BSc CSIT (TU) Science Simulation and Modelling (BSc CSIT, CSC317) Question Paper 2075
This is the official BSc CSIT (TU) (Science stream) Simulation and Modelling (BSc CSIT, CSC317) question paper for 2075, as set in the regular annual examination. It carries 60 full marks and a time allowance of 180 minutes, across 12 questions. On Kekkei you can attempt this Simulation and Modelling (BSc CSIT, CSC317) past paper online with a timer, get instant AI feedback and step-by-step solutions, and track the topics where you lose marks — completely free. Whether you are revising for your BSc CSIT (TU) Simulation and Modelling (BSc CSIT, CSC317) exam or solving previous years' question papers, this 2075 paper is a great way to practise under real exam conditions.
Section A: Long Answer Questions
Attempt any TWO questions.
Explain the characteristics and structure of a basic queuing system. Discuss the various performance measures of a single-server (M/M/1) queuing system.
Explain the Monte Carlo simulation method with a suitable example. Use Monte Carlo simulation to estimate the value of pi.
Differentiate between true and pseudo-random numbers. Explain the linear congruential method of generating pseudo-random numbers with an example.
Section B: Short Answer Questions
Attempt any EIGHT questions.
Explain the basic properties of random numbers: uniformity and independence.
Explain the inverse transform technique for generating random variates from the exponential distribution.
Explain Kendall's notation for queuing systems with examples.
What is a simulation clock? Differentiate between fixed-increment and next-event time-advance mechanisms.
Explain Markov chains and their application in simulation with an example.
Differentiate between physical models and mathematical models with examples.
Explain the mid-square method and the additive congruential method of generating random numbers.
Define entity, attribute, activity, event and state of a system in the context of simulation.
Explain the importance of output analysis in simulation. Differentiate between terminating and steady-state simulation.