Spring 2022 - CMPT 305 D100

Computer Simulation and Modelling (3)

Class Number: 6074

Delivery Method: In Person


  • Course Times + Location:

    Jan 10 – Apr 11, 2022: Tue, 10:30 a.m.–12:20 p.m.

    Jan 10 – Apr 11, 2022: Fri, 10:30–11:20 a.m.

  • Prerequisites:

    CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and STAT 270, all with a minimum grade of C-.



This course is an introduction to the modelling, analysis, and computer simulation of complex systems. Topics include analytic modelling, discrete event simulation, experimental design, random number generation, and statistical analysis.


This course is an introduction to the modelling and computer simulation of complex systems. The course includes both the theory and practice of model design, analysis, and simulation. The course focuses on the modelling and performance evaluation of computer systems and networks. Quizzes will cover the theory. In homework programming assignments and projects, students will model and simulate aspects of computer systems and networks.


  • Basic Concepts of Simulation, Modelling, and Performance Evaluation
  • Analytic Modelling: Queueing theory, fundamental laws, single/multiple server queues
  • Discrete Event Simulation: Event scheduling, random number and random variate generation
  • Simulation Model and Output Analysis
  • Experimental Design: Factorial designs, linear regression
  • Queueing Network Models
  • Computer System Simulation: System components, performance metrics, simulator design


  • Quizzes 35%
  • Homework Programming Assignments 30%
  • Projects 35%





Reference Books:
The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, R. Jain, Wiley, 1991, 9780471503361

Experimental Design and Analysis, Howard J. Seltman, Online, 2018, N/A, Available online at https://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf


Quantitative System Performance: Computer System Analysis Using Queueing Network Models, Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik, Prentice Hall, 1984
Available online at https://homes.cs.washington.edu/~lazowska/qsp/
ISBN: 9780137469758

Registrar Notes:


SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html


Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.