週次 |
日期 |
單元主題 |
第3週 |
3/02 |
Lecture 0-1: All you need to know about this course +
Lecture 2-1: The Art of Numerical Analysis |
第4週 |
3/09 |
Lecture 2-2: Numerical Differential & Integration |
第5週 |
3/16 |
Lecture 2-3: NumPy array & linear algebra (I) |
第6週 |
3/23 |
Lecture 2-4: NumPy array & linear algebra (II) |
第7週 |
3/30 |
Lecture 2-5: Root finding & minimization |
第8週 |
4/06 |
Lecture 2-6: Solving ordinary differential equations |
第9週 |
4/13 |
Lecture 2-7: Random numbers |
第10週 |
4/20 |
Lecture 3-1: Brief on machine learning |
第11週 |
4/27 |
Lecture 3-2: Incorporating Nonlinear Models |
第12週 |
5/04 |
Lecture 3-3: Tricks for Improving Neural Network |
第13週 |
5/11 |
Lecture 3-4: Deep Structured Learning |
第14週 |
5/18 |
Lecture 3-5: Modeling of Data – Probability & Probability Distributions |
第15週 |
5/25 |
Lecture 3-6: Modeling of Data – Parameter Estimation |
第16週 |
6/01 |
Tournament + Final presentation (I) |
第17週 |
6/08 |
Final presentation (II) |