| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 學會使用三個 Python packages：Matplotlib、Numpy 和 Scipy。 |
| 1.Basic Knowledge in Mathematical Sciences |
| 3.Professional Knowledge in Statistical Analysis |
| 7.Mathematical and Statistical software skills |
|
|
|
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
18 節課集中在六週上完。
PYTHON基本語法介紹、資料型態 |
| Week 2 |
18 節課集中在六週上完。
PYTHON邏輯判斷語法介紹、函式 |
| Week 3 |
18 節課集中在六週上完。
用PYTHON求極限值問題 |
| Week 4 |
18 節課集中在六週上完。
用PYTHON求導函數、微分問題
|
| Week 5 |
18 節課集中在六週上完。
用PYTHON求積分問題、函數繪圖 |
| Week 6 |
18 節課集中在六週上完。
用PYTHON解微積分應用問題: 最陡梯度法 |
| Week 7 |
18 節課集中在六週上完。 |
| Week 8 |
18 節課集中在六週上完。 |
| Week 9 |
18 節課集中在六週上完。 |
| Week 10 |
18 節課集中在六週上完。 |
| Week 11 |
18 節課集中在六週上完。 |
| Week 12 |
18 節課集中在六週上完。 |
| Week 13 |
18 節課集中在六週上完。 |
| Week 14 |
18 節課集中在六週上完。 |
| Week 15 |
18 節課集中在六週上完。 |
| Week 16 |
8 節課集中在六週上完。Ϻ 節課集中在六週上完。Ϻ 節課集中在六週上完。 |
self-directed
learning |
|
|
| Evaluation |
| 隨堂作業與期末測驗 |
| Textbook & other References |
|
| Teaching Aids & Teacher's Website |
| 隨課發講義。 |
| Office Hours |
| 另訂 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|