Advanced Topics in Model & Optimization (MATH*4240)
Code and section: MATH*4240*01
Term: Fall
Details
This course is a study of advanced topics in the areas of optimization and modeling. Topics may include continuous and discrete models together with techniques for their analysis and design, and optimization topics such as game theory, networks, nonlinear problems, Markov chains, queuing theory, agent-based models, computational intelligence based techniques and computational optimization techniques.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Fall 2019) | 223.56 KB |
| Course Outline (Fall 2020) | 239.32 KB |
| Course Outline (Fall 2021) | 256.29 KB |
| Course Outline (Fall 2022) | 269.89 KB |
| Course Outline (Fall 2023) | 281.49 KB |