Simulation and Modelling 2080 (new)

Question Paper Details
Tribhuwan University
Institute of Science and Technology
2080 (new)
Bachelor Level / Fifth Semester / Science
Computer Science and Information Technology ( CSC317 )
( Simulation and Modelling )
Full Marks: 60
Pass Marks: 24
Time: 3 hours
Candidates are required to give their answers in their own words as far as practicable.
The figures in the margin indicate full marks.

Section A

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Attempt any TWO questions. 

(2*10=10) marks
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1. Why model of a system is built? What is static model? Differentiate between static and dynamic mathematical models in simulation.

(2+2+6) marks
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2. What is storage in GPSS? Describe the blocks associated to storage in GPSS. A machine tool in a manufacturing shop is turning out parts at the rate of one every 5 minutes. As they are finished the parts go to an inspector who takes  minutes to examine each one and rejects 10% of the parts. Represent the system in GPSS using the concept of facility and run the simulation for 500 parts.

(2+3+5) marks
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What are the two main properties of random numbers? Test whether the 3rd, 7th, 11th, and so on numbers in the following random number sample are auto-correlated. (Zα = 0.05 and   ) 0.12  0.01  0.23  0.28  0.89  0.31  0.64  0.28  0.83  0.93  0.99  0.15  0.33  0.35  0.91  0.41  0.60  0.27  0.75  0.88  0.68  0.49  0.05  0.43  0.95  0.58  0.19  0.36  0.69  0.87

(3+7) marks
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Section B

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Attempt any EIGHT questions.

(8 * 5 =40) marks
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4. Explain Markov chain with suitable example.

5 marks
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5. What are the steps involved in simulation study? Explain.

5 marks
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Generate 10 random integers using Linear congruential method where m = 1000, a = 19, c= 6, and 

5 marks
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7. Explain different estimation methods which are used in simulation output analysis.

5 marks
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8. Define verification and validation. Explain the process of model verification in brief.

(2+3) marks
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9. What is feedback system? Explain with example.

(3+2) marks
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10. What is Calling Population? Explain Arrival and Service process in queue.

(1+4) marks
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11. Explain the Monte Carlo simulation method with example.

5 marks
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Write short notes:

a) Non-stationary Poisson Process

b) Poker Test

5 marks
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