Optimization and simulationSpring 2022 |
Michel Bierlaire |
Transport and Mobility Laboratory, ENAC |
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The objectives of the course are:
Work involves:
Date | Topic | Slides | Videos |
---|---|---|---|
01.03.2022 | Introduction to simulation | ![]() |
Video |
Drawing from distributions | ![]() |
||
The Poisson process | ![]() |
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08.03.2022 @ 14:15 | Discrete events simulation | ![]() |
Video |
Statistical analysis and bootstrapping | ![]() |
Video | |
15.03.2022 | Variance reduction | ![]() |
Video |
Markov chain Monte Carlo methods | ![]() |
Videos: [1][2][3][4][5][6][7] | |
22.03.2022 | Simulation project | ||
29.03.2022 | Simulation project | ||
05.04.2022 | Simulation project | ||
12.04.2022 | Simulation project | ||
19.04.2022 | ~~ Spring break ~~ | ||
26.04.2022 | Introduction to optimization | ![]() |
Videos: [1][2][3][4][5][6] |
Multi-objective optimization | ![]() |
Videos: [1][2][3] | |
03.05.2022 | Optimization exercises | ||
10.05.2022 | Optimization project | ||
17.05.2022 | Optimization project | ||
24.05.2022 | Optimization project | ||
30.05.2022 | Project presentations |
Student performance is evaluated based on the group work through an oral presentation and the class involvement throught exercise codes.
Each student is assigned to a group that will work on a project and prepare a 30 minutes presentation in the end of the course.
Each group should submit a zip file named "GroupX.zip" (X is your group number) including
Michel Bierlaire, EPFL. February 2022