Spring 2021 - CMPT 305 E100

Computer Simulation and Modelling (3)

Class Number: 7884

Delivery Method: In Person

Overview

  • Course Times + Location:

    Tu 4:30 PM – 6:20 PM
    REMOTE LEARNING, Burnaby

    Fr 4:30 PM – 5:20 PM
    REMOTE LEARNING, Burnaby

  • Prerequisites:

    CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and STAT 270.

Description

CALENDAR DESCRIPTION:

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.

COURSE DETAILS:

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.

Topics

  • 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

Grading

  • Quizzes 30%
  • Homework programming assignments 30%
  • Projects (Tentative) 40%

Materials

REQUIRED READING:

  • 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

RECOMMENDED READING:

Reference Books

  • The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, R. Jain, Wiley, 1991, 9780471503361
  • Discrete-Event Simulation: A First Course, L.H. Leemis and S.K. Park, Prentice Hall, 2005, 9780131429178
  • Experimental Design and Analysis, Howard J. Seltman, Online, 2018, N/A, Available online at https://www.stat.cmu.edu/~hseltman/309/Book/Book.pdf

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

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 2021

Teaching at SFU in spring 2021 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges 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. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.

Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112).