高等演算法
Advanced Algorithm
| 節 | 週五 |
|---|---|
5 13:20–14:10 | 高等演算法 4 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 | |
8 16:30–17:20 |
* 根據陽明交大上課時間表所列
This course is basically about data mining, machine learning and statistical modeling from data, and some other algorithms and applications. There are 7 topics given in the way of Videos Preview (about 2~3 hours) + In-class discussions (about 1~1.5 hours). Below please find the link that WILL provide the links of the following: (1) the videos to be watched BEFORE the class (2) the questions to be discussed IN the class (3) the homework to be completed AFTER the class (https://reurl.cc/eGWkoL)
The course details may change (time, location, topic, etc.), please refer to the class syllabus on the TIGP Bioinformatics Program before each class: https://idv.sinica.edu.tw/tigpbio/index.html 【For Non-BP student】 For Non-BP student to register/sit-in any BP course, it is required to gain course chair's permission: (1) Basic Enrollment Information form (https://forms.gle/oK7vJzzrx9EvybbT9) (2) TIGP-BP Course Registration Consent Form (https://idv.sinica.edu.tw/tigpbio/index/TIGP%20Bioinformatics_Class%20Registration%20Consent%20Form.docx) ※ Deadline: the 4th week of each semester. ※ Signature of the course chair should be collected before submission. Incomplete form will not be accepted. ※Course grade will NOT be given (even class enrollment is completed at school) if fail to follow the above procedures.
TA: Daniel Garcia-Ruiz (gard_ruiz@hotmail.com) Office hours: To be announced Office location: To be announced Please refer to the TIGP-BIO program website announcements for the latest syllabus: https://idv.sinica.edu.tw/tigpbio/
Grades: Midterm exam 50%. Final exam 50%.
| 週次 | 主題 |
|---|---|
| 第 1 週 | *Class rescheduled to 2026/2/25 (Wed) 14:00-17:00 * *2/27: Make-up Holiday for 228 Peace Memorial Day (no class)* Data Classification |
| 第 2 週 | Convolutional Neural Networks, Recurrent Neural Networks (optional: Graph Neural Networks) |
| 第 3 週 | Hidden Markov Models |
| 第 4 週 | [DL in Life Science] GWAS and Variants |
| 第 5 週 | Boolean and Bayesian networks |
| 第 6 週 | *Class rescheduled to 2026/4/1 (Wed) 14:00-17:00 * Single cell RNA-seq *4/3: Make-up Holiday for Tomb-Sweeping Day and Children's day (no class)* |
| 第 7 週 | Review Week (no class) |
| 第 8 週 | Midterm Exam |
| 第 9 週 | Network Analysis |
| 第 10 週 | [DL in Life Science] Graph Analysis [DL in Life Science] Drug Discovery |
| 第 11 週 | [DL in Life Science] Protein Structure Prediction |
| 第 12 週 | Advanced Algorithms for Proteomics |
| 第 13 週 | Exploring modeling in enzyme kinetics and pharmacokinetics |
| 第 14 週 | Systems Biology and Biological Modeling of Gene Regulation |
| 第 15 週 | Make-up Holiday for Dragon Boat Festival / Review Week (no class) |
| 第 16 週 | Final Exam |
Reserved in the library of the Institute of Information Science: 1. Learning from Data- A Short Course (Abu-Mostafa, Magdon-Ismail, Lin, 2012) 2. Learning Pattern Classification (Duda, Harg, and Stork, 2001) 3. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Cristianini and Shawe-Taylor, 2000) 4. [DL in Life Science] https://mit6874.github.io/ 5. [ML for Genomics] https://www.classcentral.com/course/youtube-6-047-6-878-machine-learning-for-genomics-fall-2020-48203