal assessments 1 2 6
JNTUK External Evaluation A B E F
Books:
1. Probability and Statistics for Engineers: Miller and John E. Freund, Prentice Hall of India
2. Probability and Statistics for Engineers and Scientists: Ronald E. Walpole, Sharon L. Mayers and Keying Ye:
Pearson
3. Probability, Statistics and Random Processes, Murugesan, Anuradha Publishers, Chenai:
Subject
ABET Learning
ABET Internal
JNTUK External
Remarks
Category
Objectives
Assessments
Evaluation
a) Apply knowledge of math,
science, & engineering
b) Design & conduct experiments,
analyze & interpret data
c) Design a system/process to meet
A. Questions should have:
desired needs within economic,
B. Definitions, Principle of
1. Objective tests
social, political, ethical,
operation or philosophy
2. Essay questions tests
health/safety, manufacturability,
of concept.
3. Peer tutoring based
& sustainability constraints
C. Mathematical
4. Simulation based
Theory
d) Function on multidisciplinary
treatment, derivations,
5. Design oriented
Design
teams
analysis, synthesis,
6. Problem based
Analysis
e) Identify, formulate, & solve
numerical problems
7. Experiential (project
Algorithms
engineering problems
with inference.
based) based
Drawing
f) Understand professional &
D. Design oriented
8. Lab work or field work
Others
ethical responsibilities
problems
based
g) Communicate effectively
E. Trouble shooting type
9. Presentation based
h) Understand impact of
of questions
10. Case Studies based
engineering solutions in global,
F. Applications related
11. Role-play based
economic, environmental, &
questions
12. Portfolio based
societal context
G. Brain storming
i) Recognize need for & be able to
questions
engage in lifelong learning
j) Know contemporary issues
k) Use techniques, skills, modern
tools for engineering practices
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JAVA PROGRAMMING
Objective: Implementing programs for user interface and application development using core java
principles
UNIT I:
Objective: Focus on object oriented concepts and java program structure and its installation
Introduction to OOP
Introduction, Need of Object Oriented Programming, Principles of Object Oriented Languages, Procedural
languages Vs OOP, Applications of OOP, History of JAVA, Java Virtual Machine, Java Features, Program
structures, Installation of JDK1.6
UNIT II:
Objective: Comprehension of java programming constructs, control structures in Java
Programming Constructs
Variables , Primitive Datatypes, Identifiers- Naming Coventions, Keywords, Literals, Operators-
Binary,Unary and ternary, Expressions, Precedence rules and Associativity, Primitive TypeConversion and
Casting, Flow of control-Branching,Conditional, loops.,
Classes and Objects- classes, Objects, Creating Objects, Methods, constructors-Constructor overloading,
cleaning up unused objects-Garbage collector, Class variable and Methods-Static keyword, this keyword,
Arrays, Command line arguments
UNIT III:
Objective: Implementing Object oriented constructs such as various class hierarchies, interfaces and
exception handling
Inheritance: Types of Inheritance, Deriving classes using extends keyword, Method overloading, super
keyword, final keyword, Abstract class
Interfaces, Packages and Enumeration: Interface-Extending interface, Interface Vs Abstract classes,
Packages-Creating packages , using Packages, Access protection, java.lang package
Exceptions & Assertions - Introduction, Exception handling techniques-try...catch, throw, throws, finally
block, user defined exception, Exception Encapsulation and Enrichment, Assertions
UNIT IV:
Objective: Understanding of Thread concepts and I/O in Java
MultiThreading : java.lang.Thread, The main Thread, Creation of new threads, Thread priority,
Multithreading- Using isAlive() and join(), Syncronization, suspending and Resuming threads,
Communication between Threads
Input/Output: reading and writing data, java.io package
UNIT V:
Objective: Being able to build dynamic user interfaces using applets and Event handling in java
Applets- Applet class, Applet structure, An Example Applet Program, Applet Life Cycle, paint(),update()
and repaint()
Event Handling -Introduction, Event Delegation Model, java.awt.event Description,Sources of Events,
Event Listeners, Adapter classes, Inner classes
UNIT VI:
Objective: Understanding of various components of Java AWT and Swing and writing code snippets
using them
Abstract Window Toolkit
Why AWT?, java.awt package, Components and Containers, Button, Label, Checkbox, Radio buttons, List
boxes, Choice boxes, Text field and Text area, container classes, Layouts, Menu, Scroll bar
Swing:
Introduction , JFrame, JApplet, JPanel, Components in swings, Layout Managers, JList and JScroll Pane,
Split Pane, JTabbedPane, Dialog Box
Pluggable Look and Feel
TEXT BOOKS:
1. The Complete Refernce Java, 8ed, Herbert Schildt, TMH
2. Programming in JAVA, Sachin Malhotra, Saurabh choudhary, Oxford.
3. JAVA for Beginners, 4e, Joyce Farrell, Ankit R. Bhavsar, Cengage Learning.
4. Object oriented programming with JAVA, Essentials and Applications, Raj Kumar Bhuyya, Selvi, Chu
TMH
5. Introduction to Java rogramming, 7th ed, Y Daniel Liang, Pearson
REFERENCE BOOKS:
1. JAVA Programming, K.Rajkumar.Pearson
2. Core JAVA, Black Book, Nageswara Rao, Wiley, Dream Tech
3. Core JAVA for Beginners, Rashmi Kanta Das, Vikas.
4. Object Oriented Programming Through Java, P. Radha Krishna, Universities Press.
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ADVANCED DATA STRUCTURES
(Note: C++ and Java implementation is not included in the syllabus)
Objectives: Exposed to hashing approaches, variants of trees , heaps, queues, implementation of
graph algorithms, analysis of sorting algorithms with respect to bounds and file organizations and
operations
UNIT I :
Objectives: Comprehensive understanding of dictionaries, hashing mechanism which supports faster
retrieval and skip lists
Dictionaries : Sets, Dictionaries, Hash Tables, Open Hashing, Closed Hashing (Rehashing Methods),
Hashing Functions( Division Method, Multiplication Method, Universal Hashing), Skip Lists, Analysis of
Skip Lists. (Reference 1)
UNIT II :
Objectives: Illustartion of Balanced trees and their operations
AVL Trees: Maximum Height of AVL Tree, Insertions and Deletions. 2-3 Trees : Insertion, Deletion.
UNIT III :
Objectives: Comprehension of heaps, queues and their operations
Priority Queues :
Binary Heaps : Implementation of Insert and Delete min, Creating Heap.
Binomial Queues : Binomial Queue Operations, Binomial Amortized Analysis, Lazy Binomial Queues
UNIT IV :
Objectives: Detailed knowledge of nonlinear data structures and various algorithms using them
Graph algorithms : Minimum-Cost Spanning Trees- Prim's Algorithm, Kruskal's Algorithm Shortest Path
Algorithms: Dijkstra's Algorithm, All Pairs Shortest Paths Problem: Floyd's Algorithm, Warshall's
Algorithm,
UNIT V :
Objectives: Analysis of complexities in various sorting techniques along with their lower bounds
Sorting Methods : Order Statistics: Lower Bound on Complexity for Sorting Methods: Lower Bound on
Worst Case Complexity, Lower Bound on Average Case Complexity, Heap Sort, Quick Sort, Radix Sorting,
Merge Sort.
UNIT VI :
Objectives: Illustration of tries which share some properties of table look up, various issues related to
the design of file structures
Pattern matching and Tries : Pattern matching algorithms- the Boyer ?Moore algorithm, the Knuth-
Morris-Pratt algorithm
Tries: Definitions and concepts of digital search tree, Binary trie, Patricia , Multi-way trie
File Structures: Fundamental File Processing Operations-opening files, closing files, Reading and Writing
file contents, Special characters in files.
Fundamental File Structure Concepts- Field and record organization, Managing fixed-length, fixed-field
buffers.
( Reference 5)
Text Books :
1. Data Structures, A Pseudocode Approach, Richard F Gilberg, Behrouz A Forouzan, Cengage.
2. Fundamentals of DATA STRUCTURES in C: 2nd ed, , Horowitz , Sahani, Anderson-freed,
Universities Press
3. Data structures and Algorithm Analysis in C, 2nd edition, Mark Allen Weiss, Pearson
Reference Books:
1. Web : http://lcm.csa.iisc.ernet.in/dsa/dsa.html
2. http://utubersity.com/?page_id=878
3. http://freevideolectures.com/Course/2519/C-Programming-and-Data-Structures
4. http://freevideolectures.com/Course/2279/Data-Structures-And-Algorithms
5. File Structures :An Object oriented approach with C++, 3rd ed, Michel J Folk, Greg Riccardi, Bill
Zoellick
6. C and Data Structures: A Snap Shot oriented Treatise with Live examples from Science and
Engineering, NB Venkateswarlu & EV Prasad, S Chand, 2010.
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COMPUTER ORGANIZATION
Objectives: Comprehensive knowledge of computer system including the analysis and design of
components of the system
UNIT I :
Objectives: Gives a view of computer system from user's perspective, representation of data
BASIC STRUCTURE OF COMPUTERS : Computer Types, Functional unit, Basic Operational concepts,
Bus structures,
Data Representation: Data types, Complements, Fixed Point Representation. Floating ? Point
Representation. Other Binary Codes, Error Detection codes.
UNIT II :
Objectives: Understanding RTL, Micro operations, ALU, Organization of stored program computer,
types of instructions and design of basic components of the system
REGISTER TRANSFER LANGUAGE AND MICROOPERATIONS: Register Transfer language.
Register Transfer Bus and memory transfers, Arithmetic Micro operations, logic micro operations, shift
micro operations, Arithmetic logic shift unit.
BASIC COMPUTER ORGANIZATION AND DESIGN : Instruction codes, Computer Register
Computer instructions, Timing and control, Instruction cycle, Memory ? Reference Instructions. Input ?
Output and Interrupt, Design of basic computer, Design of Accumulator Logic.
UNIT III :
Objectives: Illustration of data paths and control flow for sequencing in CPUs, Microprogramming of
control unit of CPU
CENTRAL PROCESSING UNIT : General Register Organization, STACK organization. Instruction
formats. Addressing modes. DATA Transfer and manipulation. Program control. Reduced Instruction set
computer.
MICRO PROGRAMMED CONTROL : Control memory, Address sequencing, micro program example,
design of control unit
UNIT IV :
Objectives: Illustration of algorithms for basic arithmetic operations using binary and decimal
representation
COMPUTER ARITHMETIC : Addition and subtraction, multiplication Algorithms, Division Algorithms,
Floating ? point Arithmetic operations. Decimal Arithmetic unit, Decimal Arithmetic operations.
UNIT V :
Objectives: Description of different parameters of a memory system, organization and mapping of
various types of memories
THE MEMORY SYSTEM : Memory Hierarchy, Main memory, Auxiliary memory, Associative Memory,
Cache Memory, Virtual Memory.
UNIT-VI
Objectives: Describes the means of interaction devices with CPU, their characteristics, modes and
introduction multiprocessors.
INPUT-OUTPUT ORGANIZATION : Peripheral Devices, Input-Output Interface, Asynchronous data
transfer, Modes of Transfer, Priority Interrupts, Direct memory Access.
MULTI PROCESSORS : Introduction, Characteristics or Multiprocessors, Interconnection Structures,
Inter processor Arbitration.
TEXT BOOKS :
1. Computer System Architecture, M.Moris Mano, 3rd Edition, Pearson/PHI
2. Computer Organization , Carl Hamacher, Zvonks Vranesic, SafeaZaky, 5th Edition, McGraw Hill.
3. Computer Architecture a quantitative approach, John L. Hennessy and David A. Patterson, Fourth
Edition Elsevier
REFERENCES :
1. Computer Organization and Architecture ? William Stallings Sixth Edition, Pearson/PHI
2. Structured Computer Organization ? Andrew S. Tanenbaum, 4th Edition PHI/Pearson
3. Fundamentals or Computer Organization and Design, - Sivaraama Dandamudi Springer Int. Edition.
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FORMAL LANGUAGES & AUTOMATA THEORY
Objectives: Understanding of programming language construct, how input is converted into output
from the machine hardware level
UNIT I:
Objectives: Analysis of Finite state machine, its representation and automata
Fundamentals of Automata- Computation, Finite State Machine, Components of Finite State Automata,
Elements of Finite State System ,Mathematical representation of Finite State Machine, Automata
Classification, Automata in Real World
UNIT II:
Objectives: Delineation of various components of formal languages and grammars.
Formal Language Theory- Symbols, Alphabets and Strings, Operations on Strings, Formal Languages,
Operations on Languages,
Formal Languages/ Grammar Hierarchy: Formal Languages, Regular Language, Context-Free
Language, Context-Sensitive Language, Recursive Language, Recursively Enumerable Language, Other
Forms of Formal Languages, Relationship between Grammars and Languages
UNIT III:
Objectives: Description of finite automata, variants in it and their equivalence
Finite Automata: Introduction, Deterministic Finite Automata(DFA), Design of DFAs, Non Deterministic
Finite Automata(NFA), Non-Deterministic Automata with -moves , Design of NFA- s, Advantages of
Non-Deterministic Finite Automata, NFA Versus DFA
Equivalent Automata: Equivalent Finite-State Automata, Equivalence of NFA/NFA- and DFA,
Equivalence of NFA, with moves to NFA, without - moves.
UNIT IV:
Objectives: Minimization, optimization of finite automata, regular expressions and equivalence of
finite automata and regular expressions.
Minimization/ Optimization of DFA: Optimum DFA, Minimal DFA, Two way DFA, DFA Vs 2DFA
Regular Expressions and Languages:Regular languages, Regular expressions, Components of Regular
Expression, Properties of Regular Expressions, Uses of Regular Expressions.
Finite Automata and Regular Expressions:Properties of Regular Sets and Regular Languages, Arden's
Theorem, Equivalence of Finite Automata and Regular Expressions, Equivalence of DFA and Regular
Expression, Equivalence of NFA and Regular Expression
UNIT V:
Objectives: Illustration about grammars, classification and simplification of grammaers
Transducers: Moore Machine, Mealy Machine, Difference between Moore and Mealy Machines,
Properties / Equivalence of Moore and Mealy Machines.
Context-Free Grammars and Context-Free Languages: Types of Grammar, Ambiguous and
Unambiguous Grammars, Noam Chomsky's Classification of Grammar and Finite Automata, Relation
between Regular Grammar and Finite Automata.
Simplification of Context ? Free Grammar: Simplification of Context-Free Grammars, Elimination of -
Productions, Elimination of Unit Productions, Normal Forms for Context Free Grammars, Chomsky Normal
Form, Greibach Normal Form, Chomsky Vs. Greibach Normal Form, Application of Context- Free
Grammars
UNIT VI:
Objectives: Delineation of turing machines
Turing Machine: Introduction, Components of Turing Machine, Description of Turing Machine, Elements
of TM, Moves of a TM, Language accepted by a TM, Role of TM's , Design of TM's
TM Extensions and Languages: TM Languages, Undecidable Problem, P and NP Classes of Languages
Text Books:
1. A Text Book on Automata Theory, Nasir S.F.B, P.K. Srimani, Cambridge university Press
2. Introduction to Automata Theory, Formal languages and computation, Shamalendu kandar, Pearson
3. Elements of Theory of Compuation, Harry R Lewis, Papdimitriou, PHI
4. Introduction to theory of computation, 2nd ed, Michel sipser, CENGAGE
Reference Books:
1. Formal Languages and automata theory, C.K. Nagpal, OXFORD
2. Theory of Computation , aproblem solving approach, kavi Mahesh, Wiley
3. Automata, computability and complexity, Theory and applications, Elaine rich, PEARSON
4. Theory of Computation, Vivek kulkarni, OXFORD
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ADVANCED DATA STRUCTURES LAB
1. To implement functions of Dictionary using Hashing ( division method, Multiplication
method, Universal hashing)
2. To perform various operations i.e, insertions and deletions on AVL trees
3. To perform various operations i.e., insertions and deletions on 2-3 trees.
4. To implement operations on binary heap.
5. To implement operations on graphs
i) vertex insertion
ii) Vertex deletion
iii) finding vertex
iv)Edge addition and deletion
6. To implement Depth First Search for a graph non recursively.
7. To implement Breadth First Search for a graph non recursively.
8. To implement Prim's algorithm to generate a min-cost spanning tree.
9. To implement Krushkal's algorithm to generate a min-cost spanning tree.
10. To implement Dijkstra's algorithm to find shortest path in the graph.
11. To implement pattern matching using Boyer-Moore algorithm.
12. To implement Knuth-Morris-Pratt algorithm for pattern matching.
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JAVA PROGRAMMING LAB
1. Write a JAVA program to display default value of all primitive data types of JAVA
2. Write a JAVA program that displays the roots of a quadratic equation ax2+bx+c=0. Calculate the
discriminent D and basing on the value of D, describe the nature of roots.
3. Write a JAVA program to display the Fibonacci sequence
4. Write a JAVA program give example for command line arguments.
5. Write a JAVA program to sort given list of numbers.
6. Write a JAVA program to search for an element in a given list of elements (linear search).
7. Write a JAVA program to search for an element in a given list of elements using binary search
mechanism.
8. Write a JAVA program to determine the addition of two matrices.
9. Write a JAVA program to determine multiplication of two matrices.
10. Write a JAVA program to sort an array of strings
11. Write a JAVA program to check whether given string is palindrome or not.
12. Write a JAVA program for the following
-
1. Example for call by value.
2. Example for call by reference.
13. Write a JAVA program to give the example for `this' operator. And also use the`this' keyword as
return statement.
14. Write a JAVA program to demonstrate static variables, methods, and blocks.
15. Write a JAVA program to give the example for `super' keyword.
16. Write a JAVA program that illustrates simple inheritance.
17. Write a JAVA program that illustrates multi-level inheritance
18. Write a JAVA program demonstrating the difference between method overloading and method
overriding.
19. Write a JAVA program demonstrating the difference between method overloading and constructor
overloading.
20. Write a JAVA program that describes exception handling mechanism.
21. Write a JAVA program for example of try and catch block. In this check whether the given array size
is negative or not.
22. Write a JAVA program to illustrate sub class exception precedence over base class.
23. Write a JAVA program for creation of user defined exception.
24. Write a JAVA program to illustrate creation of threads using runnable class.(start method start each
of the newly created thread. Inside the run method there is sleep() for suspend the thread for 500
milliseconds).
25. Write a JAVA program to create a class MyThread in this class a constructor, call the base class
constructor, using super and starts the thread. The run method of the class starts after this. It can be
observed that both main thread and created child thread are executed concurrently
26. Write a JAVA program illustrating multiple inheritance using interfaces.
27. Write a JAVA program to create a package named pl, and implement this package in ex1 class.
28. Write a JAVA program to create a package named mypack and import it in circle class.
29. Write a JAVA program to give a simple example for abstract class.
30. Write a JAVA program that describes the life cycle of an applet.
-
Write a JAVA program to create a dialogbox and menu.
-
Write a JAVA program to create a grid layout control.
31. Write a JAVA program to create a border layout control.
32. Write a JAVA program to create a padding layout control.
33. Write a JAVA program to create a simple calculator.
34. Write a JAVA program that displays the x and y position of the cursor movement using Mouse.
35. Write a JAVA program that displays number of characters, lines and words in a text file.
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FREE OPEN SOURCE SOFTWARE (FOSS) LAB
Objectives:
? To teach students various unix utilities and shell scripting
Programs:
1.
Session-1
a)Log into the system
b)Use vi editor to create a file called myfile.txt which contains some text.
c)correct typing errors during creation.
d)Save the file
e)logout of the system
Session-2
a)Log into the system
b)open the file created in session 1
c)Add some text
d)Change some text
e)Delete some text
f)Save the Changes
g)Logout of the system
2.
a)Log into the system
b)Use the cat command to create a file containing the following data. Call it mytable use tabs to separate the
fields.
