Download PTU B.Tech 2020 March CSE-IT 7th and 8th Sem BTIT 905 Modelling And Simulation Question Paper

Download PTU (I.K. Gujral Punjab Technical University Jalandhar (IKGPTU) ) BE/BTech CSE/IT (Computer Science And Engineering/ Information Technology) 2020 March 7th and 8th Sem BTIT 905 Modelling And Simulation Previous Question Paper

1 | M - 7 1 9 8 9 ( S 2 ) - 9 3 0
Roll No. Total No. of Pages : 02
Total No. of Questions : 09
BTech.(IT) (2012 to 2017 E-III) (Sem.?7,8)
MODELLING AND SIMULATION
Subject Code : BTIT-905
M.Code : 71989
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
1. Write briefly :
a. Differentiate empirical distribution
b. Define non stationary poisson process.
c. State the queuing system represented by G/G/1/5/5.
d. Draw only the flowchart of next-event time advance approach for discrete-event
simulation.
e. Define dynamic model.
f. Disadvantages of simulations.
g. Why the testing of pseudo random number is done?
h. Define network simulator.
i. Stochastic activities.
j. Write the pdf and cdf for uniform distribution.
FirstRanker.com - FirstRanker's Choice
1 | M - 7 1 9 8 9 ( S 2 ) - 9 3 0
Roll No. Total No. of Pages : 02
Total No. of Questions : 09
BTech.(IT) (2012 to 2017 E-III) (Sem.?7,8)
MODELLING AND SIMULATION
Subject Code : BTIT-905
M.Code : 71989
Time : 3 Hrs. Max. Marks : 60
INSTRUCTION TO CANDIDATES :
1. SECTION-A is COMPULSORY consisting of TEN questions carrying TWO marks
each.
2. SECTION-B contains FIVE questions carrying FIVE marks each and students
have to attempt any FOUR questions.
3. SECTION-C contains THREE questions carrying TEN marks each and students
have to attempt any TWO questions.

SECTION-A
1. Write briefly :
a. Differentiate empirical distribution
b. Define non stationary poisson process.
c. State the queuing system represented by G/G/1/5/5.
d. Draw only the flowchart of next-event time advance approach for discrete-event
simulation.
e. Define dynamic model.
f. Disadvantages of simulations.
g. Why the testing of pseudo random number is done?
h. Define network simulator.
i. Stochastic activities.
j. Write the pdf and cdf for uniform distribution.
2 | M - 7 1 9 8 9 ( S 2 ) - 9 3 0
SECTION-B
2. Explain the characteristics of queueing system.
3. How could random numbers that are uniform on the interval [0, 1] be transformed into
random numbers that are uniform on the interval [?11, 17]?
4. Show the exponential distribution is memory-less.
5. For the random variables X
1
and X
2
which are exponentially distributed with parameter
? = l, compute P(X
1
+ X
2
> 2).
6. What is modeling and simulation? Discuss when simulation is not an appropriate tool.

SECTION-C
7. The lifetime, in years, of a satellite placed in orbit is given by the following pdf :
0.4
0.4 , 0
( )
0 ,
x
e x
f x
otherwise
?
? ?
?
?
?

a. What is the probability that this satellite is still ?alive? after 5 years?
b What is the probability that the satellite dies between 3 and 6 years from the time it is
placed in orbit?
8. Explain the Mid-square random number generator with suitable example. Also discuss
the importance of random number in simulation.
9. Explain the following :
a. Monte Carlo simulation.
b. Empirical distribution.


NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any
page of Answer Sheet will lead to UMC against the Student.
FirstRanker.com - FirstRanker's Choice