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Download JNTUK M.Tech R19 CSE M.Tech Computer Sceince & Technology Course Structure And Syllabus

Download JNTU Kakinada (Jawaharlal Nehru Technological University, Kakinada) M.Tech (Master of Technology) R19 CSE M.Tech Computer Sceince & Technology Course Structure And Syllabus

This post was last modified on 16 March 2021

Tags:JNTUKM.TechR19CSEComputer Science TechnologySyllabusCourse StructurePDFKakinadaJNTU Kakinada
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JNTU Kakinada (JNTUK) M.Tech R20-R19-R18 Syllabus And Course Structure


DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
COURSE STRUCTURE M.Tech CSE for COMPUTER SCIENCE & TECHNOLOGY PROGRAMME (Applicable for batches admitted from 2019-2020)

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JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY KAKINADA
I SEMESTER
S.No Course Code Courses Category L T P C
1 MTCST1101 Program Core-1
Mathematical Foundations of Computer Science 		PC 3 0 0 3
2 MTCST1102 Program Core-2

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Advanced Data Structures 		PC 3 0 0 3
3 MTCST1103 Program Elective-1
  1. Artificial Intelligence
  2. Cloud Computing
  3. Digital Image Processing
  4. Advanced Operating System
  5. Optimization Techniques

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 PE 3 0 0 3
4 MTCST1104 Program Elective-2
  1. Big Data Analytics
  2. Applied Cryptography
  3. Advanced Computer Networks
  4. Embedded Computing
  5. Parallel Computer Architecture

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 PE 3 0 0 3
5 MTCST1105 Research Methodology and IPR CC 0 2
6 MTCST1106 Laboratory-1
Advanced Data Structures Lab 		LB 0 0 4 2
7 MTCST1107 Laboartory-2 Computing Lab LB 0 0 4 2
8 MTCST1108 Audit Course-1* AC 2 0 0 0
Total Credits 18
*Student has to choose any one audit course listed below.
II SEMESTER
S.No Course Code Courses Category L T P C
1 MTCST1201 Program Core-3
Advanced Algorithms 		PC 3 0 0 3
2 MTCST1202 Program Core-4
Machine Learning 		PC 3 0 0 3
3 MTCST1203 Program Elective-3
  1. Soft Computing

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  2. Advanced Network Principles and Protocols
  3. Internet of Things
  4. Open Source Programming
  5. Pattern Recognition
 PE 3 0 0 3
4 MTCST1204 Program Elective-4
  1. Natural Language Processing

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  2. Full Stack Technologies
  3. Parallel Algorithms
  4. Object Oriented Software Engineering
  5. Distributed Database
 PE 3 0 0 3
5 MTCST1205 Laboratory-3 Advance AlgorithmLab LB 0 0 4 2
6 MTCST1206 Laboartory-4 Machine Learning Lab LB 0 0 4 2
7 MTCST1207 Mini Project with Seminar MP 2 0 0 2
8 MTCST1208 Audit Course-2 * AC 2 0 0 0
Total Credits 18
*Student has to choose any one audit course listed below.

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Audit Course 1 & 2:
  1. English for Research Paper Writing
  2. Disaster Management
  3. Sanskrit for Technical Knowledge
  4. Value Education
  5. Pedagogy Studies

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  6. Stress Management by Yoga
  7. Personality Development through Life Enlightenment Skills
III-SEMESTER
S.No Course Code Courses Category L T P C
1 MTCST2101 Program Elective-5
  1. Deep Learning
  2. Ethical Hacking

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  3. MOOCs-1 through NPTEL/SWAYAM- 12 Week Program related to the programme which is not listed in the course structure
 PE 3 0 0 3
2 MTCST2102 Open Elective
  1. MOOCs-2 through NPTEL/SWAYAM- any 12 week course on Engineering/ Management/ Mathematics offered by other than parent department
  2. Course offered by other departments in the college
 OE 3 0 0 3
3 MTCST2103 Dissertation-I/Industrial Project # PJ 0 0 20 10
Total Credits 16
#Students going for Industrial Project/Thesis will complete these courses through MOOCs
IV SEMESTER
S.No Course Code Courses Category L T P C
1 MTCST2201 Dissertation-II PJ 0 0 32 16
Total Credits 16

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Open Electives offered to other departments:
  1. Python Programming
  2. Artificial Intelligence
  3. Machine Learning
  4. Web Technologies
  5. Internet of Things

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  6. Advanced Data Structures

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This post was last modified on 16 March 2021