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 |
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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 |
18 節課集中在六週上完。 |
Week 17 |
18 節課集中在六週上完。 |
Week 18 |
18 節課集中在六週上完。 |
|
Evaluation |
隨堂作業與期末測驗 |
Textbook & other References |
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Teaching Aids & Teacher's Website |
隨課發講義。 |
Office Hours |
另訂 |
Sustainable Development Goals, SDGs(Link URL) |
| include experience courses:N |
|