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
- Lecture: 35 Hour(s)
- Practical work: 55 Hour(s)
- Type: mandatory
- Exam form: Multiple (session free)
- Subject examined: Optimization and simulation
- Lecture: 35 Hour(s)
- Practical work: 55 Hour(s)
- Type: optional
- Exam form: Multiple (session free)
- Subject examined: Optimization and simulation
- Lecture: 35 Hour(s)
- Practical work: 55 Hour(s)
- Type: optional