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A

Section A: Long Answer Questions

Attempt any TWO questions.

3 questions·10 marks each
1long10 marks

Explain the Monte Carlo simulation method with a suitable example. Use Monte Carlo simulation to estimate the value of pi.

monte-carlo
2long10 marks

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

random-numbers
3long10 marks

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

discrete-event
B

Section B: Short Answer Questions

Attempt any EIGHT questions.

9 questions·5 marks each
4short5 marks

Explain Kendall's notation for queuing systems with examples.

queuing-kendall
5short5 marks

What is a simulation clock? Differentiate between fixed-increment and next-event time-advance mechanisms.

simulation-clock
6short5 marks

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

markov
7short5 marks

Differentiate between physical models and mathematical models with examples.

system-modeling
8short5 marks

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

midsquare
9short5 marks

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

entities-attributes
10short5 marks

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

output-analysis
11short5 marks

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

distributions
12short5 marks

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

gpss