1425
Ravi
15.65
4320
Ramu
26.27
6830
Sita
36.15
1450
Raju
21.86
c)Use the cat command to display the file, mytable.
d)Use the vi command to correct any errors in the file, mytable.
e)Use the sort command to sort the file mytable according to the first field. Call the sorted file my table
(same name)
f)Print the file mytable
g)Use the cut and paste commands to swap fields 2 and 3 of mytable. Call it my table (same name)
h)Print the new file, mytable
i)Logout of the system.
3.
1)
a)Login to the system
b)Use the appropriate command to determine your login shell
c)Use the /etc/passwd file to verify the result of step b.
d)Use the who command and redirect the result to a file called myfile1. Use the more command to
see the contents of myfile1.
e)Use the date and who commands in sequence (in one line) such that the output of date will display
on the screen and the output of who will be redirected to a file called myfile2. Use the more
command to check the contents of myfile2.
2)
a)Write a sed command that deletes the first character in each line in a
file.
b)Write a sed command that deletes the character before the last character in each line in a file.
c)Write a sed command that swaps the first and second words in each line in a file.
4. a)Pipe your /etc/passwd file to awk, and print out the home directory of each user.
b)Develop an interactive grep script that asks for a word and a file name and then tells how many lines
contain that word.
c)Repeat
d)Part using awk
5. a)Write a shell script that takes a command ?line argument and reports on whether it is directory, a file,
or something else.
b)Write a shell script that accepts one or more file name as arguments and converts all of them to uppercase,
provided they exist in the current directory.
c)Write a shell script that determines the period for which a specified user is working on the system.
6. a)Write a shell script that accepts a file name starting and ending line numbers as arguments and displays
all the lines between the given line numbers.
b)Write a shell script that deletes all lines containing a specified word in one or more files supplied as
arguments to it.
7. a)Write a shell script that computes the gross salary of a employee according to the following rules:
i)If basic salary is < 1500 then HRA =10% of the basic and DA =90% of the basic.
ii)If basic salary is >=1500 then HRA =Rs500 and DA=98% of the basic
The basic salary is entered interactively through the key board.
b)Write a shell script that accepts two integers as its arguments and computers the value of first number
raised to the power of the second number.
8. a)Write an interactive file-handling shell program. Let it offer the user the choice of copying, removing,
renaming, or linking files. Once the user has made a choice, have the program ask the user for the necessary
information, such as the file name, new name and so on.
b)Write shell script that takes a login name as command ? line argument and reports when that person logs
in
c)Write a shell script which receives two file names as arguments. It should check whether the two file
contents are same or not. If they are same then second file should be deleted.
9. a)Write a shell script that displays a list of all the files in the current directory to which the user has read,
write and execute permissions.
b)Develop an interactive script that ask for a word and a file name and then tells how many times that word
occurred in the file.
c)Write a shell script to perform the following string operations:
i)To extract a sub-string from a given string.
ii)To find the length of a given string.
10 .Write a C program that takes one or more file or directory names as command line input and reports the
following information on the file:
i)File type
ii)Number of links
iii)Read, write and execute permissions
iv)Time of last access
(Note : Use stat/fstat system calls)
11. Write C programs that simulate the following unix commands:
a)mv
b)cp
(Use system calls)
12. Write a C program that simulates ls Command
(Use system calls / directory API)
13. Do the following Shell programs also
1) Write a shell script to check whether a particular user has logged in or not. If he has logged in, also
check whether he has eligibility to receive a message or not
2) Write a shell script to accept the name of the file from standard input and perform the following tests
on it
a) File executable
b) File readable
c) File writable d) Both readable & writable
3) Write a shell script which will display the username and terminal name who login recently in to the
unix system
4) Write a shell script to find no. of files in a directory
5) Write a shell script to check whether a given number is perfect or not
6) Write a menu driven shell script to copy, edit, rename and delete a file
7) Write a shell script for concatenation of two strings
3) Write a shell script which will display Fibonacci series up to a given number of argument
9) Write a shell script to accept student number, name, marks in 5 subjects. Find total, average and
grade. Display the result of student and store in a file called stu.dat
Rules: avg>=80 then grade A
Avg<80&&Avg>=70 then grade B
Avg<70&&Avg>=60 then grade C
Avg<60&&Avg>=50 then grade D
Avg<50&&Avg>=40 then grade E
Else grade F
10) Write a shell script to accept empno,empname,basic. Find DA,HRA,TA,PF using following rules.
Display empno, empname, basic, DA,HRA,PF,TA,GROSS SAL and NETSAL. Also store all details in
a file called emp.dat
Rules: HRA is 18% of basic if basic > 5000 otherwise 550
DA is 35% of basic
PF is 13% of basic
IT is 14% of basic
TA is 10% of basic
11) Write a shell script to demonstrate break and continue statements
12) Write a shell script to satisfy the following menu options
a. Display current directory path
b. Display todays date
c. Display users who are connected to the unix system d. Quit
13) Write a shell script to delete all files whose size is zero bytes from current directory
14) Write a shell script to display string palindrome from given arguments
15) Write a shell script which will display Armstrong numbers from given arguments
16) Write a shell script to display reverse numbers from given argument list
17) Write a shell script to display factorial value from given argument list
18) Write a shell script which will find maximum file size in the given argument list
19) Write a shell script which will greet you "Good Morning", "Good Afternoon", "Good Evening' and
"Good Night" according to current time
20) Write a shell script to sort the elements in a array using bubble sort technique
21) Write a shell script to find largest element in a array
22) Write an awk program to print sum, avg of students marks list
23) Write an awk program to display students pass/fail report
24) Write an awk program to count the no. of vowels in a given file
25) Write an awk program which will find maximum word and its length in the given input File
26) Write a shell script to generate the mathematical tables.
27) Write a shell script to sort elements of given array by using selection sort.
28) Write a shell script to search given number using binary search.
29) Write a shell script to find number of vowels, consonants, numbers, white spaces and special
characters in a given string.
30) Write a shell script to lock the terminal.
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Compiler Design
Course Objectives: To make the student to understand the process involved in a compiler, create an overall view of
various types of translators, linkers, loaders, and phases of a compiler, understand what is syntax analysis, various
types of parsers especially the top down approach, awareness among students the various types of bottom up parsers,
understand the syntax analysis and, intermediate code generation, type checking, the role of symbol table and its
organization, Code generation, machine independent code optimization and instruction scheduling.
Course Outcomes:
1. To introduce the major concept areas of language translation and compiler design
2. To develop an awareness of the function and complexity of compilers.
3. To provide practical, hands on experience in compiler design
4. Identify the similarities and differences among various parsing techniques and grammar transformation techniques
Unit?I:
Overview of language processing ? pre-processors ? compiler ? assembler ? interpreters, pre-processors, ? linkers &
loaders - structure of a compiler ? phases of a compiler (TEXT BOOK 2). Lexical Analysis ? Role of Lexical Analysis
? Lexical Analysis Vs. Parsing ? Token, patterns and Lexemes ? Lexical Errors ? Regular Expressions ? Regular
definitions for the language constructs ? Strings, Sequences, Comments ? Transition diagram for recognition of
tokens, Reserved words and identifiers, Examples.
Unit?II
Syntax Analysis ? discussion on CFG, LMD,RMD, parse trees, Role of a parser ? classification of parsing techniques
? Brute force approach, left recursion, left factoring, Top down parsing ? First and Follow- LL(1) Grammars, Non-
Recursive predictive parsing ? Error recovery in predictive parsing.
Unit?III
What is bottom up parsing approach, Types of Bottom up approaches; Introduction to simple LR ? Why LR Parsers ?
Model of an LR Parsers ? Operator Precedence- Shift Reduce Parsing ? Difference between LR and LL Parsers,
Construction of SLR Tables.
More powerful LR parses, construction of CLR (1), LALR Parsing tables, Dangling ELSE Ambiguity, Error recovery
in LR Parsing. Comparison of all bottoms up approaches with all top down approaches
Unit?IV
Semantic analysis, SDT Schemes, evaluation of semantic rules. Intermediate code, three address code, quadruples,
triples, abstract syntax trees. Types and declarations, type Checking.
Unit?V
Symbol tables: use and need of symbol tables. Runtime Environment: storage organization, stack allocation, access to
non-local data, heap management, parameter passing mechanisms, introduction to garbage collection. Reference
counting garbage collectors.
Code generation: Issues, target language, Basic blocks & flow graphs, Simple code generator, Peephole optimization,
Register allocation and assignment.
Unit?VI
Machine independent code optimization ? semantic preserving transformations, global common sub expression
elimination, copy propagation, dead code elimination, constant folding, strength reduction, loop optimization.
Instruction scheduling, inter procedural optimization.
TEXT BOOKS:
1. Compilers, Principles Techniques and Tools- Alfred V Aho, Monica S Lam, Ravi Sethi, Jeffrey D. Ullman,2nd
ed, Pearson,2007.
2. Compiler Design, K. Muneeswaran, Oxford.
REFERENCE BOOKS:
1. Engineering a compiler, 2nd edition, Keith D.Cooper & Linda Torczon, Morgan Kaufman.
2. http://www.nptel.iitm.ac.in/downloads/106108052/
3. Principles of compiler design, V. Raghavan, 2nd ed, TMH, 2011.
4. Compiler construction, Principles and Practice, Kenneth C Louden, CENGAGE
5. Implementations of Compiler, A new approach to Compilers including the algebraic methods, Yunlinsu,
SPRINGER
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Data Communication
Course Objectives:
1. To have a detailed study of various analog and digital modulation and demodulation techniques
2. To have a thorough knowledge of various multiplexing schemes and Data communication protocols
3. To know about the standards and mechanisms of television systems
Course Outcomes:
1. Knowledge of working of basic communication systems
2. Ability to evaluate alternative models of communication system design
Syllabus:
Unit I:
INTRODUCTION TO DATA COMMUNICATIONS AND NETWORKING: Standards Organizations for Data
Communications, Layered Network Architecture, Open Systems Interconnection, Data Communications Circuits,
Serial and parallel Data Transmission, Data communications Networks, Alternate Protocol Suites.
SIGNALS, NOISE, MODULATION, AND DEMODULATION:Signal Analysis, Electrical Noise and Signal-to-
Noise Ratio, Analog Modulation Systems, Information Capacity, Bits, Bit Rate, Baud, and M-ary Encoding, Digital
Modulation.
Unit II :
METALLIC CABLE TRANSMISSION MEDIA: Metallic Transmission Lines, Transverse Electromagnetic
Waves, Characteristics of Electromagnetic Waves
OPTICAL FIBER TRANSMISSION MEDIA: Advantages of Optical Fiber cables, Disadvantages of Optical
Fiber Cables, Electromagnetic spectrum, Optical Fiber Communications System Block Diagram, Optical Fiber
construction, Propagation of Light Through an Optical fiber Cable, Optical Fiber Modes and Classifications, Optical
Fiber Comparison, Losses in Optical Fiber Cables, Light sources, Light Detectors, Lasers.
Unit III :
DIGITAL TRANSMISSION: Pulse Modulation, Pulse code Modulation, Dynamic Range, Signal Voltage ?to-
Quantization Noise Voltage Ratio, Linear Versus Nonlinear PCM Codes, Companding, PCM Line Speed, Delta
Modulation PCM and Differential PCM.
MULTIPLEXING AND T CARRIERS: Time- Division Multiplexing, T1 Digital Carrier System, Digital Line
Encoding, T Carrier systems, Frequency- Division Multiplexing, Wavelength- Division Multiplexing, Synchronous
Optical Network
Unit IV:
WIRELESS COMMUNICATIONS SYSTEMS: Electromagnetic Polarization, Electromagnetic Radiation, Optical
Properties of Radio Waves, Terrestrial Propagation of Electromagnetic Waves, Skip Distance, Free-Space Path Loss,
Microwave Communications Systems, Satellite Communications Systems.
Unit V:
TELEPHONE INSTRUMENTS AND SIGNALS: The Subscriber Loop, Standard Telephone Set, Basic Telephone
Call Procedures, Call Progress Tones and Signals, Cordless Telephones, Caller ID, Electronic Telephones, Paging
systems.
CELLULAR TELEPHONE SYSTEMS: First- Generation Analog Cellular Telephone, Personal Communications
system, Second-Generation Cellular Telephone Systems, N-AMPS, Digital Cellular Telephone, Interim Standard,
Global system for Mobile Communications.
Unit VI:
DATA COMMUNICATIONS CODES, ERROR CONTROL, AND DATA FORMATS:
Data Communications Character Codes, Bar Codes, Error Control, Error Detection and Correction,
Character Synchronization.
DATA COMMUNICATIONS EQUIPMENT: Digital Service Unit and Channel Service Unit, Voice- Band Data
Communication Modems, Bell Systems-Compatible Voice- Band Modems, Voice- Band Modem Block Diagram,
Voice- Band Modem Classifications, Asynchronous Voice-Band Modems, Synchronous Voice-Band Modems,
Modem Synchronization, 56K Modems, Modem Control: The AT Command Set, Cable Modems.
TEXT BOOKS:
1. Introduction to Data Communications and Networking, Wayne Tomasi, Pearson
Education.
Reference Books :
1. Data Communications and Networking, Behrouz A Forouzan, Fourth Edition.TMH.
2. Data and Computer communications, 8/e, William Stallings, PHI.
3. Computer Communications and Networking Technologies, Gallow, Second Edition Thomson
4. Computer Networking and Internet, Fred Halsll, Lingana Gouda Kulkarni, Fifth Edition, Pearson Education
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Principles of Programming Languages
Course objectives:
1. To understand and describe syntax and semantics of programming languages
2. To understand data, data types, and basic statements
3. To understand call-return architecture and ways of implementing them
4. To understand object-orientation, concurrency, and event handling in programming languages
5. To develop programs in non-procedural programming paradigms
Course Outcomes:
Upon Completion of the course, the students will be able to
1. Describe syntax and semantics of programming languages
2. Explain data, data types, and basic statements of programming languages
3. Design and implement subprogram constructs, Apply object - oriented, concurrency, and event handling
programming constructs
4. Develop programs in Scheme, ML, and Prolog
5. Understand and adopt new programming languages
Syllabus:
UNIT I :
SYNTAX AND SEMANTICS: Evolution of programming languages, describing syntax, context,free grammars, attribute
grammars, describing semantics, lexical analysis, parsing, recursive - decent bottom - up parsing
UNIT II:
DATA, DATA TYPES, AND BASIC STATEMENTS: Names, variables, binding, type checking, scope, scope rules,
lifetime and garbage collection, primitive data types, strings, array types, associative arrays, record types, union types,
pointers and references, Arithmetic expressions, overloaded operators, type conversions, relational and boolean expressions
, assignment statements , mixed mode assignments, control structures ? selection, iterations, branching, guarded Statements
UNIT III:
SUBPROGRAMS AND IMPLEMENTATIONS: Subprograms, design issues, local referencing, parameter passing,
overloaded methods, generic methods, design issues for functions, semantics of call and return, implementing simple
subprograms, stack and dynamic local variables, nested subprograms, blocks, dynamic scoping
UNIT IV:
OBJECT- ORIENTATION, CONCURRENCY, AND EVENT HANDLING: Object ? orientation, design issues for
OOP languages, implementation of object, oriented constructs, concurrency, semaphores,
Monitors, message passing, threads, statement level concurrency, exception handling, event handling
UNIT V :
FUNCTIONAL PROGRAMMING LANGUAGES: Introduction to lambda calculus, fundamentals of functional
programming languages, Programming with Scheme, ?
Programming with ML,
UNIT VI :
LOGIC PROGRAMMING LANGUAGES: Introduction to logic and logic programming, ?
Programming with Prolog, multi - paradigm languages
TEXT BOOKS:
1. Robert W. Sebesta, "Concepts of Programming Languages", Tenth Edition, Addison
Wesley, 2012.
2. Programming Langugaes, Principles & Paradigms, 2ed, Allen B Tucker, Robert E Noonan, TMH
REFERENCES:
1. R. Kent Dybvig, "The Scheme programming language", Fourth Edition, MIT Press, 2009.
2. Jeffrey D. Ullman, "Elements of ML programming", Second Edition, Prentice Hall, 1998.
3. Richard A. O'Keefe, "The craft of Prolog", MIT Press, 2009.
4. W. F. Clocksin and C. S. Mellish, "Programming in Prolog: Using the ISO Standard", Fifth Edition, Springer, 2003
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Database Management Systems
Course Objectives:
Provides students with theoretical knowledge and practical skills in the use of databases and database management
systems in information technology applications. The logical design, physical design and implementation of relational
databases are covered.
Course Outcomes:
? define a Database Management System
? give a description of the Database Management structure
? understand the applications of Databases
? know the advantages and disadvantages of the different models
? compare relational model with the Structured Query Language (SQL)
? know the constraints and controversies associated with relational database model.
? know the rules guiding transaction ACID
? understand the concept of data planning and Database design
? identify the various functions of Database Administrator
Syllabus:
Unit ? I: INTRODUCTION
Database system, Characteristics (Database Vs File System), Database Users(Actors on Scene, Workers behind the
scene), Advantages of Data base systems, Database applications.
Brief introduction of different Data Models; Concepts of Schema, Instance and data independence; Three tier schema
architecture for data independence; Database system structure, environment, Centralized and Client Server
architecture for the database.
Unit ? II:
RELATIONAL MODEL : Introduction to relational model, concepts of domain, attribute, tuple, relation, importance
of null values, constraints (Domain, Key constraints, integrity constraints) and their importance
BASIC SQL : Simple Database schema, data types, table definitions (create, alter), different DML operations (insert,
delete, update), basic SQL querying (select and project) using where clause, arithmetic & logical operations, SQL
functions(Date and Time, Numeric, String conversion).
Unit ? III:
Entity Relationship Model: Introduction, Representation of entities, attributes, entity set, relationship, relationship
set, constraints, sub classes, super class, inheritance, specialization, generalization using ER Diagrams.
SQL : Creating tables with relationship, implementation of key and integrity constraints, nested queries, sub queries,
grouping, aggregation, ordering, implementation of different types of joins, view(updatable and non-updatable),
relational set operations.
Unit ? IV:
SCHEMA REFINEMENT (NORMALIZATION) : Purpose of Normalization or schema refinement, concept of
functional dependency, normal forms based on functional dependency(1NF, 2NF and 3 NF), concept of surrogate key,
Boyce-codd normal form(BCNF), Lossless join and dependency preserving decomposition, Fourth normal form(4NF).
Unit ? V:
TRANSACTION MANAGEMENT AND CONCURRENCY CONTROL : Transaction, properties of transactions,
transaction log, and transaction management with SQL using commit rollback and savepoint.
Concurrency control for lost updates, uncommitted data, inconsistent retrievals and the Scheduler. Concurrency
control with locking methods : lock granularity, lock types, two phase locking for ensuring serializability, deadlocks,
Concurrency control with time stamp ordering : Wait/Die and Wound/Wait Schemes, Database Recovery management
: Transaction recovery.
SQL constructs that grant access or revoke access from user or user groups. Basic PL/SQL procedures, functions and
triggers.
UNIT ? VI:
STORAGE AND INDEXING : Database file organization, file organization on disk, heap files and sorted files,
hashing, single and multi-level indexes, dynamic multilevel indexing using B-Tree and B+ tree, index on multiple
keys.
Text Books :
1. Database Management Systems, 3/e Raghuram Krishnan, Johannes Gehrke, TMH
2. Database Management System, 6/e Ramez Elmasri, Shamkant B. Navathe, PEA
3. Database Principles Fundamentals of Design Implementation and Management, Corlos Coronel, Steven
Morris, Peter Robb, Cengage Learning.
