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University of Barishal

Department of Computer Science and Engineering

Final Exam

Course Title: Simulation and Modeling (CSE-3209)

Semester: 6th | Session: 16-17

Time: 180 minutes | Marks: 60.00

Answer any five questions from the followings.

1.


a)

Define System. Write the components of a system with an example.

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4 Marks
b)

 Explain the characteristics of a System.

 

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4 Marks
c)

Define the following terms with example:

i) Open System

ii) Closed System

 

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4 Marks
2.


a)

At a grocery store with one counter, customers arrive at random from 1 to 8 minutes apart (each of inter-arrival time has the same probability of occurrence). The service times vary from 1 to 6 minutes with the probabilities as 0.10, 0.20, 0.30, 0.25, 0.10 and 0.05 respectively. Analyze the system by simulating the arrival and service of 15 customers. [Justifying your situation and requirements, you can choose your required random values]

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12 Marks
3.


a)

Write short notes on the followings:

i) Weibull Distribution

ii) Gamma Distribution

iii) Geometric Distribution

iv) Bernoulli Distribution

 

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8 Marks
b)

A Hurricane is to hit in the country, and expected to follow poisson distribution with a mean of 0.8 per year. Find the possibility of occurring more than two hurricanes in a year. Also find the possibility of exactly one hurricane in a year.

 

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4 Marks
4.


a)

Explain over aspects and characteristics of a Queueing System.

 

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8 Marks
b)

 Customers at a restaurant arrive in groups (one to eight persons). The number of persons (per group) for 300 customers and the relative frequencies appear are shown below. Draw empirical CDF.

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4 Marks
5.


a)

Explain different methods of random number generation.

 

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9 Marks
b)

 What are the challenges in generating pseudo random numbers.

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3 Marks
6.


a)

 When Linear Congruential Generator is used?

 

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2 Marks
b)

 How Linear Congruential Generator is implemented? Explain with an example.

 

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4 Marks
c)

 Explain two methods of uniformity test with appropriate examples.

 

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6 Marks
7.


a)

Suppose that x and y are jointly discrete random variables with

Are x and y independent?

 

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3 Marks
b)

Suppose that x and y are jointly continuous random variables with

Compute E(x), Var(x), E(y), Var(y), Cov(x, y), Cor(x, y)

 

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6 Marks
c)

 Test for whether the 3rd, 8th, 13th, and so on, numbers in the following sequence at the beginning of this section are autocorrelated using a = 0.05.

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3 Marks
8.


a)

 Explain how simulation and modelling can play an important role in Manufacturing and Material Handling System.

 

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3 Marks
b)

Briefly describe probable simulation processes in a Manufacturing System [Use an appropriate example].

 

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6 Marks
c)

 Define verification in simulation process? Describe techniques to perform verification on simulation model.

 

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3 Marks

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