Scientific Computing (MATH*6020)
Code and section: MATH*6020*01
Term: Fall
Details
This course covers the fundamentals of algorithms and computer programming. This may include computer arithmetic, complexity, error analysis, linear and nonlinear equations, least squares, interpolation, numerical differentiation and integration, optimization, random number generators, Monte Carlo simulation; case studies will be undertaken using modern software.
Syllabus
| Attachment | Size |
|---|---|
 Course Outline (Winter 2016) | 102.49 KB |
| Course Outline (Fall 2016) | 48.67 KB |
| Course Outline (Fall 2017) | 45.71 KB |
| Course Outline (Fall 2018) | 46.57 KB |
| Course Outline (Fall 2019) | 47.43 KB |
| Course Outline (Fall 2020) | 51.4 KB |
| Course Outline (Fall 2021) | 99.08 KB |
| Course Outline (Fall 2022) | 35.68 KB |
| Course Outline (Fall 2023) | 37.98 KB |