Reference Books :
1. Database System Concepts. 5/e Silberschatz, Korth, TMH
2. Introduction to Database Systems, 8/e C J Date, PEA
3. The Database book principles & practice using Oracle/MySql Narain Gehani, University Press.
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Operating Systems
Course Objectives:
To gain knowledge about the Operating Systems concepts such as process, main memory management,
secondary memory management, CPU and disk scheduling etc
Course Outcomes:
By the end of the course student will be able to
?
describe the general architecture of computers
?
describe, contrast and compare differing structures for operating Systems
?
understand and analyse theory and implementation of: processes, resource
control (concurrency etc.), physical and virtual memory, scheduling, I/O
and files
Syllabus:
UNIT-I:
Computer System and Operating System Overview: Overview of computer operating systems, operating systems
functions, protection and security, distributed systems, special purpose systems, operating systems structures and
systems calls, operating systems generation.
UNIT-II:
Process Management ? Process concept- process scheduling, operations, Inter process communication. Multi Thread
programming models. Process scheduling criteria and algorithms, and their evaluation.
UNIT-III:
Concurrency: Process synchronization, the critical- section problem, Peterson's Solution, synchronization Hardware,
semaphores, classic problems of synchronization, monitors, Synchronization examples
UNIT-IV:
Memory Management: Swapping, contiguous memory allocation, paging, structure of the page table, segmentation
Virtual Memory Management:
virtual memory, demand paging, page-Replacement, algorithms, Allocation of Frames, Thrashing
UNIT-V:
Principles of deadlock ? system model, deadlock characterization, deadlock prevention, detection and avoidance,
recovery form deadlock,
UNIT-VI:
File system Interface- the concept of a file, Access Methods, Directory structure, File system mounting, file sharing,
protection.
File System implementation- File system structure, allocation methods, free-space management
Mass-storage structure overview of Mass-storage structure, Disk structure, disk attachment, disk scheduling
TEXT BOOKS:
1. Operating System Concepts- Abraham Silberchatz, Peter B. Galvin, Greg Gagne 7th Edition, John Wiley.
2. Operating Systems' ? Internal and Design Principles Stallings, Sixth Edition?2005, Pearson education
REFERENCE BOOKS:
1. http://nptel.iitm.ac.in/courses/Webcourse-contents/IISc-BANG/ Operating%20Systems/New_index1.html
2. Operating systems- A Concept based Approach-D.M.Dhamdhere, 2nd Edition, TMH
3. Operating System A Design Approach-Crowley, TMH.
4. Modern Operating Systems, Andrew S Tanenbaum 3rd edition PHI.
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Compiler Design Lab
Course Objectives:
To enlighten the student with knowledge base in compiler design and its applications
Course Outcomes:
Demonstrate a working understanding of the process of lexical analysis, parsing and other compiler design aspects.
Lab Experiments:
1.
Design a lexical analyzer for given language and the lexical analyzer should ignore redundant spaces, tabs and
new lines
2.
Simulate First and Follow of a Grammar.
3.
Develop an operator precedence parser for a given language.
4.
Construct a recursive descent parser for an expression.
5.
Construct a LL(1) parser for an expression
6.
Design predictive parser for the given language
7.
Implementation of shift reduce parsing algorithm.
8.
Design a LALR bottom up parser for the given language.
9.
Implement the lexical analyzer using JLex, flex or lex or other lexical analyzer generating tools
10. Write a program to perform loop unrolling.
11. Convert the BNF rules into YACC form and write code to generate abstract syntax tree.
12. Write a program for constant propagation.
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Operating Systems & Linux Programming
Laboratory
Operating Systems
1.
Simulate the following CPU scheduling algorithms
a) Round Robin b) SJF c) FCFS d) Priority
2.
Multiprogramming-Memory management- Implementation of fork (), wait (), exec() and exit (), System calls
3.
Simulate the following
Multiprogramming with a fixed number of tasks (MFT)
Multiprogramming with a variable number of tasks (MVT)
4.
Simulate Bankers Algorithm for Dead Lock Avoidance
5.
Simulate Bankers Algorithm for Dead Lock Prevention.
6. Simulate the following page replacement algorithms.
a) FIFO b) LRU c) LFU
7. Simulate the following File allocation strategies
a) Sequenced b) Indexed c) Linked
Linux Programming
1.
a) Study of Unix/Linux general purpose utility command list
man,who,cat, cd, cp, ps, ls, mv, rm, mkdir, rmdir, echo, more, date, time, kill, history, chmod, chown, finger,
pwd, cal, logout, shutdown.
b) Study of vi editor.
c) Study of Bash shell, Bourne shell and C shell in Unix/Linux operating system.
d) Study of Unix/Linux file system (tree structure).
e) Study of .bashrc, /etc/bashrc and Environment variables.
2. Write a C program that makes a copy of a file using standard I/O, and system calls
3. Write a C program to emulate the UNIX ls ?l command.
4. Write a C program that illustrates how to execute two commands concurrently
with a command pipe.
Ex: - ls ?l | sort
5. Write a C program that illustrates two processes communicating using shared
memory
6. Write a C program to simulate producer and consumer problem usingsemaphores
7. Write C program to create a thread using pthreads library and let it run its function.
8.
Write a C program to illustrate concurrent execution of threads using pthreads library.
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Database Management Systems Lab
Objectives:
?
To teach the student database design and query and PL/SQL.
System/Software Requirements:
?
Intel based desktop PC
?
Mysql /Oracle latest version Recommended
PROGRAMS LIST:
1) Creation, altering and droping of tables and inserting rows into a table (use constraints while
creating tables) examples using SELECT command.
2) Queries (along with sub Queries) using ANY, ALL, IN, EXISTS, NOTEXISTS, UNION,
INTERSET, Constraints.
Example:- Select the roll number and name of the student who secured fourth rank in the class.
3) Queries using Aggregate functions (COUNT, SUM, AVG, MAX and
MIN), GROUP BY, HAVING and Creation and dropping of Views.
4) Queries using Conversion functions (to_char, to_number and to_date), string functions
(Concatenation, lpad, rpad, ltrim, rtrim, lower, upper, initcap, length, substr and instr), date
functions (Sysdate, next_day, add_months, last_day, months_between, least, greatest, trunc, round,
to_char, to_date)
5) i)Creation of simple PL/SQL program which includes declaration section, executable section and
exception ?Handling section (Ex. Student marks can be selected from the table and printed for
those who secured first class and an exception can be raised if no records were found)
ii)Insert data into student table and use COMMIT, ROLLBACK and SAVEPOINT in PL/SQL
block.
6) Develop a program that includes the features NESTED IF, CASE and CASE expression. The
program can be extended using the NULLIF and COALESCE functions.
7) Program development using WHILE LOOPS, numeric FOR LOOPS, nested loops using ERROR
Handling, BUILT ?IN Exceptions, USE defined Exceptions, RAISE- APPLICATION ERROR.
8) Programs development using creation of procedures, passing parameters IN and OUT of
PROCEDURES.
9) Program development using creation of stored functions, invoke functions in SQL Statements and
write complex functions.
10) Program development using creation of package specification, package bodies, private objects,
package variables and cursors and calling stored packages.
11) Develop programs using features parameters in a CURSOR, FOR UPDATE CURSOR, WHERE
CURRENT of clause and CURSOR variables.
12) Develop Programs using BEFORE and AFTER Triggers, Row and Statement Triggers and
INSTEAD OF Triggers
TEXT BOOKS :
1) ORACLE PL/SQL by example. Benjamin Rosenzweig, Elena Silvestrova, Pearson Education 3rd Edition
2) ORACLE DATA BASE LOG PL/SQL Programming SCOTT URMAN, Tata Mc-Graw Hill.
3) SQL & PL/SQL for Oracle 10g, Black Book, Dr.P.S. Deshpande.
4) Data Base Management System, Oracle SQL and PL/SQL, Pranab kumar Das Gupta, P Radha Krishna, PHI
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Seminar
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Computer Networks
Course Objectives:
At the end of the course, the students will be able to:
1. Build an understanding of the fundamental concepts of computer networking.
2. Familiarize the student with the basic taxonomy and terminology of the computer
networking area.
3. Introduce the student to advanced networking concepts, preparing the student for
entry Advanced courses in computer networking.
Course Outcomes:
After completing this course the student must demonstrate the knowledge and ability to:
1. Independently understand basic computer network technology.
2. Identify the different types of network topologies and protocols.
3. Enumerate the layers of the OSI model and TCP/IP. Explain the function(s) of each
layer.
Syllabus:
UNIT ? I :
Introduction: OSI overview, TCP/IP and other networks models, Examples of Networks: Novell Networks, Arpanet,
Internet, Network Topologies WAN, LAN, MAN.
UNIT ? II :
Physical Layer and overview of PL Switching: Multiplexing: frequency division multiplexing, wave length division
multiplexing, synchronous time division multiplexing, statistical time division multiplexing, introduction to switching:
Circuit Switched Networks, Datagram Networks, Virtual Circuit Networks.
UNIT ? III:
Data link layer: Design issues, Framing: fixed size framing, variable size framing, flow control, error control, error
detection and correction, CRC, Checksum: idea, one's complement internet checksum, services provided to Network
Layer, Elementary Data Link Layer protocols: simplex protocol, Simplex stop and wait, Simplex protocol for
Noisy Channel.
Sliding window protocol: One bit, Go back N, Selective repeat-Stop and wait protocol, Data link layer in HDLC:
configuration and transfer modes, frames, control field, point to point protocol (PPP): framing transition phase,
multiplexing, multi link PPP.
UNIT ? IV :
Random Access: ALOHA, MAC addresses, Carrier sense multiple access (CSMA), CSMA with Collision Detection,
CSMA with Collision Avoidance, Controlled Access: Reservation, Polling, Token Passing, Channelization: frequency
division multiple access(FDMA), time division multiple access(TDMA), code division multiple access(CDMA).
Network Layer: Virtual circuit and Datagram subnets-Routing algorithm shortest path routing, Flooding, Hierarchical
routing, Broad cast, Multi cast, distance vector routing.
UNIT ?V :
IEEE Standards: ? data link layer, physical layer, Manchester encoding, Standard Ethernet: MAC sub layer, physical
layer, Fast Ethernet: MAC sub layer, physical layer, IEEE-802.11: Architecture, MAC sub layer, addressing
mechanism, frame structure.
UNIT ?VI :
Application layer (WWW and HTTP): ARCHITECTURE : Client (Browser) ,Server ,Uniform Resource Locator
HTTP: HTTP Transaction, HTTP Operational Model and Client/Server Communication, HTTP Generic Message
Format, HTTP Request Message Format, HTTP Response Message Format
The wireless web : WAP--The Wireless Application Protocol
TEXT BOOKS :
1. Data Communications and Networks ? Behrouz A. Forouzan.Third Edition TMH.
2. Computer Networks, 5ed, David Patterson, Elsevier
3. Computer Networks -- Andrew S Tanenbaum, 4th Edition. Pearson Education/PHI
4. Computer Networks, Mayank Dave, CENGAGE
REFERENCES :
1. An Engineering Approach to Computer Networks-S.Keshav, 2nd Edition, Pearson Education
2. Understanding communications and Networks, 3rd Edition, W.A. Shay, Thomson
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Data Ware housing and Mining
Course Objectives:
Students will be enabled to understand and implement classical models and algorithms in data warehousing and data
mining. They will learn how to analyze the data, identify the problems, and choose the relevant models and algorithms
to apply. They will further be able to assess the strengths and weaknesses of various methods and algorithms and to
analyze their behavior.
Course Outcomes:
a) understand why there is a need for data warehouse in addition to traditional
operational database systems;
b) identify components in typical data warehouse architectures;
c) design a data warehouse and understand the process required to construct
one;
d) understand why there is a need for data mining and in what ways it is
different from traditional statistical techniques;
e) understand the details of different algorithms made available by popular
commercial data mining software;
f) solve real data mining problems by using the right tools to find interesting
patterns
Syllabus:
UNIT ?I:
Introduction : What Motivated Data Mining? Why Is It Important, Data Mining--On What Kind of Data, Data
Mining Functionalities--What Kinds of Patterns Can Be Mined? Are All of the Patterns Interesting? Classification of
Data Mining Systems, Data Mining Task Primitives, Integration of a Data Mining System with a Database or Data
Warehouse System, Major Issues in Data Mining. (Han & Kamber)
UNIT ?II:
Data Pre-processing : Why Pre-process the Data? Descriptive Data Summarization, Data Cleaning, Data Integration
and Transformation, Data Reduction, Data Discretization and Concept Hierarchy Generation. (Han & Kamber)
UNIT ?III:
Data Warehouse and OLAP Technology: An Overview : What Is a Data Warehouse? A Multidimensional Data
Model, Data Warehouse Architecture, Data Warehouse Implementation, From Data Warehousing to Data Mining.
(Han & Kamber)
UNIT ?IV:
Classification : Basic Concepts, General Approach to solving a classification problem, Decision Tree Induction:
Working of Decision Tree, building a decision tree, methods for expressing an attribute test conditions, measures for
selecting the best split, Algorithm for decision tree induction.
Model Over fitting: Due to presence of noise, due to lack of representation samples, evaluating the performance of
classifier: holdout method, random sub sampling, cross-validation, bootstrap. (Tan & Vipin)
UNIT ?V
Association Analysis: Basic Concepts and Algorithms : Introduction, Frequent Item Set generation, Rule
generation, compact representation of frequent item sets, FP-Growth Algorithm. (Tan & Vipin)
UNIT ?VI
Cluster Analysis: Basic Concepts and Algorithms : What Is Cluster Analysis? Different Types of Clustering,
Different Types of Clusters, K-means, The Basic K-means Algorithm, K-means: Additional Issues, Bisecting K-
means, K-means and Different Types of Clusters, Strengths and Weaknesses, K-means as an Optimization Problem,
Agglomerative Hierarchical Clustering, Basic Agglomerative Hierarchical Clustering Algorithm, Specific
Techniques, DBSCAN, Traditional Density: Center-Based Approach, The DBSCAN Algorithm, Strengths and
Weaknesses. (Tan & Vipin)
Text Books :
1.
Introduction to Data Mining : Pang-Ning Tan & Michael Steinbach, Vipin Kumar, Pearson.
2.
Data Mining concepts and Techniques, 3/e, Jiawei Han, Michel Kamber, Elsevier.
Reference Books :
1.
Data Mining Techniques and Applications: An Introduction, Hongbo Du, Cengage Learning.
2.
Data Mining : Introductory and Advanced topics : Dunham, Pearson.
3.
Data Warehousing Data Mining & OLAP, Alex Berson, Stephen Smith, TMH.
4.
Data Mining Techniques, Arun K Pujari, Universities Press.
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Design and Analysis of Algorithms
Course Objectives:
Upon completion of this course, students will be able to do the following:
?
Analyze the asymptotic performance of algorithms.
?
Write rigorous correctness proofs for algorithms.
?
Demonstrate a familiarity with major algorithms and data structures.
?
Apply important algorithmic design paradigms and methods of analysis.
?
Synthesize efficient algorithms in common engineering design situations.
Course Outcomes:
Students who complete the course will have demonstrated the ability to do the following:
?
Analyze worst-case running times of algorithms using asymptotic analysis.
?
Describe the divide-and-conquer paradigm and explain when an algorithmic design situation calls for
it.
?
Describe the dynamic-programming paradigm and explain when an algorithmic design situation calls
for it.
?
Describe the greedy paradigm and explain when an algorithmic design situation calls for it.
?
Explain the major graph algorithms and their analyses. Employ graphs to model engineering
problems, when appropriate. Synthesize new graph algorithms and algorithms that employ graph
computations as key components, and analyze them.
?
Explain the different ways to analyze randomized algorithms (expected running time, probability of
error). Recite algorithms that employ randomization. Explain the difference between a randomized
algorithm and an algorithm with probabilistic inputs.
?
Analyze randomized algorithms. Employ indicator random variables and linearity of expectation to
perform the analyses. Recite analyses of algorithms that employ this method of analysis.
Syllabus:
UNIT-I:
Introduction: Algorithm, Psuedo code for expressing algorithms, performance Analysis-Space complexity, Time
complexity, Asymptotic Notation- Big oh notation, Omega notation, Theta notation and Little oh notation,
probabilistic analysis, Amortized analysis.
UNIT-II:
Divide and conquer: General method, applications-Binary search, Quick sort, Merge sort
UNIT-III:
Greedy method: General method, applications-Job sequencing with deadlines, knapsack problem, spanning trees,
Minimum cost spanning trees, Single source shortest path problem.
UNIT-IV:
Dynamic Programming: General method, applications-Matrix chain multiplication, Optimal binary search trees, 0/1
knapsack problem, All pairs shortest path problem, Travelling sales person problem, Reliability design.
UNIT-V:
Backtracking: General method, applications-n-queen problem, sum of subsets problem, graph coloring, Hamiltonian
cycles.
UNIT-VI:
Branch and Bound: General method, applications - Travelling sales person problem,0/1 knapsack problem- LC
Branch and Bound solution, FIFO Branch and Bound solution.
TEXT BOOKS:
1. Fundamentals of Computer Algorithms, Ellis Horowitz, Satraj Sahni and
Rajasekharam, Universities Press.
2. Design and Analysis of Algorithms , S Sridhar, Oxford
3. Design and Analysis of Algorithms, Parag Himanshu Dave, Himansu
BAlachandra Dave, 2ed,Pearson Education.
REFERENCE BOOKS:
1. Design and Analysis of algorithms, Aho, Ullman and Hopcroft,Pearson education.
2. Introduction to the Design and Analysis of Algorithms, Anany Levitin, PEA
3. Introduction to Algorithms, second edition, T.H.Cormen, C.E.Leiserson, R.L.Rivest and C.Stein,PHI Pvt.
Ltd.
4. Algorithm Design, Foundation, Analysis and internet Examples, Michel T Goodrich, Roberto Tamassia,
Wiley
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Software Engineering
Course Objectives:
The students will have a broad understanding of the discipline of software engineering and its application to the
development of and management of software systems.
Course Outcomes:
1. knowledge of basic SW engineering methods and practices, and their appropriate application;
2. general understanding of software process models such as the waterfall and evolutionary models.
3. understanding of the role of project management including planning, scheduling, risk management, etc.
4. understanding of software requirements and the SRS document.
5. understanding of different software architectural styles.
6. understanding of implementation issues such as modularity and coding standards.
7. understanding of approaches to verification and validation including static analysis, and reviews.
8. understanding of software testing approachs such as unit testing and integration testing.
9. understanding of software evolution and related issues such as version management.
10. understanding on quality control and how to ensure good quality software.
11. understanding of some ethical and professional issues that are important for software engineers.
12. development of significant teamwork and project based experience
Syllabus:
UNIT I:
Introduction to Software Engineering: Software, Software Crisis, Software Engineering definition, Evolution of
Software Engineering Methodologies, Software Engineering Challenges.
Software Processes: Software Process, Process Classification, Phased development life cycle, Software Development
Process Models- Process, use, applicability and Advantages/limitations
UNIT II:
Requirements Engineering: Software Requirements, Requirements engineering Process, Requirements elicitation,
Requirements Analysis, Structured Analysis, Data Oriented Analysis, Object oriented Analysis, Prototyping Analysis,
Requirements Specification, Requirements Validation, requirement Management.
UNIT III:
Software Design: Software Design Process, Characteristics of Good Software Design, Design Principles, Modular
Design, Design Methodologies, Structured Design, Structured Design Methodology, Transform Vs Transaction
Analysis.
