計算生物學-建模與預測
Computaional Biology:Modeling and Prediction
| 節 | 週三 |
|---|---|
5 13:20–14:10 | 計算生物學-建模與預測 BI303（博愛） 3 節連堂 |
6 14:20–15:10 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
The course introduces the basic concepts and methods of mathematic modeling, computational prediction and analysis, as well as their biomedical applications. Some case studies of biomedical applications are used to illustrate the modeling and prediction technologies. Students can learn and understand the course through step by step homework and a term project.
Machine Learning Programming
無備註
Teaching assistants will assist in providing programming tools and facilitating assignment discussions.
Attendance and participation (10%) Homework (40%) Midterm exam (15%) Term project (35%)
Introduction to mathematical modeling, computational technology, and applications
○ Machine learning concepts ○ Programming and tools ○ Databases ○ Application examples
○ Computational Methods and Optimization algorithm ○ Modeling Types: Classification, Regression, Survival Analysis ○ Data Types: Data, Signals, Images
○ Computational Methods and Optimization algorithm ○ Modeling Types: Classification, Regression, Survival Analysis ○ Data Types: Data, Signals, Images
Applications of Bioinformatics and Medicine
○ Microarray and RNA-seq Analysis ○ Signature identification ○ Protein-DNA binding prediction ○ Prediction of enzyme subfamily class ○ AI-assisted prediction system
| 週次 | 主題 |
|---|---|
| 第 1 週 | Machine learning concepts 2025-09-03(三) |
| 第 2 週 | Programming and tools Databases 2025-09-10(三) |
| 第 3 週 | Application examples 2025-09-17(三) |
| 第 4 週 | Genetic Algorithm and optimization AI modeling 2025-09-24(三) |
| 第 5 週 | Intelligent Genetic Algorithm Orthogonal Simulated Annealing 2025-10-01(三) |
| 第 6 週 | Orthogonal Particle Swarm Optimization Evolutionary Fuzzy Classifiers 2025-10-08(三) |
| 第 7 週 | Evolutionary Fuzzy Neural Network Evolutionary Support Vector Machine 2025-10-15(三) |
| 第 8 週 | Midterm exam 2025-10-22(三) |
| 第 9 週 | Evolutionary Hidden Markov Model Evolutionary Cox-regression Model 2025-10-29(三) |
| 第 10 週 | Microarray and RNA-seq Analysis 2025-11-05(三) |
| 第 11 週 | Signature identification 2025-11-12(三) |
| 第 12 週 | Protein-DNA binding prediction 2025-11-19(三) |
| 第 13 週 | AI-assisted prediction system (1) 2025-11-26(三) |
| 第 14 週 | AI-assisted prediction system (2) 2025-12-03(三) |
| 第 15 週 | Oral presentation of term project 2025-12-10(三) |
| 第 16 週 | Oral presentation of term project 2025-12-17(三) |
1. Machine Learning, Tom M. Mitchell, ISBN:0-07-115467-1 2. Introduction to Evolutionary Computing, A.E. Eiben and J.E. Smith, ISBN:3-540-40184-9 3. Pattern Classification, Richard O. Duda, Peter E. Hart and David G. Stork, ISBN:0-471-05669-3 4. Related papers
- 地點
- 賢齊館 412室
- 時間
- Wensday 10:00-12:00
- 聯絡方式
- syho@nycu.edu.tw