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 the theories and skills learned in various big data professional courses
2. Enrich practical experience and implement learning results
3. Learn the ability to independently query information and solve problems
4. Strengthen the learning of teamwork and interpersonal relationships
5. Through this course, students can understand the current development and latest knowledge in the field of big data
6. Train students’ ability to read journal articles related to big data and train students’ expression ability in scientific and technical language.
無固定教科書，以書報討論與演講為主。
There is no fixed textbook, but mainly 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 Class attendance and discussion participation |
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 daily report |
25 | 平時需做書報討論與上台報告。 |
| 期中報告期中報告 interim 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 implementation 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。 |