Object-Oriented Design: Object oriented Analysis and Design Principles
UNIT IV:
Implementation: Coding Principles, Coding Process, Code verification, Code documentation
Software Testing: Testing Fundamentals, Test Planning, Black Box Testing, White Box Testing, Levels of Testing,
Usability Testing, Regression testing, Debugging approaches
UNIT V:
Software Project Management: Project Management Essentials, What is Project management, Software
Configuration Management.
Project Planning and Estimation: Project Planning activities, Software Metrics and measurements, Project Size
Estimation, Effort Estimation Techniques.
UNIT VI:
Software Quality: Software Quality Factors, Verification & Validation, Software Quality Assurance, The Capability
Maturity Model
Software Maintenance: Software maintenance, Maintenance Process Models, Maintenance Cost, Reengineering,
Reengineering activities, Software Reuse.
TEXT BOOKS:
1. Software Engineering, concepts and practices, Ugrasen Suman, Cengage learning
2. Software Engineering, 8/e, Sommerville, Pearson.
3. Software Engineering, 7/e , Roger S.Pressman , TMH
REFERENCE BOOKS:
1. Software Engineering, A Precise approach, Pankaj Jalote, Wiley
2. Software Engineering principles and practice, W S Jawadekar, TMH
3. Software Engineering concepts, R Fairley, TMH
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Web Technologies
Course Objectives:
This course is designed to introduce students with no programming experience to the programming languages and
techniques associated with the World Wide Web. The course will introduce web-based media-rich programming tools
for creating interactive web pages.
Course Outcomes:
1. Analyze a web page and identify its elements and attributes.
2. Create web pages using XHTML and Cascading Styles sheets.
3. Build dynamic web pages .
4. Build web applications using PHP.
5. Programming through PERL and Ruby
6. write simple client-side scripts using AJAX
Syllabus:
UNIT-I:
HTML tags, Lists, Tables, Images, forms, Frames. Cascading style sheets. Introduction to Java script. Objects in Java
Script. Dynamic HTML with Java Script
UNIT-II:
Working with XML: Document type Definition, XML schemas, Document object model, XSLT, DOM and SAX.
UNIT-III:
AJAX A New Approach: Introduction to AJAX, Integrating PHP and AJAX. Consuming WEB services in AJAX:
(SOAP, WSDL,UDDI)
UNIT-IV:
PHP Programming: Introducing PHP: Creating PHP script, Running PHP script. Working with variables and
constants: Using variables,Using constants,Data types,Operators.Controlling program flow: Conditional
statements,Control statements,Arrays,functions.Working with forms and Databases such as mySql, Oracle, SQL
Sever.
UNIT-V:
Introduction to PERL, Perl language elements, Interface with CGI- A form to mail program, Simple page search
UNIT-VI:
Introduction to Ruby, variables, types, simple I/O, Control, Arrays, Hashes, Methods, Classes, Iterators, Pattern
Matching, Practical Web Applications
Text Books:
1. Programming the World Wide Web, Robet W Sebesta, 7ed, Pearson.
2. Web Technologies, Uttam K Roy, Oxford
3. The Web Warrior Guide to Web Programming, Bai, Ekedahl, Farrelll, Gosselin, Zak, Karparhi, Maclntyre,
Morrissey, Cengage
Reference Books:
1. Ruby on Rails Up and Running, Lightning fast Web development, Bruce Tate, Curt Hibbs, Oreilly ( 2006)
2. Programming Perl, 4ed, Tom Christiansen, Jonathan Orwant, Oreilly (2012)
3. Web Technologies, HTML< JavaScript, PHP, Java, JSP, XML and AJAX, Black book, Dream Tech.
4. An Introduction to Web Design, Programming, Paul S Wang, Sanda S Katila, Cengage
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2
Computer Networks & Network Programming Lab
Objectives:
? To teach students practicle orientation of f networking concepts
? To teach students various forms of IPC through Unix and socket Programming
PART ? A
1. Implement the data link layer framing methods such as character stuffing and bit stuffing.
2. Implement on a data set of characters the three CRC polynomials ? CRC 12, CRC 16 and CRC CCIP.
3. Implement Dijkstra`s algorithm to compute the Shortest path thru a graph.
4. Take an example subnet graph with weights indicating delay between nodes. Now obtain Routing table art each node using
distance vector routing algorithm
5. Take an example subnet of hosts. Obtain broadcast tree for it.
PART ? B
1.
Implement the following forms of IPC.
a)Pipes
b)FIFO
2.
Implement file transfer using Message Queue form of IPC
3.
Write a programme to create an integer variable using shared memory concept and increment the variable
4.
simultaneously by two processes. Use senphores to avoid race conditions
5.
Design TCP iterative Client and server application to reverse the given input sentence
6.
Design TCP iterative Client and server application to reverse the given input sentence
7.
Design TCP client and server application to transfer file
8.
Design a TCP concurrent server to convert a given text into upper case using multiplexing system call "select"
9.
Design a TCP concurrent server to echo given set of sentences using poll functions
10. Design UDP Client and server application to reverse the given input sentence
11. Design UDP Client server to transfer a file
12. Design using poll client server application to multiplex TCP and UDP requests for converting a given text into upper case.
13. Design a RPC application to add and subtract a given pair of integers
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Software Engineering Lab
Objective:
? The Software Engineering lab will facilitate the students to develop a preliminary yet practical
understanding of software development process and tools
Experiments:
Take any real time problem and do the following experiments
1. Do the Requirement Analysis and Prepare SRS
2. Using COCOMO model estimate effort.
3. Calculate effort using FP oriented estimation model.
4. Analyze the Risk related to the project and prepare RMMM plan.
5. Develop Time-line chart and project table using PERT or CPM project scheduling methods.
6. Draw E-R diagrams, DFD, CFD and structured charts for the project.
7. Design of Test cases based on requirements and design.
8. Prepare FTR
9. Prepare Version control and change control for software configuration items.
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Web Technologies Lab
1. Design the following static web pages required for an online book store web site.
1) HOME PAGE:
The static home page must contain three frames.
Top frame : Logo and the college name and links to Home page, Login page, Registration page, Catalogue
page and Cart page (the description of these pages will be given below).
Left frame : At least four links for navigation, which will display the catalogue of respective links.
For e.g.: When you click the link "MCA" the catalogue for MCA Books should be displayed in the Right
frame.
Right frame: The pages to the links in the left frame must be loaded here. Initially this page contains
description of the web site.
2)login page
3) CATOLOGUE PAGE:
The catalogue page should contain the details of all the books available in the web site in a table.
The details should contain the following:
1. Snap shot of Cover Page.
2. Author Name.
3. Publisher.
4. Price.
5. Add to cart button.
4. REGISTRATION PAGE:
Create a "registration form "with the following fields
1) Name (Text field)
2) Password (password field)
3) E-mail id (text field)
4) Phone number (text field)
5) Sex (radio button)
6) Date of birth (3 select boxes)
7) Languages known (check boxes ? English, Telugu, Hindi, Tamil)
8) Address (text area)
5. Design a web page using CSS (Cascading Style Sheets) which includes the following:
1) Use different font, styles:
In the style definition you define how each selector should work (font, color etc.).
Then, in the body of your pages, you refer to these selectors to activate the styles
6. Write an XML file which will display the Book information which includes the following:
1) Title of the book
2) Author Name
3) ISBN number
4) Publisher name
5) Edition
6) Price
Write a Document Type Definition (DTD) to validate the above XML file.
7. Write Ruby program reads a number and calculates the factorial value of it and prints the same.
8. Write a Ruby program which counts number of lines in a text file using its regular expressions facility.
9. Write a Ruby program that uses iterator to find out the length of a string.
10. Write simple Ruby programs that uses arrays in Ruby.
11. Write programs which uses associative arrays concept of Ruby.
12. Write Ruby program which uses Math module to find area of a triangle.
13. Write Ruby program which uses tk module to display a window
14. Define complex class in Ruby and do write methods to carry operations on complex objects.
15. Write a program which illustrates the use of associative arrays in perl.
16. Write perl program takes a set names along the command line and prints whether they are regular files or
special files
17. Write a perl program to implement UNIX `passwd' program
18. An example perl program to connect to a MySQl database table and executing simple commands.
19. Example PHP program for cotactus page.
20. User Authentication :
Assume four users user1,user2,user3 and user4 having the passwords pwd1,pwd2,pwd3 and pwd4
respectively. Write a PHP for doing the following.
1. Create a Cookie and add these four user id's and passwords to this Cookie.
2. Read the user id and passwords entered in the Login form (week1) and authenticate with the values
(user id and passwords ) available in the cookies.
If he is a valid user(i.e., user-name and password match) you should welcome him by name(user-name) else
you should display " You are not an authenticated user ''.
Use init-parameters to do this.
21. Example PHP program for registering users of a website and login.
22. Install a database(Mysql or Oracle).
Create a table which should contain at least the following fields: name, password, email-id, phone
number(these should hold the data from the registration form).
Write a PHP program to connect to that database and extract data from the tables and display them.
Experiment with various SQL queries.
Insert the details of the users who register with the web site, whenever a new user clicks the submit button in
the registration page (week2).
23. Write a PHP which does the following job:
Insert the details of the 3 or 4 users who register with the web site (week9) by using registration form.
Authenticate the user when he submits the login form using the user name and password from the database
( similar to week8 instead of cookies).
24. Create tables in the database which contain the details of items (books in our case like Book name ,
Price, Quantity, Amount ) of each category. Modify your catalogue page (week 2)in such a way that you
should connect to the database and extract data from the tables and display them in the catalogue page using
PHP
25. HTTP is a stateless protocol. Session is required to maintain the state.
The user may add some items to cart from the catalog page. He can check the cart page for the selected
items. He may visit the catalogue again and select some more items. Here our interest is the selected items
should be added to the old cart rather than a new cart. Multiple users can do the same thing at a time(i.e.,
from different systems in the LAN using the ip-address instead of localhost). This can be achieved through
the use of sessions. Every user will have his own session which will be created after his successful login to
the website. When the user logs out his session should get invalidated (by using the method
session.invalidate() ).
Modify your catalogue and cart PHP pages to achieve the above mentioned functionality using sessions.
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INTELLECTUAL PROPERTY RIGHTS AND PATENTS
Unit I
Introduction to Intellectual Property Law ? Evolutionary past ? Intellectual Property Law Basics - Types of
Intellectual Property - Innovations and Inventions of Trade related Intellectual Property Rights ? Agencies
Responsible for Intellectual Property Registration ? Infringement - Regulatory ? Over use or Misuse of
Intellectual Property Rights - Compliance and Liability Issues.
Unit II
Introduction to Copyrights ? Principles of Copyright ? Subject Matters of Copyright ? Rights Afforded by
Copyright Law ?Copyright Ownership ? Transfer and Duration ? Right to Prepare Derivative Works ?
Rights of Distribution ? Rights of performers ? Copyright Formalities and Registration ? Limitations ?
Infringement of Copyright ? International Copyright Law- Semiconductor Chip Protection Act.
Unit III
Introduction to Patent Law ? Rights and Limitations ? Rights under Patent Law ? Patent Requirements ?
Ownership and Transfer ? Patent Application Process and Granting of Patent ? Patent Infringement and
Litigation ? International Patent Law ? Double Patenting ? Patent Searching ? Patent Cooperation Treaty ?
New developments in Patent Law- Invention Developers and Promoters.
Unit IV
Introduction to Trade Mark ? Trade Mark Registration Process ? Post registration procedures ? Trade Mark
maintenance ? Transfer of rights ? Inter parties Proceedings ? Infringement ? Dilution of Ownership of
Trade Mark ? Likelihood of confusion ? Trade Mark claims ? Trade Marks Litigation ? International Trade
Mark Law
Unit V
Introduction to Trade Secrets ? Maintaining Trade Secret ? Physical Security ? Employee Access Limitation
? Employee Confidentiality Agreement ? Trade Secret Law ? Unfair Competition ? Trade Secret Litigation
? Breach of Contract ? Applying State Law.
Unit VI
Introduction to Cyber Law ? Information Technology Act - Cyber Crime and E-commerce ? Data Security ?
Confidentiality ? Privacy - International aspects of Computer and Online Crime.
REFERENCE BOOKS:
1. Deborah E.Bouchoux: "Intellectual Property". Cengage learning , New
Delhi
2. Kompal Bansal & Parishit Bansal "Fundamentals of IPR for Engineers",
BS Publications (Press)
3. Cyber Law. Texts & Cases, South-Western's Special Topics Collections
4. Prabhuddha Ganguli: ` Intellectual Property Rights" Tata Mc-Graw ?
Hill, New Delhi
5. Richard Stim: "Intellectual Property", Cengage Learning, New Delhi.
6. R. Radha Krishnan, S. Balasubramanian: "Intellectual Property Rights",
Excel Books. New Delhi.
7. M.Ashok Kumar and Mohd.Iqbal Ali: "Intellectual Property Right"
Serials Pub.
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Cryptography and Network Security
Course objectives:
The main objective of this course is to teach students to understand and how to address various software security
problems in a secure and controlled environment. During this course the students will gain knowledge (both
theoretical and practical) in various kinds of software security problems, and techniques that could be used to protect
the software from security threats. The students will also learn to understand the "modus operandi" of adversaries;
which could be used for increasing software dependability.
Course outcomes:
1. be able to individually reason about software security problems and protection techniques on both an abstract
and a more technically advanced level.
2. be able to individually explain how software exploitation techniques, used by adversaries, function and how to
protect against them.
Syllabus:
UNIT I : Classical Encryption Techniques
Objectives: The Objectives of this unit is to present an overview of the main concepts of cryptography, understand
the threats & attacks, understand ethical hacking.
Introduction: Security attacks, services & mechanisms, Symmetric Cipher Model, Substitution Techniques,
Transportation Techniques, Cyber threats and their defense( Phishing Defensive measures, web based attacks, SQL
injection & Defense techniques)(TEXT BOOK 2), Buffer overflow & format string vulnerabilities, TCP session
hijacking(ARP attacks, route table modification) UDP hijacking ( man-in-the-middle attacks)(TEXT BOOK 3).
UNIT II: Block Ciphers & Symmetric Key Cryptography
Objectives: The Objectives of this unit is to understand the difference between stream ciphers & block ciphers,
present an overview of the Feistel Cipher and explain the encryption and decryption, present an overview of DES,
Triple DES, Blowfish, IDEA.
Traditional Block Cipher Structure, DES, Block Cipher Design Principles, AES-Structure, Transformation functions,
Key Expansion, Blowfish, CAST-128, IDEA, Block Cipher Modes of Operations
UNIT III: Number Theory & Asymmetric Key Cryptography
Objectives: Presents the basic principles of public key cryptography, Distinct uses of public key cryptosystems
Number Theory: Prime and Relatively Prime Numbers, Modular Arithmetic, Fermat's and Euler's Theorems, The
Chinese Remainder theorem, Discrete logarithms.
Public Key Cryptography: Principles, p u b l i c k e y c r y p t o g r a p h y a l g o r i t h m s , RSA Algorithms, Diffie
Hellman Key Exchange, Elgamal encryption & decryption, Elliptic Curve Cryptography.
UNIT IV : Cryptographic Hash Functions & Digital Signatures
Objectives: Present overview of the basic structure of cryptographic functions, Message Authentication Codes,
Understand the operation of SHA-512, HMAC, Digital Signature
Application of Cryptographic hash Functions, Requirements & Security, Secure Hash Algorithm, Message
Authentication Functions, Requirements & Security, HMAC & CMAC. Digital Signatures, NIST Digital Signature
Algorithm. Key management & distribution.
UNIT V: User Authentication, Transport Layer Security & Email Security
Objectives: Present an overview of techniques for remote user authentication, Kerberos, Summarize Web Security
threats and Web traffic security approaches, overview of SSL & TLS. Present an overview of electronic mail security.
User Authentication: Remote user authentication principles, Kerberos
Transport Level Security: Web Security Requirements, Secure Socket Layer (SSL) and Transport Layer
Security (TLS), Secure Shell(SSH)
Electronic Mail Security: Pretty Good Privacy (PGP) and S/MIME.
UNIT VI: IP Security & Intrusion Detection Systems
Objectives: Provide an overview of IP Security, concept of security association, Intrusion Detection Techniques
IP Security: IP Security Overview, IP Security Architecture, Authentication Header, Encapsulating Security
Payload, Combining Security Associations and Key Management.
Intrusion detection: Overview, Approaches for IDS/IPS, Signature based IDS, Host based IDS/IPS. (TEXT BOOK
2)
TEXT BOOKS:
1. Cryptography & Network Security: Principles and Practices, William Stallings, PEA, Sixth edition.
2. Introduction to Computer Networks & Cyber Security, Chwan Hwa Wu, J.David Irwin, CRC press
3. Hack Proofing your Network, Russell, Kaminsky, Forest Puppy, Wiley Dreamtech.
REFERENCE BOOKS:
1.Everyday Cryptography, Fundamental Principles & Applications, Keith Martin, Oxford
2. Network Security & Cryptography, Bernard Menezes, Cengage,2010
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UML & Design Patterns
Course Objectives:
The focus of this course is on design rather than implementation.
1. Introducing the Unified Process and showing how UML can be used within the process.
2. Presenting a comparison of the major UML tools for industrial-strength development.
3. introduction to design patterns, practical experience with a selection of central patterns.
Course Outcomes:
Students successfully completing this course will be able to:
1. identify the purpose and methods of use of common object-oriented design patterns
2. select and apply these patterns in their own designs for simple programs
3. represent the data dependencies of a simple program using UML
4. represent user and programmatic interactions using UML
5. create design documentation outlining the testable and complete design of a simple program
6. produce and present documents for the purpose of capturing software requirements and specification
7. produce plans to limit risks specific to software designed for use in a particular social context
Syllabus:
Unit I: Introduction : Introduction to OOAD; typical activities / workflows / disciplines in OOAD, Introduction to
iterative development and the Unified Process, Introduction to UML; mapping disciplines to UML artifacts,
Introduction to Design Patterns - goals of a good design, Introducing a case study & MVC architecture
Unit II: Inception: Artifacts in inception, Understanding requirements - the FURPS model, Understanding Use case
model - introduction, use case types and formats, Writing use cases - goals and scope of a use case, elements /
sections of a use case, Use case diagrams, Use cases in the UP context and UP artifacts, Identifying additional
requirements, Writing requirements for the case study in the use case model
Unit III: Elaboration: System sequence diagrams for use case model, Domain model : identifying concepts, adding
associations, adding attributes, Interaction Diagrams, Introduction to GRASP design Patterns ,Design Model: Use
case realizations with GRASP patterns, Design Class diagrams in each MVC layer
Mapping Design to Code, Design class diagrams for case study and skeleton code
Unit 4: More Design Patterns: Fabrication, Indirection, Singleton, Factory, Facade, Publish-Subscribe
Unit 5: More UML diagrams : State-Chart diagrams, Activity diagrams, Component Diagrams, Deployment
diagrams, Object diagrams
Unit 6: Advanced concepts in OOAD : Use case relationships, Generalizations
Domain Model refinements, Architecture, Packaging model elements
Textbooks:
1. 'Applying UML and patterns' by Craig Larman, Pearson
2. Object-Oriented Analysis & Design with the Unified Process by Satzinger, Jackson & Burd Cengage
Learning
3. 'UML distilled' by Martin Fowler , Addison Wesley, 2003
Reference:
1. O'reilly ' s 'Head-First Design Patterns' by Eric Freeman et al, Oreillly
2. UML 2 Toolkit, by Hans-Erik Eriksson, Magnus Penker, Brian Lyons, David Fado: WILE\'-Dreamtech lndia
Pvt. Lid.
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Mobile Computing
Course Objective:
1) To make the student understand the concept of mobile computing paradigm, its novel applications and
limitations.
