本課程提供統計計算之基本介紹，結合理論概念與實作練習，並透過 R、Python 或 MATLAB 等程式語言實作統計方法。課程中將以當前研究領域的實例說明核心概念，並引導學生建構模型、設計演算法，並將其應用於實際問題中。
This course provides a basic introduction to statistical calculations, establishing rational concepts and practice, and implementing statistical methods through programming languages such as R, Python or MATLAB. In the course, the core concept will be explained with examples from the current research field, and students will be guided to construct models, design algorithms, and apply them to actual problems.
1. Rizzo, M. L. (2019), Statistical computing with R, 2nd Edition, Chapman and Hall/CRC.
2. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013), Bayesian data analysis, 3rd Edition, Chapman and Hall/CRC.
3. Robert, C. P. & Casella, G. (2004), Monte Carlo statistical methods, 2nd Edition, Springer.
1. Rizzo, M. L. (2019), Statistical computing with R, 2nd Edition, Chapman and Hall/CRC.
2. Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013), Bayesian data analysis, 3rd Edition, Chapman and Hall/CRC.
3. Robert, C. P. & Casella, G. (2004), Monte Carlo statistical methods, 2nd Edition, Springer.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 平時表現平時表現 Normal performance |
50 | |
| 作業作業 Action |
30 | |
| 期末報告期末報告 Final report |
20 |
