1.整合大數據各專業課程所學習之理論與技能
2.充實實務經驗，落實學習效果
3.學習獨立查詢資料、解決問題的能力
4.加強團隊合作與人際關係之學習
5.藉由本課程讓學生瞭解現今大數據領域的發展與最新知識
6.訓練學生研讀大數據相關期刊論文之能力以及訓練學生對科技語文之表達能力
1. Integrate large data of the theories and skills learned in various professional courses
2. Ensure practical experience and implement learning effects
3. Learn the ability to independently query data and solve problems
4. Strengthen the learning of team cooperation and international relations
5. Through this course, students can understand the development and latest knowledge of today's large data fields
6. The ability of trainees to read large data related journals and the ability of trainees to express scientific and technological language
無固定教科書，以書報討論與演講為主。
There is no fixed textbook, and it focuses on book discussions and lectures.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 上課出席與參與討論情形上課出席與參與討論情形 Attendance and Participation in the previous class |
15 | 上課須出席，同學報告後參與討論的情形。 |
| 平時報告平時報告 Regular report |
25 | 平時需做書報討論與上台報告。 |
| 期中報告期中報告 Midterm Report |
30 | 期中需做論文專題報告與繳交報告書。 |
| 期末實作專題報告期末實作專題報告 Final period implementation topic report |
30 | 期末需做一學期中實作專題之成果報告與繳交報告書。 |
