| Weekly Schedule and Class Notes |
- Lecture notes : all notes will be posted in this section.
- It is your responsibility to download, print and bring the notes to the class. Notes will be available 24 hours before each class.
|
Week |
Date |
Topic |
Reading |
Assignments |
Notices and Dues |
Notes |
|
1 |
09/03 |
1. Course Organization / Introduction |
Lecture Note |
Homework #1 (Course Homepage) |
Due on Homework #1 (Midnight, September 12 ) |
|
|
2 |
09/10 |
2. Types of Mathematical Programming 3. Review for Linear Programming |
Lecture Note |
Homework #2 (Linear Programming) |
[Lecture03] [Lecture04] |
|
|
3 |
09/24 |
4. Stochastic Programming : new vendor Problem 5. Nonlinear function & FONC |
Lecture Note |
Homework #3 & #4 (Newsvendor problem & NLP function) |
Due on Homework #2(Midnight, September 23rd ) |
[Lecture05] |
|
4 |
10/01 |
reading days |
|
Due on Homework #3 &4(Midnight, Oct 4th ) |
||
|
5 |
10/08 |
6. SONC 7. SDG method 8. Dual problem & NLP 9. Dulality Gap |
Lecture Note |
Homework #5 & #6 (NLP & Dual Problem) |
Due on Homework #5 &6(Midnight, Oct 11th ) |
|
|
6 |
10/15 |
10. Issues in Big Data 11. Dynamic / Reinforcement Programming 12. Nonlinear Programming (II) 13. Metaheuristics (I) |
Lecture Note |
|||
|
7 |
10/22 |
Reading day |
Lecture Note |
|||
| 8 |
10/29 |
Metaheuristics (II) |
Lecture Note |
|||
|
9 |
11/05 |
Miderm Exam |
|
|||
|
10 |
11/12 |
Deep learning (I) |
Lecture Note |
|||
|
11 |
11/19 |
Deep learning (II) |
Lecture Note |
|||
|
12 |
11/26 |
Deep learning (III) |
Lecture Note |
|||
|
13 |
12/03 |
System Integration (I) |
Lecture Note |
|||
|
14 |
12/10 |
System Integration (II) |
Lecture Note |
|||
|
15 |
12/17 |
Firnal Exam |
|