Spring 2023 - CMPT 305 D100
Computer Simulation and Modelling (3)
Class Number: 6572
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
AQ 3150, Burnaby
We 12:30 PM – 1:20 PM
AQ 3154, Burnaby
Prerequisites:CMPT 225, (MACM 101 or (ENSC 251 and ENSC 252)) and (STAT 270 or STAT 271), all with a minimum grade of C-.
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 40%
- Homework Programming Assignments 40%
- Projects 20%
MATERIALS + SUPPLIES:
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/
The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, R. Jain, Wiley, 1991.
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website 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