週次 |
授課內容 |
第1週 |
Introduction to biological data. |
第2週 |
Data structure and pattern. |
第3週 |
Data sampling, mining and modeling. |
第4週 |
Data validation and virtualization. |
第5週 |
Data pattern recognition. |
第6週 |
Large-scale data (big-data) and image data processing. |
第7週 |
Introduction to R. |
第8週 |
R programing for large-scale data analysis. |
第9週 |
R programing for data visualization. |
第10週 |
Introduction to data dimension reduction. |
第11週 |
Introduction to data similarity. |
第12週 |
Introduction to data clustering. |
第13週 |
Introduction to Artificial Intelligence (AI) and machine learning |
第14週 |
Supervised machine learning. |
第15週 |
Unsupervised machine learning. |
第16週 |
Application of Neuro Network and Deep Learning in biological modeling. Discussion and Review. |
第17週 |
Self-study - I: Practice on case study of causality analysis between factors. |
第18週 |
Self-study - II: Practice on case study of explanatory machine learning. |