2) To understand the typical mobile networking infrastructure through a popular GSM protocol
3) To understand the issues and solutions of various layers of mobile networks, namely MAC layer, Network
Layer & Transport Layer
4) To understand the database issues in mobile environments & data delivery models.
5) To understand the ad hoc networks and related concepts.
6) To understand the platforms and protocols used in mobile environment.
Course Outcomes:
1) Able to think and develop new mobile application.
2) Able to take any new technical issue related to this new paradigm and come up with a solution(s).
3) Able to develop new ad hoc network applications and/or algorithms/protocols.
4) Able to understand & develop any existing or new protocol related to mobile environment
Syllabus:
UNIT I
Introduction: Mobile Communications, Mobile Computing ? Paradigm, Promises/Novel Applications and
Impediments and Architecture; Mobile and Handheld Devices, Limitations of Mobile and Handheld
Devices.
GSM ? Services, System Architecture, Radio Interfaces, Protocols, Localization, Calling, Handover,
Security, New Data Services, GPRS.
UNIT ?II
(Wireless) Medium Access Control (MAC) : Motivation for a specialized MAC (Hidden and exposed
terminals, Near and far terminals), SDMA, FDMA, TDMA, CDMA, Wireless LAN/(IEEE 802.11)
UNIT ?III
Mobile Network Layer : IP and Mobile IP Network Layers, Packet Delivery and Handover Management,
Location Management, Registration, Tunneling and Encapsulation, Route Optimization, DHCP.
UNIT ?IV
Mobile Transport Layer : Conventional TCP/IP Protocols, Indirect TCP, Snooping TCP, Mobile TCP,
Other Transport Layer Protocols for Mobile Networks.
Database Issues : Database Hoarding & Caching Techniques, Client-Server Computing & Adaptation,
Transactional Models, Query processing, Data Recovery Process & QoS Issues.
UNIT V
Data Dissemination and Synchronization : Communications Asymmetry, Classification of Data Delivery
Mechanisms, Data Dissemination, Broadcast Models, Selective Tuning and Indexing Methods, Data
Synchronization ? Introduction, Software, and Protocols.
UNIT VI
Mobile Ad hoc Networks (MANETs) : Introduction, Applications & Challenges of a MANET, Routing,
Classification of
Routing Algorithms, Algorithms such as DSR, AODV, DSDV, etc. , Mobile Agents, Service Discovery.
Protocols and Platforms for Mobile Computing : WAP, Bluetooth, XML, J2ME, JavaCard, PalmOS,
Windows CE, SymbianOS, Linux for Mobile Devices,Android.
Text Books:
1. Jochen Schiller, "Mobile Communications", Addison-Wesley, Second Edition, 2009.
2. Raj Kamal, "Mobile Computing", Oxford University Press, 2007, ISBN: 0195686772
Reference Book:
1. ASOKE K TALUKDER, HASAN AHMED, ROOPA R YAVAGAL, "Mobile Computing,
Technology Applications and Service Creation" Second Edition, Mc Graw Hill.
2. UWE Hansmann, Lother Merk, Martin S. Nocklous, Thomas Stober, "Principles of Mobile
Computing," Second Edition, Springer.
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Elective - I
Software Testing Methodologies
Course Objectives:
1. To study fundamental concepts in software testing, including software testing objectives, process, criteria,
strategies, and methods.
2. To discuss various software testing issues and solutions in software unit test; integration, regression, and
system testing.
3. To learn how to planning a test project, design test cases and data, conduct testing operations, manage
software problems and defects, generate a testing report.
4. To expose the advanced software testing topics, such as object-oriented software testing methods, and
component-based software testing issues, challenges, and solutions.
5. To gain software testing experience by applying software testing knowledge and methods to practice-oriented
software testing projects.
6. To understand software test automation problems and solutions.
7. To learn how to write software testing documents, and communicate with engineers in various forms.
8. To gain the techniques and skills on how to use modern software testing tools to support software testing
projects.
Course Outcomes:
By the end of the course, the student should:
1. Have an ability to apply software testing knowledge and engineering methods.
2. Have an ability to design and conduct a software test process for a software testing project.
3. Have an ability to identify the needs of software test automation, and define and develop a test tool to support
test automation.
4. Have an ability understand and identify various software testing problems, and solve these problems by
designing and selecting software test models, criteria, strategies, and methods.
5. Have an ability to use various communication methods and skills to communicate with their teammates to
conduct their practice-oriented software testing projects.
6. Have basic understanding and knowledge of contemporary issues in software testing, such as component-
based software testing problems
7. Have an ability to use software testing methods and modern software testing tools for their testing projects.
Syllabus:
UNIT I:
Software Testing: Introduction, Evolution, Myths & Facts, Goals, Psychology, Definition, Model for testing,
Effective Vs Exhaustive Software Testing.
Software Testing Terminology and Methodology: Software Testing Terminology, Software Testing Life Cycle,
relating test life cycle to developmentlife cycle Software Testing Methodology.
UNIT II:
Verification and Validation: Verification & Validation Activities, Verification, Verification of Requirements, High
level and low level designs, How to verify code, Validation
Dynamic Testing I: Black Box testing techniques: Boundary Value Analysis, Equivalence class Testing, State
Table based testing, Decision table based testing, Cause-Effect Graphing based testing, Error guessing
UNIT III:
Dynamic Testing II: White-Box Testing: need, Logic coverage criteria, Basis path testing, Graph matrices, Loop
testing, data flow testing, mutation testing
Static Testing: inspections, Structured Walkthroughs, Technical reviews
UNIT IV:
Validation activities: Unit testing, Integration Testing,. Function testing, system testing, acceptance testing
Regression testing: Progressives Vs regressive testing, Regression testability, Objectives of regression testing, When
regression testing done?, Regression testing types, Regression testing techniques
UNIT V:
Efficient Test Suite Management: Test case deisgnWhy does a test suite grow, Minimizing the test suite and its
benefits, test suite prioritization, Types of test case prioritization, prioritization techniques, measuring the
effectiveness of a prioritized test suite
Software Quality Management: Software Quality metrics, SQA models
Debugging: process, techniques, correcting bugs, Basics of testing management tools, test link and Jira
UNIT VI:
Automation and Testing Tools: need for automation, categorization of testing tools, selection of testing tools, Cost
incurred, Guidelines for automated testing, overview of some commercial testing tools.
Testing Object Oriented Software: basics, Object oriented testing
Testing Web based Systems: Challenges in testing for web based software, quality aspects, web engineering, testing
of web based systems, Testing mobile systems
Text Books:
1. Software Testing, Principles and Practices, Naresh Chauhan, Oxford
2. Foundations of Software testing, Aditya P Mathur, 2ed, Pearson
3. Software Testing- Yogesh Singh, CAMBRIDGE
Reference books:
1. Software testing techniques - Baris Beizer, International Thomson computer press, second edition.
2. Software Testing, Principles, techniques and Tools, M G Limaye, TMH
3. Effective Methods for Software testing, Willian E Perry, 3ed, Wiley
Simulation Modeling
Course Objectives:
1. Introduce computer simulation technologies and techniques, provides the foundations for the student to
understand computer simulation needs, and to implement and test a variety of simulation and data analysis
libraries and programs. This course focusses what is needed to build simulation software environments, and
not just building simulations using preexisting packages.
2. Introduce concepts of modeling layers of society's critical infrastructure networks.
3. Build tools to view and control simulations and their results.
Course Outcomes:
1. provide a strong foundation on concept of simulation, and modeling.
2. understand the techniques of random number generations.
3. understand the techniques of testing randomness.
4. design simulation models for various case studies like inventory, traffic flow networks, etc.
5. practice on simulation tools and impart knowledge on building simulation systems.
Syllabus:
UNIT-I:
System models: Concepts, continuous and discrete systems, System modeling, types of models, subsystems, system
study.
UNIT-II:
System Simulation: Techniques, comparison of simulation and analytical methods, types of simulation, Distributed
log models, cobweb models.
UNIT-III:
Continuous system Simulation: Numerical solution of differential equations, Analog Computers, Hybrid Computers,
continuous system simulation languages CSMP, system dynamic growth models, logistic curves.
UNIT-IV:
Probability concepts in simulation: Monte Carlo techniques, stochastic variables, probability functions, Random
Number generation algorithms.
UNIT-V:
Queuing Theory: Arrival pattern distributions, servicing times, queuing disciplines, measure of queues,
mathematical solutions to queuing problems.
Discrete System Simulation: Events, generation of arrival patterns, simulation programming tasks, analysis of
simulation output.
UNIT-VI:
GPSS & SIMSCRIPT: general description of GPSS and SIMSCRIPT, programming in GPSS & SIMSCRIPT, Data
structures, Implementation of activities, events and queues, Event scanning, simulation algorithms in GPSS and
SIMSCRIPT.
TEXT BOOKS
1. Geoffrey Gordon, "System Simulation", 2nd Edition, Prentice Hall, India, 2002.
2. Narsingh Deo, "System Simulation with Digital Computer, "Prentice Hall, India, 2001.
REFERENCES
1. Jerry Banks and John S.Carson, Barry L. Nelson, David M.Nicol, "Discrete Event System Simulation", 3rd Edition,
Prentice Hall, India, 2002.
2. Shannon, R.E. Systems simulation, The art and science, Prentice Hall, 1975.
3. Thomas J. Schriber, Simulation using GPSS, John Wiley, 1991
Information Retrieval Systems
COURSE OBJECTIVES
?
To provide the foundation knowledge in information retrieval.
?
To equip students with sound skills to solve computational search problems.
?
To appreciate how to evaluate search engines.
?
To appreciate the different applications of information retrieval techniques in the Internet or Web
environment.
?
To provide hands-on experience in building search engines and/or hands-on experience in evaluating
search engines.
COURSE OUTCOMES
After completing the course student will be able to:
?
Identify basic theories in information retrieval systems
?
Identify the analysis tools as they apply to information retrieval systems
?
Understands the problems solved in current IR systems
?
Describes the advantages of current IR systems
?
Understand the difficulty of representing and retrieving documents.
?
Understand the latest technologies for linking, describing and searching the web.
?
Explain the concepts of indexing, vocabulary, normalization and dictionary in information retrieval.
?
Evaluate information retrieval algorithms, and give an account of the difficulties of evaluation
?
Use different information retrieval techniques in various application areas
?
Apply IR principles to locate relevant information large collections of data
?
Analyze performance of retrieval systems when dealing with unmanaged data sources
?
Implement retrieval systems for web search tasks.
?
Understand and apply the basic concepts of information retrieval;
?
Appreciate the limitations of different information retrieval techniques;
?
Write programs to implement search engines;
?
Evaluate search engines;
?
Develop skills in problem solving using systematic approaches;
?
Solve complex problems in groups and develop group work.
SYLLLABUS:
Unit I:
Introduction to Information Storage and Retrieval System: Introduction, Domain Analysis of IR
systems and other types of Information Systems, IR System Evaluation.
Introduction to Data Structures and Algorithms related to Information Retrieval: Basic Concepts, Data
structures, Algorithms
Unit II:
Inverted files: Introduction, Structures used in Inverted Files, Building Inverted file using a sorted array,
Modifications to Basic Techniques.
Unit III:
Signature Files: Introduction, Concepts of Signature Files, Compression, Vertical Partitioning, Horizontal
Partitioning.
Unit IV:
New Indices for Text: PAT Trees and PAT Arrays: Introduction, PAT Tree structure, algorithms on the
PAT Trees, Building PAT trees as PATRICA Trees, PAT representation as arrays.
Unit V:
Stemming Algorithms: Introduction, Types of Stemming Algorithms, Experimental Evaluations of
Stemming to Compress Inverted Files
Unit VI:
Thesaurus Construction: Introduction, Features of Thesauri, Thesaurus Construction, Thesaurus
construction from Texts, Merging existing Thesauri
TEXT BOOK :
1. Frakes, W.B., Ricardo Baeza-Yates: Information Retrieval Data Structures and Algorithms, Prentice Hall,
1992.
2. Modern Information Retrival By Yates Pearson Education.
3. Information Storage & Retieval By Robert Korfhage ? John Wiley & Sons.
REFERENCES :
1. Kowalski, Gerald, Mark T Maybury: Information Retrieval Systems: Theory and Implementation,
Kluwer Academic Press, 1997.
2. Information retrieval Algorithms and Heuristics, 2ed, Springer
Artificial Intelligence
Course Objectives:
1. To have a basic proficiency in a traditional AI language including an ability to write simple to intermediate
programs and an ability to understand code written in that language.
2. To have an understanding of the basic issues of knowledge representation and blind and heuristic search, as
well as an understanding of other topics such as minimax, resolution, etc. that play an important role in AI
programs.
3. To have a basic understanding of some of the more advanced topics of AI such as learning, natural language
processing, agents and robotics, expert systems, and planning
Course Outcomes:
After completing this course, students should be able to:
1. Identify problems that are amenable to solution by AI methods, and which AI methods may be suited to
solving a given problem.
2. Formalize a given problem in the language/framework of different AI methods (e.g., as a search problem, as a
constraint satisfaction problem, as a planning problem, as a Markov decision process, etc).
3. Implement basic AI algorithms (e.g., standard search algorithms or dynamic programming).
4. Design and carry out an empirical evaluation of different algorithms on a problem formalization, and state the
conclusions that the evaluation supports.
Syllabus:
UNIT-I:
Introduction to artificial intelligence: Introduction ,history, intelligent systems, foundations of AI,
applications, tic-tac-tie game playing, development of ai languages, current trends in AI
UNIT-II:
Problem solving: state-space search and control strategies : Introduction, general problem solving,
characteristics of problem, exhaustive searches, heuristic search techniques, iterative-deepening a*,
constraint satisfaction
Problem reduction and game playing: Introduction, problem reduction, game playing, alpha-beta pruning,
two-player perfect information games
UNIT-III:
Logic concepts: Introduction, propositional calculus, proportional logic, natural deduction system,
axiomatic system, semantic tableau system in proportional logic, resolution refutation in proportional logic,
predicate logic
UNIT-IV:
Knowledge representation: Introduction, approaches to knowledge representation, knowledge
representation using semantic network, extended semantic networks for KR, knowledge representation using
frames advanced knowledge representation techniques: Introduction, conceptual dependency theory,
script structure, cyc theory, case grammars, semantic web
UNIT-V:
Expert system and applications: Introduction phases in building expert systems, expert system versus
traditional systems, rule-based expert systems blackboard systems truth maintenance systems, application of
expert systems, list of shells and tools
UNIT-VI:
Uncertainty measure: probability theory: Introduction, probability theory, Bayesian belief networks,
certainty factor theory, dempster-shafer theory
Fuzzy sets and fuzzy logic: Introduction, fuzzy sets, fuzzy set operations, types of membership functions,
multi valued logic, fuzzy logic, linguistic variables and hedges, fuzzy propositions, inference rules for fuzzy
propositions, fuzzy systems.
TEXT BOOKS:
1. Artificial Intelligence- Saroj Kaushik, CENGAGE Learning,
2. Artificial intelligence, A modern Approach , 2nd ed, Stuart Russel, Peter Norvig, PEA
3. Artificial Intelligence- Rich, Kevin Knight, Shiv Shankar B Nair, 3rd ed, TMH
4. Introduction to Artificial Intelligence, Patterson, PHI
REFERNCE BOOKS:
1. Atificial intelligence, structures and Strategies for Complex problem solving, -George F Lugar, 5th
ed, PEA
2. Introduction to Artificial Intelligence, Ertel, Wolf Gang, Springer
3. Artificial Intelligence, A new Synthesis, Nils J Nilsson, Elsevier
Multimedia Computing
Course objectives:
To provide the foundation knowledge of multimedia computing, e.g. media
characteristics, compression standards, multimedia representation, data formats, multimedia technology development.
Course outcomes:
1.
understand the characteristics of different media; understand the representations of different multimedia data;
understand different data formats; be able to take into considerations in multimedia system designs;
2.
understand the characteristics of human's visual system; understand the characteristics of human's audio
system; be able to take into considerations in multimedia techniques design and implementation;
3.
understand different compression principles; understand different compression techniques; understand different
multimedia compression standards; be able to design and develop multimedia systems according to the
requirements of multimedia applications.
4.
program multimedia data and be able to design and implement media applications;
Syllabus:
UNIT?I:
Fundamental concepts in Text and Image: Multimedia and hypermedia, World Wide Web, overview of multimedia
software tools. Graphics and image data representation graphics/image data types, file formats, Color in image and
video: color science, color models in images, color models in video.
UNIT?II:
Fundamental concepts in video and digital audio: Types of video signals, analog video, digital video, digitization of
sound, MIDI, quantization and transmission of audio.
UNIT?III:
Multimedia data compression I: Lossless compression algorithm: Run-Length Coding, Variable Length Coding,
Dictionary Based Coding, Arithmetic Coding, Lossless Image Compression,
UNIT?IV:
Multimedia data compression II: Lossy compression algorithm: Quantization, Transform Coding, Wavelet-Based
Coding, Embedded Zerotree of Wavelet Coefficients Set Partitioning in Hierarchical Trees (SPIHT).
UNIT?V:
Basic Video Compression Techniques: Introduction to video compression, video compression based on motion
compensation, search for motion vectors, MPEG, Basic Audio Compression Techniques.
UNIT?VI:
Multimedia Networks: Basics of Multimedia Networks, Multimedia Network Communications and Applications:
Quality of Multimedia Data Transmission, Multimedia over IP, Multimedia over ATM Networks, Transport of
MPEG-4, Media-on-Demand (MOD).
TEXT BOOKS:
1. Fudamentals of Multimedia by Ze-Nian Li and Mark S. Drew Pearson Education.
REFERENCE BOOKS:
1. Digital Multimedia, Nigel chapman and jenny chapman, Wiley-Dreamtech
2. Macromedia Flash MX Professional 2004 Unleashed, Pearson.
3. Multimedia and communications Technology, Steve Heath, Elsevier (Focal Press).
4. Multimedia Applications, Steinmetz, Nahrstedt, Springer.
5. Multimedia Basics by Weixel Thomson
6. Multimedia Technology and Applications, David Hilman , Galgotia
IV BTech I Sem
High Performance Computing
Course Objectives:
This course covers the design of advanced modern computing systems. In particular, the design of modern
microprocessors, characteristics of the memory hierarchy, and issues involved in multi-threading and multi-processing
are discussed. The main objective of this course is to provide students with an understanding and appreciation of the
fundamental issues and tradeoffs involved in the design and evaluation of modern computers
Course Outcomes:
1. Understand the concepts and terminology of high performance computing.
2. Can write and analyze the behavior of high performance parallel programs for distributed memory
architectures (using MPI).
3. Can write and analyze the behavior of high performance parallel programs for shared memory
architectures (using Pthreads and OpenMP).
4. Can write simple programs for the GPU.
5. Can independently study, learn about, and present some aspect of high performance computing.
Syllabus:
UNIT I:
Introduction to Parallel hardware and software, need for high performance systems and Parallel Programming, SISD,
SIMD, MISD, MIMD models, Performance issues.
UNIT II:
Processors, PThreads, Thread Creation, Passing arguments to Thread function, Simple matrix multiplication using
Pthreads, critical sections, mutexes, semaphores, barriers and conditional variables, locks, thread safety, simple
programming assignments.
UNIT III:
OpenMP Programming: introduction, reduction clause, parallel for-loop scheduling, atomic directive, critical sections
and locks, private directive, Programming assignments, n body solvers using openMP.
UNIT IV:
Introduction to MPI programming: MPI primitives such as MPI_Send, MPI-Recv, MPI_Init, MPI-Finalize, etc.,
Application of MPI to Trepizoidal rule, Collective Communication primitives in MPI, MPI derived datatypes,
Performance evaluation of MPI programs, Parallel sorting algorithms, Tree search solved using MPI, Programming
Assignments.
