Optimization and simulation
Summary
Master state-of-the art methods in optimization with heuristics and simulation. Work involves: - reading the material beforehand - class hours to discuss the material and solve problems - homework
Content
Learning Prerequisites
Required courses
Analysis, algebra, probability and statistics, Python programming language
In the programs
- Exam form: Multiple (session free)
- Subject examined: Optimization and simulation
- Courses: 35 Hour(s)
- TP: 55 Hour(s)
- Type: mandatory
- Exam form: Multiple (session free)
- Subject examined: Optimization and simulation
- Courses: 35 Hour(s)
- TP: 55 Hour(s)
- Type: optional
- Exam form: Multiple (session free)
- Subject examined: Optimization and simulation
- Courses: 35 Hour(s)
- TP: 55 Hour(s)
- Type: optional
Reference week
| Mo | Tu | We | Th | Fr | |
| 8-9 | |||||
| 9-10 | |||||
| 10-11 | |||||
| 11-12 | |||||
| 12-13 | |||||
| 13-14 | |||||
| 14-15 | |||||
| 15-16 | |||||
| 16-17 | |||||
| 17-18 | |||||
| 18-19 | |||||
| 19-20 | |||||
| 20-21 | |||||
| 21-22 |
Légendes:
Lecture
Exercise, TP
Project, Lab, other