Spring 2022 - CMPT 305 D100
Computer Simulation and Modelling (3)
Class Number: 6074
Delivery Method: In Person
Course Times + Location:
Tu 10:30 AM – 12:20 PM
RCB IMAGTH, Burnaby
Fr 10:30 AM – 11:20 AM
EDB 7618, Burnaby
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%
MATERIALS + SUPPLIES:
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/
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TEACHING AT SFU IN SPRING 2022
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 (firstname.lastname@example.org or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.