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A

Section A: Long Answer Questions

Attempt any TWO questions.

3 questions·10 marks each
1long10 marks

Differentiate between true and pseudo-random numbers. Explain the linear congruential method of generating pseudo-random numbers with an example.

random-numbers
2long10 marks

Explain discrete-event simulation. Describe the event-scheduling/time-advance algorithm used in simulation with a flowchart.

discrete-event
3long10 marks

Explain the different stages/steps involved in a sound simulation study with a flowchart.

simulation-languages
B

Section B: Short Answer Questions

Attempt any EIGHT questions.

9 questions·5 marks each
4short5 marks

Explain Markov chains and their application in simulation with an example.

markov
5short5 marks

Differentiate between physical models and mathematical models with examples.

system-modeling
6short5 marks

Explain the mid-square method and the additive congruential method of generating random numbers.

midsquare
7short5 marks

Define entity, attribute, activity, event and state of a system in the context of simulation.

entities-attributes
8short5 marks

Explain the importance of output analysis in simulation. Differentiate between terminating and steady-state simulation.

output-analysis
9short5 marks

Explain the Poisson and exponential distributions and their role in queuing simulation.

distributions
10short5 marks

Explain the features of a general-purpose simulation language (e.g., GPSS).

gpss
11short5 marks

Explain the chi-square test for testing the uniformity of random numbers with an example.

chi-square
12short5 marks

Explain the classification of models: static vs dynamic, deterministic vs stochastic, continuous vs discrete.

model-types