| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1、 增加分析方法之理解能力
2、 培養分析與程式撰寫能力 |
| 3.Professional Knowledge in Statistical Analysis |
| 4.Professional Knowledge in Scientific Computation |
| 5.Professional Knowledge in Computer Science |
| 7.Theory of Mathematical Analysis, Statistics, and Mechanics |
|
|
| topic Discussion / Production |
| Networking / Distance Education |
| Discussion |
| Other |
| Lecturing |
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Assignment |
| Quiz |
| Other |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Python與R簡介 |
| Week 2 |
Python與R簡介 |
| Week 3 |
Python與R簡介 |
| Week 4 |
迴歸分析於教育大數據應用 |
| Week 5 |
迴歸分析於教育大數據應用 |
| Week 6 |
迴歸分析於教育大數據應用 |
| Week 7 |
正則化迴歸於教育大數據應用 |
| Week 8 |
正則化迴歸於教育大數據應用 |
| Week 9 |
正則化迴歸於教育大數據應用 |
| Week 10 |
迴歸分類模型於教育大數據應用 |
| Week 11 |
迴歸分類模型於教育大數據應用 |
| Week 12 |
迴歸分類模型於教育大數據應用 |
| Week 13 |
SVM迴歸與分類於教育大數據應用 |
| Week 14 |
SVM迴歸與分類於教育大數據應用 |
| Week 15 |
SVM迴歸與分類於教育大數據應用 |
| Week 16 |
決策樹分析法於教育大數據應用
決策樹分析法於教育大數據應用
決策樹分析法於教育大數據應用 |
self-directed
learning |
|
|
| Evaluation |
1.平時成績（平時考，出席率，課堂互動，作業等） ：佔60%
2.期中考(報告)成績：佔20%
3.期末考（報告）成績 ：佔20% |
| Textbook & other References |
| 2019_Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition by Aurélien Géron (z-lib.org) |
| Teaching Aids & Teacher's Website |
https://www.youtube.com/channel/UCSivAooQ-OTLATS1dTT3DZw
|
| Office Hours |
| 預約 |
| Sustainable Development Goals, SDGs(Link URL) |
| | include experience courses：N |
|