UNIT V:
Introduction to GPU computing, Graphics pipelines, GPGPU, Data Parallelism and CUDA C Programming, CUDA
Threads Organization, Simple Matrix multiplication using CUDA, CUDA memories.
UNIT VI:
Bench Marking and Tools for High Performance Computing Environments, Numerical Linear Algebra Routines
BLAS for Parallel Systems evaluation.
Text Books:
1. An Introduction to Parallel Programming, Peter S Pacheco, Elsevier, 2011
2. Programming Massively Parallel Processors, Kirk & Hwu, Elsevier, 2012
Reference Books:
1. CUDA by example: An introduction to General Purpose GPU Programming, Jason, Sanders, Edward Kandrit,
Perason, 2011
2. CUDA Programming, Shame Cook, Elsevier
3. High Performance Heterogeneous Computing, Jack Dongarra, Alexey & Lastovetsky , Wiley
4. Parallel computing theory and practice, Michel J.Quinn, TMH
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Elective - II
Digital Forensics
Course Objectives:
This course is intended to provide students with greater depth of study in a number of key topics in the area of
computer security in society: cybercrime, computer and forensics, analysis
Course Outcomes:
1. Understand financial and accounting forensics, and explain their role in preventing various forms of fraud.
2. Distinguish various types of computer crime, and use computer forensic techniques to identify the digital
fingerprints associated with criminal activities
Syllabus:
Unit-I:
Computer Forensics and Investigations: Understanding Computer Forensics, Preparing for Computer
Investigations, Taking A Systematic Approach, Procedure for Corporate High-Tech Investigations, Understanding
Data Recovery Workstations and Software,
Investor's Office and Laboratory: Understanding Forensics Lab Certification Requirements, Determining the
Physical Requirements for a Computer Forensics Lab, Selecting a Basic Forensic Workstation
Unit-II:
Data Acquisition: Understanding Storage Formats for Digital Evidence, Determining the Best Acquisition Method,
Contingency Planning for Image Acquisitions, Using Acquisition Tools, Validating Data Acquisition, Performing
RAID Data Acquisition, Using Remote Network Acquisition Tools, Using Other Forensics Acquisition Tools
Unit-III:
Processing Crime and Incident Scenes: Identifying Digital Evidence, Collecting the Evidence in Private-Sector
Incident Scenes, Processing law Enforcement Crime Scenes, Preparing for a Search, Securing a Computer Incident or
Crime Scene, Sizing Digital evidence at the Scene, Storing Digital evidence, obtaining a Digital Hash.
Unit-IV:
Current Computer Forensics Tools: Evaluating Computer Forensics Toll Needs, Computer Forensics Software
Tools, Computer Forensics Hardware Tools, Validating and Testing Forensics Software
Computer Forensics Analysis and Validation: Determining What Data to Collect and Anlyze, Validating Forensic
Data, Addressing Data-Hiding Techniques, Performing Remote Acquisition
Unit-V:
Recovering Graphics and Network Forensics: Recognizing a Graphics File, Understanding Data Compression,
Locating and Recovering Graphics Files, Understanding Copyright Issues with Graphics, Network Forensic,
Developing Standard Procedure for Network Forensics, Using Network Tools, Examining Hiney Project
Unit-VI:
E-mail Investigations Cell Phone and Mobile Device Forensics: Exploring the Role of E-mail in Investigations,
Exploring the Role of Client and Server in E-mail, Investigating E-mail Crimes and Violations, Understanding E-mail
Servers, Using Specialized E-mail Forensics Tools, Understanding Mobile Device Forensics, Understanding
Acquisition Procedure for Cell Phones and Mobile Devoices
TEXT BOOK:
1. Nelson, Phillips Enfinger,Steuart, " Computer Forensics and Investigations, Cengage Learning
Hadoop and Big Data
Course Objectives:
?
Optimize business decisions and create competitive advantage with Big Data analytics
?
Introducing Java concepts required for developing map reduce programs
?
Derive business benefit from unstructured data
?
Imparting the architectural concepts of Hadoop and introducing map reduce paradigm
?
To introduce programming tools PIG & HIVE in Hadoop echo system.
Course Outcomes:
?
Preparing for data summarization, query, and analysis.
?
Applying data modelling techniques to large data sets
?
Creating applications for Big Data analytics
?
Building a complete business data analytic solution
Unit 1:
Data structures in Java: Linked List, Stacks, Queues, Sets, Maps; Generics: Generic classes and Type parameters, Implementing
Generic Types, Generic Methods, Wrapper Classes, Concept of Serialization
Reference:
Big Java 4th Edition, Cay Horstmann, Wiley John Wiley & Sons, INC
Unit 2:
Working with Big Data: Google File System, Hadoop Distributed File System (HDFS) ? Building blocks of Hadoop
(Namenode, Datanode, Secondary Namenode, JobTracker, TaskTracker), Introducing and Configuring Hadoop cluster (Local,
Pseudo-distributed mode, Fully Distributed mode), Configuring XML files.
References:
Hadoop: The Definitive Guide by Tom White, 3rd Edition, O'reilly
Hadoop in Action by Chuck Lam, MANNING Publ.
Unit 3:
Writing MapReduce Programs: A Weather Dataset, Understanding Hadoop API for MapReduce Framework (Old and New),
Basic programs of Hadoop MapReduce: Driver code, Mapper code, Reducer code, RecordReader, Combiner, Partitioner
Reference:
Hadoop: The Definitive Guide by Tom White, 3rd Edition, O'reilly
Unit 4:
Hadoop I/O: The Writable Interface, WritableComparable and comparators, Writable Classes: Writable wrappers for Java
primitives, Text, BytesWritable, NullWritable, ObjectWritable and GenericWritable, Writable collections, Implementing a
Custom Writable: Implementing a RawComparator for speed, Custom comparators
Reference:
Hadoop: The Definitive Guide by Tom White, 3rd Edition, O'reilly
Unit 5:
Pig: Hadoop Programming Made Easier
Admiring the Pig Architecture, Going with the Pig Latin Application Flow, Working through the ABCs of Pig Latin, Evaluating
Local and Distributed Modes of Running Pig Scripts, Checking out the Pig Script Interfaces, Scripting with Pig Latin
Reference:
Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk,Bruce Brown, Rafael Coss
Unit 6:
Applying Structure to Hadoop Data with Hive:
Saying Hello to Hive, Seeing How the Hive is Put Together, Getting Started with Apache Hive, Examining the Hive Clients,
Working with Hive Data Types, Creating and Managing Databases and Tables, Seeing How the Hive Data Manipulation
Language Works, Querying and Analyzing Data
References:
Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk,Bruce Brown, Rafael Coss
Text Books:
1. Big Java 4th Edition, Cay Horstmann, Wiley John Wiley & Sons, INC
2. Hadoop: The Definitive Guide by Tom White, 3rd Edition, O'reilly
3. Hadoop in Action by Chuck Lam, MANNING Publ.
4. Hadoop for Dummies by Dirk deRoos, Paul C.Zikopoulos, Roman B.Melnyk,Bruce Brown, Rafael Coss
References:
1. Hadoop in Practice by Alex Holmes, MANNING Publ.
2. Hadoop MapReduce Cookbook,Srinath Perera, Thilina Gunarathne
Software Links:
1.
Hadoop:http://hadoop.apache.org/
2.
Hive: https://cwiki.apache.org/confluence/display/Hive/Home
Piglatin: http://pig.apache.org/docs/r0.7.0/tutorial.html
Software Project Management
Course Objectives:
1. To study how to plan and manage projects at each stage of the software development life cycle (SDLC)
2. To train software project managers and other individuals involved in software project planning and tracking
and oversight in the implementation of the software project management process.
3. To understand successful software projects that support organization's strategic goals
Course Outcomes:
1. To match organizational needs to the most effective software development model
2. To understand the basic concepts and issues of software project management
3. To effectively Planning the software projects
4. To implement the project plans through managing people, communications and change
5. To select and employ mechanisms for tracking the software projects
6. To conduct activities necessary to successfully complete and close the Software projects
7. To develop the skills for tracking and controlling software deliverables
8. To create project plans that address real-world management challenges
Syllabus:
Unit I: Introduction
Project, Management, Software Project Management activities, Challenges in software projects, Stakeholders,
Objectives & goals
Project Planning: Step-wise planning, Project Scope, Project Products & deliverables, Project activities, Effort
estimation, Infrastructure
Unit II: Project Approach
Lifecycle models, Choosing Technology, Protoyping
Iterative & incremental Process Framework: Lifecycle phases, Process Artifacts, Process workflows (Book 2)
Unit III: Effort estimation & activity Planning
Estimation techniques, Function Point analysis, SLOC, COCOMO, Usecase-based estimation , Activity Identification
Approaches, Network planning models, Critical path analysis
Unit IV: Risk Management
Risk categories, Identification, Assessment, Planning and management, PERT technique, Monte Carlo approach
Unit V: Project Monitoring & Control , Resource Allocation
Creating a framework for monitoring & control, Progress monitoring, Cost monitoring, Earned value Analysis,
Defects Tracking, Issues Tracking, Status reports, Types of Resources, Identifying resource requirements, Resource
scheduling
Unit VI: Software Quality
Planning Quality, Defining Quality - ISO 9016, Quality Measures, Quantitative Quality Management Planning,
Product Quality & Process Quality
Metrics, Statistical Process Control Capability Maturity Model, Enhancing software Quality ( Book3)
Text Books:
1. Software Project Management, Bob Hughes & Mike Cotterell, TATA Mcgraw-Hill
2. Software Project Management, Walker Royce: Pearson Education, 2005.
3. Software Project Management in practice, Pankaj Jalote, Pearson.
Reference Book:
1. Software Project Management, Joel Henry, Pearson Education.
Machine Learning
Course objectives:
The main objective of this course is for the students to achieve basic knowledge of artificial intelligence, a
deepened technical understanding of machine learning research and theories, as well as practical experience of the use
and design of machine learning and data mining algorithms for applications and experiments. The course has a strong
focus towards applied IT. The student not only learns how to critically review and compare different algorithms and
methods, but how to plan, design, and implement learning components and applications and how to conduct machine
learning experiments.
Course outcomes:
? The student will be able evaluate and compare the performance or, other qualities, of algorithms for
typical learning problems.
? The student will be able to design a supervised or unsupervised learning system.
Syllabus:
UNIT I: Introduction :
Well-posed learning problems, Designing a learning system, Perspectives and issues in machine learning. Concept
learning and the general to specific ordering ? Introduction, A concept learning task, Concept learning as search, Find-
S: finding a maximally specific hypothesis, Version spaces and the candidate elimination algorithm, Remarks on
version spaces and candidate elimination, Inductive bias.
UNIT II: Linear Regression & Logistic Regression:
Predicting numeric values: regression - Finding the best fit lines with linear regression, Locally weighted linear
regression, Shrinking Coefficients, The bias / Variance tradeoff.
Logistic Regression: Classification with logistic regression and the sigmoid function, Using optimization to find the
best regression coefficients.
UNIT III: Artificial Neural Networks:
Introduction, Neural network representation, Appropriate problems for neural network learning, Perceptions,
Multilayer networks and the back propagation algorithm, Remarks on the back propagation algorithm, An illustrative
example face recognition, Advanced topics in artificial neural networks
UNIT IV: Evaluation Hypotheses: Motivation, Estimation hypothesis accuracy, Basics of sampling theory, A
general approach for deriving confidence intervals, Difference in error of two hypotheses, Comparing learning
algorithms.
UNIT V: Support vector machines & Dimensionality Reduction techniques:
Separating data with the maximum margin, finding the maximum margin, efficient optimization with SMO algorithm,
speeding up optimization with full platt SMO, Using Kernels for more Complex data.
Dimensionality Reduction techniques: Principal Component analysis, Example.
UNIT VI:
Instance-Based Learning- Introduction, k -Nearest Neighbor Learning, Locally Weighted Regression, Radial Basis
Functions, Case-Based Reasoning, Remarks on Lazy and Eager Learning.
Genetic Algorithms: Representing Hypotheses, Genetic Operators, Fitness Function and Selection, Illustrative
Example.
TEXT BOOKS:
1.
Machine Learning ,Tom M. Mitchell, MGH
2. Machine Learning in Action, Peter Harington, 2012, Cengage.`
REFERENCE BOOKS:
1. Introduction to Machine Learning, Ethem Alpaydin, PHI, 2004
Advanced Databases
Course Objectives:
1. Be able to design high-quality relational databases and database applications.
2. Have developed skills in advanced visual& conceptual modeling and database design.
3. Be able to translate complex conceptual data models into logical and physical data
4. Base designs.
5. Have developed an appreciation of emergingdatabase trends as theyapplyto semi-structured data, the
internet,andobject-oriented databases
Course Outcomes:
1. Identify, describe, and categorize database objects
2. Design and implement advanced queries using Structured Query Language
3. Design, construct and maintain a database and various database objects using procedural language constructs,
forms and reports to solve problems
4. Administer a database by recommending and implementing procedures including database tuning, backup and
recovery
5. Propose, implement and maintain database security mechanisms
6. Explore non-relational database systems and structures
Syllabus:
UNIT ? I :
Algorithms for Query Processing and Optimization:Translating SQL queries into relational algebra-
algorithms for external sorting-algorithms for select and join operations-algorithms for project and set
operations-implementing aggregate operations and outer joins-combining operations using pipelining-using
heuristics in query optimization.
UNIT ?II:
Data base systems architecture and the system Catalog:System architectures for DBMSs, Catalogs for
Relational DBMSs, System catalog information in oracle.
Practical database design and tuning:Physical Database Design in Relational Databases-an overview of
Database Tuning in Relational systems.
UNIT ? III:
Distributed DBMS Concepts and Design:Introduction-function and architecture of a Distributed DBMS-
Distributed Relational Database Design-transparencies in a Distributed DBMS-Date's Twelve Rules for
Distributed DBMS.
Distributed DBMS-Advanced Concepts:Distributed Transaction Management-Distributed Concurrency
Control-Distributed Deadlock Management-Distributed Database Recovery-The X/Open Distributed
Transaction processing model-Replication Servers.
UNIT ? IV:
Introduction to Object DBMSs:Advanced Database Applications-Weaknesses of RDBMSs-Object
oriented Concepts-Storing objects in a Relational Database-Next generation Database systems.
Object-Oriented DBMSs-Concepts and Design :Introduction to Object-Oriented Data Models and
DBMSs-OODBMS perspectives-Persistence-Issues in OODBMSs-The object Oriented Database System
Manifesto-Advantages and Disadvantages of OODBMSs-Object oriented Database Design.
UNIT V:
Object-Oriented DBMSs-Standards and Systems:Object management group-Object Database Standard
ODMG3.0, 1999-Object store.
Object relational DBMSs:Introduction to Object-relational Database systems- third generation Database
manifesto-Postgres-an early ORDBMS-SQL3.
UNIT ? VI :
Emerging database technologies and applications: Hadoop, BIg Data characteristics, NO SQL databases,
BASE, Brewer's theorem, Relationship between CAP, ACID and No SQL databases, comparison with
Relational databases, No SQL databases types, Comparative study of NoSQL products, Case studies using
MangoDB and Cassandra
TEXT BOOK:
1. "Fundamentals of Database Systems", ElmasriNavate, 5/e, Pearson Education.
2. Principles of distributed databases S Ceri and Palgettgi TMH
3. Getting started with No SQL Databases , Gaurav Vaish
REFERENCES BOOKS:
1. "Principles of Distributed Database Systems", Ozsu, 2/e, PHI.
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2
UML & Design Patterns Lab
(Textbook no.2 i.e. Object-Oriented Analysis & Design with the Unified Process by Satzinger, Jackson & Burd
Cengage Learning will be the primary source for finding templates for developing different artifacts / diagrams)
Take three case studies:
?
Customer Support System (in the Object-Oriented Analysis & Design with the Unified Process by
Satzinger, Jackson & Burd Cengage Learning )
?
Point-Of-Sale Terminal (in Larman textbook)
?
Library Management System (in the reference book no. 2 i.e. UML toolkit)
Week 1:
Familiarization with Rational Rose or Umbrello
For each case study:
Week 2, 3 & 4:
For each case study:
a) Identify and analyze events
b) Identify Use cases
c) Develop event table
d) Identify & analyze domain classes
e) Represent use cases and a domain class diagram using Rational Rose
f) Develop CRUD matrix to represent relationships between use cases and problem domain classes
Week 5 & 6:
For each case study:
a) Develop Use case diagrams
b) Develop elaborate Use case descriptions & scenarios
c) Develop prototypes (without functionality)
d) Develop system sequence diagrams
Week 7, 8, 9 & 10:
For each case study:
a) Develop high-level sequence diagrams for each use case
b) Identify MVC classes / objects for each use case
c) Develop Detailed Sequence Diagrams / Communication diagrams for each use case showing interactions among all
the three-layer objects
d) Develop detailed design class model (use GRASP patterns for responsibility assignment)
e) Develop three-layer package diagrams for each case study
Week 11 & 12:
For each case study:
a) Develop Use case Packages
b) Develop component diagrams
c) Identify relationships between use cases and represent them
d) Refine domain class model by showing all the associations among classes
Week 13 onwards:
For each case study:
a) Develop sample diagrams for other UML diagrams - state chart diagrams, activity diagrams and deployment
diagrams
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Mobile Application Development Lab
1. Write a J2ME program to show how to change the font size and colour.
2. Write a J2ME program which creates the following kind of menu.
* cut
* copy
* past
* delete
* select all
* unselect all
3. Create a J2ME menu which has the following options (Event Handling):
? cut - can be on/off
? copy - can be on/off
? paste - can be on/off
? delete - can be on/off
? select all - put all 4 options on
? unselect all - put all
4. Create a MIDP application, which draws a bar graph to the display. Data values can be given at int[]
array. You can enter four data (integer) values to the input text field.
5. Create an MIDP application which examine, that a phone number, which a user has entered is in the given
format (Input checking):
* Area code should be one of the following: 040, 041, 050, 0400, 044
* There should 6-8 numbers in telephone number (+ area code)
6. Write a sample program to show how to make a SOCKET Connection from J2ME phone. This J2ME
sample program shows how to how to make a SOCKET Connection from a J2ME Phone. Many a times
there is a need to connect backend HTTP server from the J2ME application. Show how to make a SOCKET
connection from the phone to port 80.
7. Login to HTTP Server from a J2ME Program. This J2ME sample program shows how to display a simple
LOGIN SCREEN on the J2ME phone and how to authenticate to a HTTP server. Many J2ME applications
for security reasons require the authentication of the user. This free J2ME sample program, shows how a
J2ME application can do authentication to the backend server. Note: Use Apache Tomcat Server as Web
Server and MySQL as Database Server.
8. The following should be carried out with respect to the given set of application domains: (Assume that the
Server is connected to the well-maintained database of the given domain. Mobile Client is to be connected to
the Server and fetch the required data value/information)
? Students Marks Enquiry
? Town/City Movie Enquiry
? Railway/Road/Air (For example PNR) Enquiry/Status
? Sports (say, Cricket) Update
? Town/City Weather Update
? Public Exams (say Intermediate or SSC)/ Entrance (Say EAMCET) Results Enquiry
Divide Student into Batches and suggest them to design database according to their domains and render
information according the requests.
9. Write an Android application program that displays Hello World using Terminal.
10. Write an Android application program that displays Hello World using Eclipse.
11. Write an Android application program that accepts a name from the user and displays the hello name to
the user in response as output using Eclipse.
