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Cisy 403:Simulation And Modelling Question Paper

Cisy 403:Simulation And Modelling

Course:Computer Science

Institution: Kenya Methodist University question papers

Exam Year:2010

KENYA METHODIST UNIVERSITY

END OF SECOND TRIMESTER 2010 EXAMINATIONS

FACULTY : SCIENCE AND TECHNOLOY
DEPARTMENT : CIS AND BIT
COURSE CODE : BBIT 415/ CISY 403
COURSE TITLE : SIMULATION AND MODELING
TIME : 2 HOURS
INSTRUCTIONS
• Answer Question ONE (compulsory) in Section A nd any Other TWO Questions in Section B

SECTION A

Question 1
a) Discuss the different types of systems (6marks)

b) What does a M/M/1 represent in queuing model? (3marks)

c) Highlight common steps used to all digital simulation (4marks)

d) i) What are the areas different in simulation languages (3marks)
ii) What are the standard capabilities (4marks)

Question 2
a) Discuss the common random number generators commonly is use (6marks)

b) Consider simulating a single server queue; identify the exogenous and endogenous
variables (4marks)

SECTION B

Question 3
a) Briefly explain any three common techniques used to generate random numbers (9marks)

b) i) What are the advantages for using simulation other than experimenting with real
life systems? (5marks)
ii) What are the main disadvantages of simulation (2marks)

c) Differentiate between logical and physical models (4marks)

Question 4
a) Briefly discuss the different kinds of simulation methods commonly in use (6marks)

b) Give a brief discuss of systems with their corresponding reliabilities of performance
(9marks)

c) Discuss any two statistical techniques used to test for randomness for pseudo-random numbers (5marks)

Question 5
a) Describe kendall’s notation for queuing models (6marks)

b) Traffic to a message switching center for a corporation arrives in a random pattern at an average rate of 240 messages per minute. The line has a transmission rate (mean service time) of 0.22 seconds compute the principal measures of system performance (12marks)

c) What is the relation between the expected number of customers in the system (L), expected time in system per arrival (W), and the mean arrival rate (?). (2marks)

Question 6
a) Explain how a simple discrete event model can be constructed in MATLAB (15marks)

b) There are ten people in an office of which any one of them can talk on his/her phones any minute with a probability of 0.25. Write statements to simulate this situation and identify the number of people who will be on phone between 9.00 am to 9.30 am (5marks)

Cisy 403:Simulation And Modelling Question Paper

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