| 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)陶養學生真知與力行務實研究的精神。
(2)培養學生數據科學與分析管理專業知能。
(3)培育學生創新前瞻與跨領域整合能力。
(4)陶塑學生具備宏觀務實與國際化視野。 |
| 3.Professional Knowledge in Statistical Analysis |
| 4.Professional Knowledge in Scientific Computation |
| 5.Professional Knowledge in Computer Science |
| 7.Mathematical and Statistical software skills |
| 8.English Language Ability |
|
|
|
| Written Presentation |
| Attendance |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
W1. 課程簡介、授課內容及重點說明。
|
| Week 2 |
W2. 產業數據(Data)生態、現況探討、面臨問題、機會發展及未來趨勢。 |
| Week 3 |
W3. 專題演講-業界專家 |
| Week 4 |
W4. 專題演講-業界專家 |
| Week 5 |
W5. 專題演講-業界專家 |
| Week 6 |
W6. 專題演講-業界專家 |
| Week 7 |
W7. 專題演講-業界專家 |
| Week 8 |
W8. 期中分組報告 |
| Week 9 |
W9. 專題演講-業界專家 |
| Week 10 |
W10.專題演講-業界專家 |
| Week 11 |
W11.專題演講-業界專家 |
| Week 12 |
W12.專題演講-業界專家 |
| Week 13 |
W13.專題演講-業界專家 |
| Week 14 |
W14.專題演講-業界專家 |
| Week 15 |
W15.專題演講-業界專家 |
| Week 16 |
W16.專題演講-業界專家
W17.期末分組報告
W18.專題演講-業界專家 |
self-directed
learning |
|
|
| Evaluation |
(1) 期中分組報告 (30%)
(2) 期末分組製作 (55%)
(3) 出席與Q&A (15%) |
| Textbook & other References |
| 業界專家準備PPT簡報 |
| Teaching Aids & Teacher's Website |
| 請參考iLearning |
| Office Hours |
| 請參考iLearning |
| Sustainable Development Goals, SDGs(Link URL) |
| 04.Quality Education 05.Gender Equality 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure 16.Peace and Justice | include experience courses：N |
|