12. Write an Android application program that demonstrates the following:
(i) LinearLayout
(ii) RelativeLayout
(iii) TableLayout
(iv) GridView layout
13. Write an Android application program that converts the temperature in Celsius to Fahrenheit.
14. Write an Android application program that demonstrates intent in mobile application development.
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Software Testing Lab
Lab Assignments
Problem Statement 01
Consider an automated banking application. The user can dial the bank from a personal computer, provide a six-digit
password, and follow with a series of keyword commands that activate the banking function. The software for the
application accepts data in the following form:
Area Code
Blank or three-digit number
Prefix
Three-digit number, not beginning with 0 or 1
Suffix
Four-digit number
Password
Six-character alphanumeric
Commands
"Check status", "Deposit", "Withdrawal"
Design adhoc test cases to test the system
Problem Statement 02
Consider an automated banking application. The user can dial the bank from a personal computer, provide a six-digit
password, and follow with a series of keyword commands that activate the banking function. The software for the
application accepts data in the following form:
Area Code
Blank or three-digit number
Prefix
Three-digit number, not beginning with 0 or 1
Suffix
Four-digit number
Password
Six-character alphanumeric
Commands
"Check status", "Deposit", "Withdrawal"
Design the test cases to test the system using following Black Box testing technique:
BVA, Worst BVA, Robust BVA, Robust Worst BVA
Equivalence class testing (Input/Output domain)
Problem Statement 03
Consider an application that is required to validate a number according to the following simple rules:
1. A number can start with an optional sign.
2. The optional sign can be followed by any number of digits.
3. The digits can be optionally followed by a decimal point, represented by a period.
4. If there is a decimal point, then there should be two digits after the decimal.
5. Any number-whether or not it has a decimal point, should be terminated a blank.
6. A number can start with an optional sign.
7. The optional sign can be followed by any number of digits.
8. The digits can be optionally followed by a decimal point, represented by a period.
9. If there is a decimal point, then there should be two digits after the decimal.
10. Any number-whether or not it has a decimal point, should be terminated a blank. Generate test cases to test valid
and invalid numbers.
(HINT) Use Decision table and cause-effect graph to generate test cases.
Problem Statement 04
Generate test cases using Black box testing technique to Calculate Standard Deduction on Taxable Income. The
standard deduction is higher for tax payers who are 65 or older or blind. Use the method given below to calculate tax.
1. The first factor that determines the standard deduction is the filing status. The basic standard deduction for the
various filing status are:
Single
$4,750
Married, filing a joint return
$9,500
Married, filing a separate return
$7,000
2. If a married couple is filing separate returns and one spouse is not taking standard
Deduction, the other spouse also is not eligible for standard deduction.
3. An additional $1,000 is allowed as standard deduction, if either the filer is 65 yrs or the spouse is 65 yrs or older
(the latter case applicable when the filing status is "Married" and filing "joint").
4. An additional $1,000 is allowed as standard deduction, if either the filer is blind or the spouse is blind (the latter
case applicable when the filing status is
"married" and filing "joint").
(HINT):
From the above description, it is clear that the calculation of standard deduction depends on the following 3 factors:
1. Status of filing of the filer
2. Age of the filer
3. Whether the filer is blind or not
In addition, in certain cases, the following additional factors also come into play in calculating the standard deduction.
1. Whether spouse has claimed standard deduction
2. Whether spouse is blind
3. Whether the spouse is more than 65 years old
Problem Statement 05
Consider the following program segment:
1. int max (int i, int j, int k)
2. {
3. int max;
4. if (i>j) then
5. if (i>k) then max=i;
6. else max=k;
7. else if (j > k) max=j
8. else max=k
9. return (max);
10. }
a) Draw the control flow graph for this program segment
b) Determine the cyclomatic complexity for this program
c) Determine the independent paths
Problem Statement 06
Source code of simple insertion sort implementation using array in ascending order in c programming
language
#include<stdio.h>
int main(){
int i,j,s,temp,a[20];
Printf ("Enter total elements: "); Scanf ("%d",&s);
printf("Enter %d elements: ",s); for(i=0;i<s;i++) scanf("%d",&a[i]); for(i=1;i<s;i++){
temp=a[i]; j=i-1; while((temp<a[j])&&(j>=0)){ a[j+1]=a[j];
j=j-1;
}
a[j+1]=temp;
}
printf("After sorting: ");
for(i=0;i<s;i++)
printf(" %d",a[i]);
return 0;
}
HINT: for loop is represented as while loop
a) Draw the program graph for given program segment b) Determine the DD path graph
c) Determine the independent paths
d) Generate the test cases for each independent path
Problem Statement 07
Consider a system having an FSM for a stack having the following states and transitions:
States
Initial: Before creation
Empty: Number of elements = 0
Holding: Number of elements > 0, but less than the maximum capacity
Full: Number elements = maximum
Final: After destruction
Initial to Empty: Create
Empty to Holding, Empty to Full, Holding to Holding, Holding to Full: Add
Empty to Final, Full to Final, Holding to Final: Destroy
Holding to Empty, Full to Holding, Full to Empty: Delete
Design test cases for this FSM using state table-based testing.
Problem Statement 08
Given the following fragment of code, how many tests are required for 100% decision coverage? Give the test cases.
if width > length
then biggest_dimension = width if height > width
then biggest dimension = height end_if
else if biggest dimension = length then if height > length
then biggest_dimension = height end_if
end_if end_if
Hint 04 test cases
Problem Statement 09
Given the following code, how much minimum number of test cases is required for full statement and branch
coverage?
read p read q
if p+q> 100
then print "Large" endif
if p > 50
then print "p Large" endif
Hint 1 test for statement coverage, 2 for branch coverage
Problem Statement 10
Consider a program to input two numbers and print them in ascending order given below. Find all du paths and
identify those du-paths that are not feasible. Also find all dc paths and generate the test cases for all paths (dc paths and
non dc paths).
#include<stdio.h>
#include<conio.h>
1. void main ()
2. {
3 int a, b, t;
4. Clrscr ();
5. Printf ("Enter first number");
6. scanf ("%d",&a);
7. printf("Enter second number");
8. scanf("%d",&b);
9. if (a<b){
10. t=a;
11a=b;
12 b=t;
13}
14. printf ("%d %d", a, b);
15 getch ();
}
Problem Statement 11
Consider the above program and generate possible program slices for all variables. Design at least one test case from
every slice.
Problem Statement 12
Consider the code to arrange the nos. in ascending order. Generate the test cases for relational coverage, loop coverage
and path testing. Check the adequacy of the test cases through mutation testing and also compute the mutation score
for each.
i = 0;
n=4; //N-Number of nodes present in the graph
While (i<n-1) do j = i + 1;
While (j<n) do
if A[i]<A[j] then swap (A[i], A[j]); end do;
i=i+1;
end do
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Hadoop & BigData Lab
Week 1,2:
1. Implement the following Data structures in Java
a)Linked Lists b) Stacks c) Queues d) Set e) Map
Week 3, 4:
2. (i)Perform setting up and Installing Hadoop in its three operating modes:
Standalone,
Pseudo distributed,
Fully distributed
(ii)Use web based tools to monitor your Hadoop setup.
Week 5:
3. Implement the following file management tasks in Hadoop:
? Adding files and directories
? Retrieving files
? Deleting files
Hint: A typical Hadoop workflow creates data files (such as log files) elsewhere and copies them
into HDFS using one of the above command line utilities.
Week 6:
4. Run a basic Word Count Map Reduce program to understand Map Reduce Paradigm.
Week 7:
5. Write a Map Reduce program that mines weather data.
Weather sensors collecting data every hour at many locations across the globe gather a
large volume of log data, which is a good candidate for analysis with MapReduce, since
it is semi structured and record-oriented.
Week 8:
6. Implement Matrix Multiplication with Hadoop Map Reduce
Week 9,10:
7. Install and Run Pig then write Pig Latin scripts to sort, group, join, project, and filter your
data.
Week 11,12:
8. Install and Run Hive then use Hive to create, alter, and drop databases, tables, views,
functions, and indexes
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Elective - III
Human Computer Interaction
Course Objectives:
The main objective is to get student to think constructively and analytically about how to design and evaluate
interactive technologies.
Course Outcomes:
1. Explain the capabilities of both humans and computers from the viewpoint of human information processing.
2. Describe typical human?computer interaction (HCI) models, styles, and various historic HCI paradigms.
3. Apply an interactive design process and universal design principles to designing HCI systems.
4. Describe and use HCI design principles, standards and guidelines.
5. Analyze and identify user models, user support, socio-organizational issues, and stakeholder requirements of
HCI systems.
6. Discuss tasks and dialogs of relevant HCI systems based on task analysis and dialog design.
Syllabus:
UNIT I:
Introduction: Usability of Interactive Systems- introduction, usability goals and measures, usability motivations,
universal usability, goals for our profession
Managing Design Processes: Introduction, Organizational design to support usability, Four pillars of design,
development methodologies, Ethnographic observation, Participatory design, Scenario Development, Social impact
statement for early design review, legal issues, Usability Testing and Laboratories
UNIT II:
Menu Selection, Form Fill-In and Dialog Boxes: Introduction, Task- Related Menu Organization, Single menus,
Combinations of Multiple Menus, Content Organization, Fast Movement Through Menus, Data entry with Menus:
Form Fill-in, dialog Boxes, and alternatives, Audio Menus and menus for Small Displays
UNIT III:
Command and Natural Languages: Introduction, Command organization Functionality, Strategies and Structure,
Naming and Abbreviations, Natural Language in Computing
Interaction Devices: Introduction, Keyboards and Keypads, Pointing Devices, Speech and Auditory Interfaces,
Displays- Small and large
UNIT IV:
Quality of Service: Introduction, Models of Response-Time impacts, Expectations and attitudes, User Productivity,
Variability in Response Time, Frustrating Experiences
Balancing Function and Fashion: Introduction, Error Messages, Nonanthropomorphic Design, Display Design, Web
Page Design, Window Design, Color
UNIT V:
User Documentation and Online Help: Introduction, Online Vs Paper Documentation, Reading from paper Vs from
Displays, Shaping the content of the Documentation, Accessing the Documentation, Online tutorials and animated
documentation, Online communities for User Assistance, The Development Process
UNIT VI:
Information Search: Introduction, Searching in Textual Documents and Database Querying, Multimedia Document
Searches, Advanced Filtering and Searching Interfaces
Information Visualization: Introduction, Data Type by Task Taxonomy, Challenges for Information Visualization
Text Books:
1. Designing the User Interface, Strategies for Effective Human Computer Interaction, 5ed, Ben Shneiderman,
Catherine Plaisant, Maxine Cohen, Steven M Jacobs, Pearson
2. The Essential guide to user interface design,2/e, Wilbert O Galitz, Wiley DreamaTech.
Reference Books:
1. Human Computer, Interaction Dan R.Olsan, Cengage ,2010.
2. Designing the user interface. 4/e, Ben Shneidermann , PEA.
3. User Interface Design, Soren Lauesen , PEA.
4. Interaction Design PRECE, ROGERS, SHARPS, Wiley.
Advanced Operating Systems
Course Objectives:
The aim of this module is to study, learn, and understand the main concepts of advanced operating systems (parallel
processing systems, distributed systems, real time systems, network operating systems, and open source operating
systems); Hardware and software features that support these systems.
Course Outcomes:
1. Outline the potential benefits of distributed systems
2. Summarize the major security issues associated with distributed systems along with the
3. range of techniques available for increasing system security
Syllabus:
UNIT?I:
Introduction to Distributed systems: Goals of distributed system, hardware and software concepts, design issues.
Communication in Distributed systems: Layered protocols, ATM networks, the Client - Server model, remote
procedure call and group communication.
UNIT?II:
Synchronization in Distributed systems: Clock synchronization, Mutual exclusion, E-tech algorithms, the Bully
algorithm, a ring algorithm, atomic transactions,
UNIT-III:
Deadlocks: deadlock in distributed systems, Distributed deadlock prevention, and distributed dead lock detection.
UNIT?IV:
Processes: Processes and Processors in distributed systems: Threads, system models, Processor allocation, Scheduling
in distributed system, Fault tolerance and real time distributed systems.
UNIT-V:
Distributed file systems: Distributed file systems design, distributed file system implementation, trends in distributed
file systems.
Distributed shared memory : What is shared memory, consistency models, page based distributed shared
memory, shared variable distributed shared memory, object based DSM.
UNIT-VI:
Case study MACH : Introduction to MACH, process management in MACH, memory management in MACH,
communication in MACH, UNIX emulation in MACH. Case study DCE : Introduction to DCE threads, RPC's, Time
service, Directory service, security service, Distributed file system.
TEXT BOOKS:
1. Distributed Operating System - Andrew. S. Tanenbaum, PHI
2. Operating Systems' ? Internal and Design Principles Stallings, Fifth Edition?2005, Pearson education/PHI
REFERENCE BOOKS:
1. Operating System Principles- Abraham Silberchatz, Peter B. Galvin, Greg Gagne
7th Edition, John Wiley.
2. Modern Operating Systems, Andrew S Tanenbaum 2nd edition Pearson/PHI
Mobile Adhoc & Sensor Networks
Course Objectives:
1) To make the student understand the concepts of MOBILE AD HOC NETWORKS (Manets) as well as Wireless
Sensor Networks (WSN), their characteristics, novel applications, and technical challenges.
2) To understand the issues and solutions of various layers of Manets, namely MAC layer, Network Layer &
Transport Layer in Manets and WSN.
3) To understand the platforms and protocols used in Manets and WSN.
4) To make the student take up further research as part of his higher studies
Course Outcomes:
1) Able to think and develop new applications in Manets and WSN.
2) Able to take any new technical issue related to these new thrust areas and come up with a solution(s).
3) Able to develop algorithms/protocols for Manets and WSN.
Syllabus:
UNIT I :
Introduction to Ad Hoc Networks: Characteristics of MANETs, applications of MANETs, and challenges of
MANETs.
Routing in MANETs: Criteria for classification, Taxonomy of MANET routing algorithms, Topology based routing
algorithms, Position based routing algorithms,
UNIT II:
Data Transmission: Broadcast storm problem, Broadcasting, Multicasting and Geocasting
UNIT III:
TCP over Ad Hoc: TCP protocol overview, TCP and MANETs, and Solutions for TCP over Ad hoc
UNIT IV:
Basics of Wireless Sensors and Applications: Applications, Classification of sensor networks, Architecture of sensor
networks, Physical layer, MAC layer, Link layer
UNIT V :
Data Retrieval in Sensor Networks: Routing layer, Transport layer, High-level application layer support, Adapting to
the inherent dynamic nature of WSNs, and Sensor Networks and mobile robots.
UNIT VI :
Security: Security in ad hoc networks, Key management, Secure routing, Cooperation in MANETs, and Intrusion
detection systems.
Sensor Network Platforms and Tools: Sensor Network Hardware, Berkeley motes, Sensor Network Programming
Challenges, Node-Level Software Platforms, TinyOS, NS-2 and TOSSIM.
Textbook:
1. Ad hoc and Sensor Networks - Theory and Applications, by Carlos Cordeiro and Dharma P. Agrawal, World
Scientific Publications, March 2006, ISBN 981-256-681-3.
2. Wireless Sensor Networks: An Information Processing Approach, Feng Zhao, Leonidas Guibas, Elsevier
Science ISBN: 978-1-55860-914-3,
(Morgan Kauffman)
Pattern Recognition
Course Objectives:
The course is designed to introduce students to theoretical concepts and practical
issues associated with pattern recognition
Course Outcomes:
1. Design systems and algorithms for pattern recognition (signal classification), with focus on sequences of
patterns that are analyzed using, e.g., hidden Markov models (HMM),
2. Analyse classification problems probabilistically and estimate classifier performance,
3. Understand and analyse methods for automatic training of classification systems,
4. Apply Maximum-likelihood parameter estimation in relatively complex probabilistic models, such as mixture
density models and hidden Markov models,
5. Understand the principles of Bayesian parameter estimation and apply them in relatively simple probabilistic
models
Syllabus:
UNIT-I:
Introduction: Machine perception, pattern recognition example, pattern recognition systems, the Design cycle,
learning and adaptation
Bayesian Decision Theory: Introduction, continuous features ? two categories classifications, minimum error-rate
classification-zero?one loss function, classifiers, discriminant functions, and decision surfaces
UNIT-II:
Normal density: Univariate and multivariate density, discriminant functions for the normal Density different cases,
Bayes decision theory ? discrete features, compound Bayesian decision theory and context
UNIT-III :
Maximum likelihood and Bayesian parameter estimation: Introduction, maximum likelihood Estimation, Bayesian
estimation, Bayesian parameter estimation?Gaussian case
UNIT-IV :
Un-supervised learning and clustering: Introduction, mixture densities and identifiability, maximum likelihood
estimates, application to normal mixtures, K-means clustering. Date description and clustering ? similarity measures,
criteria function for clustering
UNIT-V :
Pattern recognition using discrete hidden Markov models: Discrete-time Markov process, Extensions to hidden
Markov models, three basic problems of HMMs, types of HMMs
UNIT-VI :
Continuous hidden Markov models :
Continuous observation densities, multiple mixtures per state, speech recognition applications.
Text Books:
1. Pattern classifications, Richard O. Duda, Peter E. Hart, David G. Stroke. Wiley student edition, Second Edition.
2. Pattern Recognition, An Introduction, V Susheela Devi, M Narsimha Murthy, Universiy Press
Reference Books:
1. R.C Gonzalez and R.E. Woods, "Digital Image Processing", Addison Wesley, 1992.
2.Pattern Recognition and Image Analysis ? Earl Gose, Richard John baugh, Steve Jost PHI 2004
3. Fundamentals of speech Recognition, Lawerence Rabiner, Biing ? Hwang Juang Pearson education.
4. Pattern Recognition, Sergios Theodoridis, Konstantinos Koutroumbas, Academic Press, Elsevier, 4ed,
Digital Image Processing
Course Objectives:
To make the students to understand
1. The fundamentals of Computer Graphics and Image Processing
2. The concepts related edge detection, segmentation, morphology and image compression methods.
Course Outcomes:
1. understanding of digital image processing fundamentals: hardware and software, digitization, enhancement
and restoration, encoding, segmentation, feature detection
2. ability to apply image processing techniques in both the spatial and frequency (Fourier) domains
3. Ability To understand (i.e., be able to describe, analyse and reason about) how digital images are represented,
manipulated, encoded and processed, with emphasis on algorithm design, implementation and performance
evaluation
SYLLABUS:
UNIT I:
Introduction: Applications of Computer Graphics and Image Processing, Fundamentals on Pixel concepts, effect of
Aliasing and Jaggles, Advantages of high resolution systems
DDA line algorithms: Bresenhams line and circle derivations and algorithms
UNIT II:
2-D Transformations: Translations, Scaling, rotation, reflection and shear transformations, Homogeneous
coordinates, Composite Transformations- Reflection about an arbitrary line; Windowing and clipping, viewing
transformations, Cohen- Sutherland clipping algorithm
UNIT III:
Digital Image Properties: Metric and topological properties of Digital Images, Histogram, entropy, Visual
Perception, Image Quality, Color perceived by humans, Color Spaces, Palette Images, color Constancy
Color Images: Pixel brightness transformations, Local Preprocessing, image smoothing, Edge detectors, Robert
Operators, Laplace, Prewitt, Sobel, Fri-chen, Canny Edge detection
UNIT IV:
Mathematical Morphology: Basic Mathematical Concepts, Binary dilation and Erosion, Opening and closing, Gray
Scale dilation and erosion, Skeleton, Thinning , Thickening Ultimate erosion, Geodesic transformations, Morphology
and reconstruction, Morphological Segmentation
UNIT V:
SEGMENTATION: Threshold detection methods, Optimal Thresholding, Edge based Segmentation-Edge image
thresholding, Edge relaxation, Border tracing, Hough Transforms, Region based segmentation: Region Mergingm
Region Splitting, Splitting and Merging, Watershed Segmentation.
