| Course: | Computer Science 2206
System Modelling and Analysis |
| Term: | Fall 2020 |
| Instructor: | P. Marbach
|
| Email: | marbach@cs.toronto.edu |
| Class Time/Location: | W 10am-12pm, online on Quercus |
| Office Hour: | by appointment |
| Tutorials: | R 11am-12pm, online on Quercus |
| Final: | TBA |
| Text Book: |
"Discrete Stochastic Processes", R. Gallager, Kluwer Academic Publishers, 1996, or R. Gallager, "STOCHASTIC PROCESSES: THEORY FOR APPLICATIONS"
|
| Topics: | The emphasis of the course is on models for systems with uncertainty. We study the properties of various models and discuss how they can be applied to analyze system performance. Concepts covered include Poisson, renewal, and Markov processes. |
| Prerequisite: | Solid knowledge of basic probability theory. |