Outline
First Day: Introduction
0. Outline of the course
Part I: Optimization models
1. Optimization concepts
2. Computational methods for optimization
3. Advanced topics in optimization
4. Practice session 1
Part II: Dynamic models
5. Dynamical systems and analysis
6. Practice session 2
7. Simulation methods
8. Practice session 3
Part III: Probability models
9. Probability and stochastic processes
10. Practice session 4
11. Monte Carlo simulation
12. Practice session 5
Review Sessions
13. Review session (by appointment)
Schedule
Part I (Prof. Maeda)
Sessions 0-1 (First Day): April 13, 2022; Online Lecture
Session 2: April 20, 2022; Online Lecture
Session 3: April 27, 2022; Lecture in person*
Session 4: May 11, 2022; Computer work and self-study (no class)
Part II (Prof. Kansha)
Session 5: May 18, 2022; Lecture in person*
Session 6: May 25, 2022; Computer work and self-study (no class)
Session 7: June 8, 2022; Lecture in person*
Session 8: June 15, 2022; Computer work and self-study (no class)
Part III (Prof. Narita)
Session 9: June 22, 2022; Lecture in person*
Session 10: June 29, 2022; Computer work and self-study (no class)
Session 11: July 6, 2022; Lecture in person*
Session 12: July 13, 2022; Computer work and self-study (no class)
* Class format is subject to change.