UNIT VI:
Image Data Compression: Image data Properties, Discrete Image Transformations in data compression, Discrete
Cosine and Wavelet Transforms, Types of DWT and merits; Predicative Compression methods, Hierarchical and
Progressive Compression methods, Comparison of Compression methods, JPEG- MPEG Image Compression
methods.
Text Books:
1. Computer Graphics C Version, Donald Hearn, M Paulli Baker , Pearson ( Uniit I and Unit II)
2. Image Processing, Analysis and Machine Vision, Millan Sonka, Vaclov Halvoc, Roger Boyle, Cengage
Learning, 3ed, ( Unit III, Unit IV, Unit V and Unit VI)
References:
1. Computer & Machine Vision, Theory , Algorithms , Practicles, E R Davies, Elsevier, 4ed
2. Digital Image Processing with MATLAB and LABVIEW, Vipul Singh, Elsevier
3. Digital Image Processing, R C Gonzalez &R E woods, Addison Pearson, 3ed.
Microprocessors and Multi core systems
Course objectives:
The objective of this course is to provide extensive knowledge of microprocessor based systems. The student will
?
learn how the hardware and software components of a microprocessor-based system work together to
implement system-level features;
?
learn both hardware and software aspects of integrating digital devices (such as memory and I/O interfaces)
into microprocessor-based systems;
Course Outcomes:
1. able to solve basic binary math operations using the microprocessor.
2. able to demonstrate programming proficiency using the various addressing modes and data transfer
instructions of the target microprocessor.
3. able to program using the capabilities of the stack, the program counter, and the status register and show how
these are used to execute a machine code program.
4. able to apply knowledge of the microprocessor's internal registers and operations by use of a PC based
microprocessor simulator.
5. able to write assemble assembly language programs, assemble into machine a cross assembler utility and
download and run their program on the training boards.
Syllabus:
UNIT-I:
overview of microcomputer structure and operation., execution of a three instruction program, microprocessor
evolution and types, the 8086 micro processor family , 8086 internal architecture , introduction to programming the
8086,
8086 family assembly language programming :Program development steps , constructing the machine codes for
8086 instructions, writing programs for use with an assembler, assembly language program development tools.
( Text Book 1)
UNIT-II:
Implementing standard program structures in 8086 assembly language
Simple sequence programs, jumps, flags and conditional jumps, if-then, if-then-else and multiple if-then-else
programs, while-do programs, repeat-until programs, instruction timing and delay loops.
( Text Book 1)
UNIT-III:
Strings, procedures and macros
The 8086 string instructions, writing and using procedures, writing and using assembler
macros.
8086 instruction descriptions and assembler directives
Instruction descriptions, assembler directives , DB, DD, DQ, DT, DW, end-program, endp, ends, equ ,even-align on
even memory address, extrn , global, public / extrn, group, include, label, length- not implemented IBM MASM, name
? off set, ORG, proc, ptr, segment, short, type
( Text Book 1)
UNIT-IV:
8086: 8086 interrupts and interrupt applications
8086 interrupts and interrupt responses, hardware interrupt applications, Software Interrupts, priority of interrupts,
software interrupt applications, programming.
8086 assembly language programmes - Bit & Logic operations, strings, procedures, Macros, Number Format,
Conversions, ASCII operations, signed Numbers Arithmetic, Programming using High level language constructs.
( Text Book 1)
UNIT-V:
CPU: architecture of Intel 80286 CPU, Intel 80386, and 32-bit CPU- 80486-Microprocessor( No instruction set).( Text
Book 2)
UNIT-VI:
The Pentium Family and Core 2 Microprocessors:
Introduction to the Pentium Processor, Pentium II Microprocessor, Pentium III, Pentium IV and Core2 Processors.(
Text Book 2)
TEXT BOOKS:
1.
Microprocessors and Interfacing, Douglas V Hall, Revised 2nd ed, TMH
2.
The Intel Microprocessors, Architecture, programming and interfacing, 8ed, Barry Bray, Pearson
3.
The X86 Microprocessors, architecture, Programming and Interfacing(8086 to Pentium), Lyla B Das, PEA
REFERENCE BOOKS:
1.
The 8088 and 8086 Microprocessors, Programming, Interfacing, Hardware and Applications, Walter A Triebel,
Avtar Singh, 4 ed, Pearson
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Elective - IV
Embedded and Real Time Systems
Course Objectives:
Develop an understanding of the technologies behind the embedded computing systems
1. technology capabilities and limitations of the hardware, software components
2. methods to evaluate design tradeoffs between different technology choices.
3. design methodologies
Course Outcomes:
Understand the basics of an embedded system
1. Program an embedded system
2.
Design, implement and test an embedded system.
Identify the unique characteristics of real-time systems
1. Explain the general structure of a real-time system
2.
Define the unique design problems and challenges of real-time
systems
Syllabus:
Unit-I:
Introduction to Embedded systems: What is an embedded system Vs. General computing system, history,
classification, major application areas, and purpose of embedded systems. Core of embedded system, memory, sensors
and actuators, communication interface, embedded firmware, other system components, PCB and passive components.
UNIT-II:
8--bit microcontrollers architecture: Characteristics, quality attributes application specific, domain specific,
embedded systems. Factors to be considered in selecting a controller, 8051 architecture, memory organization,
registers, oscillator unit, ports, source current, sinking current, design examples.
UNIT-III:
RTOS and Scheduling, Operating basics, types, RTOS, tasks, process and threads, multiprocessing and multitasking,
types of multitasking, non preemptive, preemptive scheduling.
UNIT-IV:
Task communication of RTOS, Shared memory, pipes, memory mapped objects, message passing, message queue,
mailbox, signaling, RPC and sockets, task communication/synchronization issues, racing, deadlock, live lock, the
dining philosopher's problem.
UNIT-V:
The producer-consumer problem, Reader writers problem, Priority Inversion, Priority ceiling, Task Synchronization
techniques, busy waiting, sleep and wakery, semaphore, mutex, critical section objects, events, device, device drivers,
how to clause an RTOS, Integration and testing of embedded hardware and fire ware.
UNIT-VI:
Simulators, emulators, Debuggers, Embedded Product Development life cycle (EDLC), Trends in embedded Industry,
Introduction to ARM family of processor.
TEXT BOOK:
1. Introduction to embedded systems Shibu. K.V, TMH, 2009.
REFERENCE BOOKS:
1. Ayala & Gadre: The 8051 Microcontroller & Embedded Systems using Assembly and C, CENGAGE
2. Embedded Systems, Rajkamal, TMH, 2009.
3. Embedded Software Primer, David Simon, Pearson.
4. The 8051 Microcontroller and Embedded Systems, Mazidi, Mazidi, Pearson,.
Neural Networks & Soft Computing
Course Objectives:
1. To have a detailed study of neural networks, Fuzzy Logic and uses of Heuristics based on human experience.
2. To Familiarize with Soft computing concepts.
3. To introduce the concepts of genetic algorithm and its applications to soft computing using some applications
Course Outcomes:
1. Identify and describe soft computing techniques and their roles in building intelligent machines.
2. Recognize the feasibility of applying a soft computing methodology for a particular problem.
3. Apply fuzzy logic and reasoning to handle uncertainty and solve engineering problems.
Syllabus:
UNIT I:
INTRODUCTION: what is a neural network? Human Brain, Models of a Neuron, Neural networks viewed as
Directed Graphs, Network Architectures, Knowledge Representation, Artificial Intelligence and Neural
UNIT II:
LEARNING PROCESS: Error Correction learning, Memory based learning, Hebbian learning, Competitive,
Boltzmann learning, Credit Assignment Problem, Memory, Adaption, Statistical nature of the learning process.
UNIT III:
CLASSICAL & FUZZY SETS: Introduction to classical sets ? properties, operations and relations; Fuzzy sets ?
memberships, uncertainty, operations, properties, fuzzy relations, cardinalities, membership functions.
UNIT IV:
FUZZY LOGIC SYSTEM COMPONENTS: Fuzzification, Membership value assignment, development of rule
base and decision making system, Defuzzification to crisp sets, Defuzzification methods
UNIT V:
CONCEPT LEARNING: Introduction, A concept learning task, Concept learning as search, Find-S: finding a
maximally specific hypothesis, Version spaces and the candidate elimination algorithm
DECISION TREE LEARNING: Introduction, Decision tree representation, Appropriate problems for decision tree
learning, The basic decision tree learning algorithm, Hypothesis space search in decision tree learning
UNIT VI:
GENETIC ALGORITHMS: Motivation, Genetic Algorithms, an Illustrative Example, Hypothesis Space Search,
Genetic Programming, Models of Evolution and Learning, Parallelizing Genetic Algorithms
TEXT BOOKS:
1.
Neural networks A comprehensive foundations, Simon Hhaykin, Pearson Education 2nd edition 2004
2.
Neural Networks, Fuzzy Logic, Genetic Algorithms: Sysnthesis and Applications by Rajasekharan and Pai,
PHI Publications
3.
Machine Learning, Tom M. Mitchell, MGH
References:
Social Networks and the Semantic Web
Course Objectives:
This course addresses the issues needed to realize the vision of the Semantic Web through the use of Intelligent
Agents. The objectives are :
- to understand semantic web
- to understand the role of ontology and inference engines in semantic web
Course Outcomes:
Students will
1. demonstrate knowledge and be able to explain the three different "named" generations of the web.
2. demonstrate the ability to
articipate materially in projects that develop programs relating to Web
applications and the analysis of Web data.
3. be able to understand and analyze key Web applications including search engines and social networking
sites.
4. be able to understand and explain the key aspects of Web architecture and why these are important to the
continued functioning of the World Wide Web.
5. be able to analyze and explain how technical changes affect the social aspects of Web-based computing.
6. be able to develop "linked data" applications using Semantic Web technologies.
Syllabus:
UNIT-I:
The Semantic web: Limitations of the current Web, The semantic solution, Development of the
Semantic Web, The emergence of the social web.
UNIT-II:
Social Network Analysis: What is network analysis?, Development of Social Network Analysis, Key
concepts and measures in network analysis.
Electronic sources for network analysis: Electronic discussion networks, Blogs and online
communities, Web-based networks.
UNIT-III:
Knowledge Representation on the Semantic Web: Ontologies and their role in the Semantic Web,
Ontology languages for the semantic Web.
UNIT-IV:
Modeling and Aggregating Social Network Data: State of the art in network data representation,
Ontologicl representation of Social individuals, Ontological representation of social relationships,
Aggregating and reasoning with social network data.
UNIT-V:
Developing social semantic applications: Building Semantic Web applications with social network
features, Flink- the social networks of the Semantic Web community, Open academia: distributed,
semantic-based publication management.
UNIT-VI:
Evaluation of Web-Based Social Network Extraction: Differences between survey methods and
electronic data extraction, context of the empirical study, Data collection, Preparing the data, Optimizing
goodness of fit, Comparison across methods and networks, Predicting the goodness of fit, Evaluation
through analysis.
Text Book:
1. Social Networks and the Semantic Web ,Peter Mika,Springer,2007.
2. Semantic Web Technologies ,Trends and Research in OntologyBased Systems, J.Davies,Rudi Studer,Paul
Warren,JohnWiley&Sons.
Reference Books:
1. Semantic Web and Semantic Web Services ?Liyang Lu Chapman and Hall/CRC Publishers,(Taylor & Francis
Group)
2. Information Sharing on the semantic Web ? Heiner Stuckenschmidt; Frank Van Harmelen, Springer
Publications
Cloud Computing
Course Objectives: The student will learn about the cloud environment, building software systems and components
that scale to millions of users in modern internet, cloud concepts capabilities across the various cloud service models
including Iaas,Paas,Saas, and developing cloud based software applications on top of cloud platforms.
Course Outcomes:
1. Understanding the key dimensions of the challenge of Cloud Computing
2. Assessment of the economics , financial, and technological implications for selecting cloud computing for
own organization
3. Assessing the financial, technological, and organizational capacity of employer's for actively initiating and
installing cloud-based applications.
4. Assessment of own organizations' needs for capacity building and training in cloud computing-related IT
areas
Syllabus:
UNIT I: Systems modeling, Clustering and virtualization:
Scalable Computing over the Internet, Technologies for Network based systems, System models for Distributed and
Cloud Computing, Software environments for distributed systems and clouds, Performance, Security And Energy
Efficiency
UNIT II: Virtual Machines and Virtualization of Clusters and Data Centers:
Implementation Levels of Virtualization, Virtualization Structures/ Tools and mechanisms, Virtualization of CPU,
Memory and I/O Devices, Virtual Clusters and Resource Management, Virtualization for Data Center Automation.
UNIT III: Cloud Platform Architecture:
Cloud Computing and service Models, Architectural Design of Compute and Storage Clouds, Public Cloud Platforms,
Inter Cloud Resource Management, Cloud Security and Trust Management. Service Oriented Architecture, Message
Oriented Middleware.
UNIT IV: Cloud Programming and Software Environments:
Features of Cloud and Grid Platforms, Parallel & Distributed Programming Paradigms, Programming Support of
Google App Engine, Programming on Amazon AWS and Microsoft Azure, Emerging Cloud Software Environments.
UNIT V: Cloud Resource Management and Scheduling:
Policies and Mechanisms for Resource Management Applications of Control Theory to Task Scheduling on a Cloud,
Stability of a Two Level Resource Allocation Architecture, Feedback Control Based on Dynamic Thresholds.
Coordination of Specialized Autonomic Performance Managers, Resource Bundling, Scheduling Algorithms for
Computing Clouds, Fair Queuing, Start Time Fair Queuing, Borrowed Virtual Time, Cloud Scheduling Subject to
Deadlines, Scheduling MapReduce Applications Subject to Deadlines.
UNIT VI:
Storage Systems: Evolution of storage technology, storage models, file systems and database, distributed file
systems, general parallel file systems. Google file system., Apache Hadoop, BigTable, Megastore, Amazon Simple
Storage Service(S3)
TEXT BOOKS:
1. Distributed and Cloud Computing, Kai Hwang, Geoffry C. Fox, Jack J. Dongarra MK Elsevier.
2. Cloud Computing, Theory and Practice, Dan C Marinescu, MK Elsevier.
3. Cloud Computing, A Hands on approach, Arshadeep Bahga, Vijay Madisetti, University Press
REFERNCE BOOK:
1. Cloud Computing, A Practical Approach, Anthony T Velte, Toby J Velte, Robert Elsenpeter, TMH
2. Mastering Cloud Computing, Foundations and Application Programming, Raj Kumar Buyya, Christen
vecctiola, S Tammarai selvi, TMH
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Distributed Systems
Course Objectives:
1. provides an introduction to the fundamentals of distributed computer systems, assuming the
availability of facilities for data transmission, IPC mechanisms in distributed systems, Remote
procedure calls.
2. Expose students to current technology used to build architectures to enhance distributed
computing infrastructures with various computing principles
Course Outcomes:
1. Develop a familiarity with distributed file systems.
2. Describe important characteristics of distributed systems and the salient architectural features of such systems.
3. Describe the features and applications of important standard protocols which are used in distributed systems.
4. Gaining practical experience of inter-process communication in a distributed environment
Syllabus:
UNIT-I:
Characterization of Distributed Systems: Introduction, Examples of Distributed Systems, Resource Sharing and
the Web, Challenges.
System Models: Introduction, Architectural Models- Software Layers, System Architecture, Variations, Interface
and Objects, Design Requirements for Distributed Architectures, Fundamental Models- Interaction Model, Failure
Model, Security Model.
UNIT-II:
Interprocess Communication: Introduction, The API for the Internet Protocols- The Characteristics of Interprocess
communication, Sockets, UDP Datagram Communication, TCP Stream Communication; External Data
Representation and Marshalling; Client Server Communication; Group Communication- IP Multicast- an
implementation of group communication, Reliability and Ordering of Multicast.
UNIT-III:
Distributed Objects and Remote Invocation: Introduction, Communication between Distributed Objects- Object
Model, Distributed Object Modal, Design Issues for RMI, Implementation of RMI, Distributed Garbage Collection;
Remote Procedure Call, Events and Notifications, Case Study: JAVA RMI
UNIT-IV:
Operating System Support: Introduction, The Operating System Layer, Protection, Processes and Threads ?
Address Space, Creation of a New Process, Threads.
UNIT-V:
Distributed File Systems: Introduction, File Service Architecture; Peer-to-Peer Systems: Introduction, Napster and
its Legacy, Peer-to-Peer Middleware, Routing Overlays.
Coordination and Agreement: Introduction, Distributed Mutual Exclusion, Elections, Multicast Communication.
UNIT-VI:
Transactions & Replications: Introduction, System Model and Group Communication, Concurrency Control in
Distributed Transactions, Distributed Dead Locks, Transaction Recovery; Replication-Introduction, Passive
(Primary) Replication, Active Replication.
TEXT BOOKS:
1. Ajay D Kshemkalyani, Mukesh Sighal, "Distributed Computing, Principles, Algorithms and Systems",
Cambridge
2. George Coulouris, Jean Dollimore, Tim Kindberg, "Distributed Systems- Concepts and Design", Fourth
Edition, Pearson Publication
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Management Science
Unit I
Introduction to Management: Concept ?nature and importance of
Management ? Functions of Management ? Evaluation of Management
thought- Theories of Motivation ? Decision making process-Designing
organization structure- Principles of organization - Types of organization
structure
Unit II
Operations Management: Principles and Types of Management ? Work
study- Statistical Quality Control- Control charts (P-chart, R-chart, and Cchart)
Simple problems- Material Management: Need for Inventory control-
EOQ, ABC analysis (simple problems) and Types of ABC analysis (HML,
SDE, VED, and FSN analysis)
Unit III
Functional Management: Concept of HRM, HRD and PMIR- Functions of
HR Manager- Wage payment plans(Simple Problems) ? Job Evaluation and
Merit Rating - Marketing Management- Functions of Marketing ? Marketing
strategies based on product Life Cycle, Channels of distributions.
Unit IV
Project Management: (PERT/CPM): Development of Network ? Difference
between PERT and CPM Identifying Critical Path- Probability- Project
Crashing (Simple Problems)
Unit V
Strategic Management: Vision, Mission, Goals, Strategy ? Elements of
Corporate Planning Process ? Environmental Scanning ? SWOT analysis-
Steps in Strategy Formulation and Implementation, Generic Strategy
alternatives
Unit VI
Contemporary Management Practice: Basic concepts of MIS, MRP, Justin-
Time(JIT) system, Total Quality Management(TQM), Six sigma and
Capability Maturity Model(CMM) Levies, Supply Chain Management ,
Enterprise Resource Planning (ERP), Business Process outsourcing (BPO),
Business process Re-engineering and Bench Marking, Balanced Score Card.
Text Books
1. Dr. P. Vijaya Kumar & Dr. N. Appa Rao, `Management Science' Cengage,
Delhi, 2012.
2. Dr. A. R. Aryasri, Management Science' TMH 2011.
References
1. Koontz & Weihrich: `Essentials of management' TMH 2011
2. Seth & Rastogi: Global Management Systems, Cengage learning , Delhi,
2011
3. Robbins: Organizational Behaviour, Pearson publications, 2011
4. Kanishka Bedi: Production & Operations Management, Oxford
Publications, 2011
5. Philip Kotler & Armstrong: Principles of Marketing, Pearson
publications
6. Biswajit Patnaik: Human Resource Management, PHI, 2011
7. Hitt and Vijaya Kumar: Starategic Management, Cengage learning
Objective: To familiarize with the process of management and to provide
basic insights into select contemporary management practices.
Codes/ Tables: Normal Distribution Function Tables need to be permitted
into the examination Halls
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Project
This post was last modified on 16 March 2021