| 課程編碼 Course Code | 中文課程名稱 Course Name (Chinese) | 英文課程名稱 Course Name (English) | 總學分數 Credits | 總時數 Hours |
|---|---|---|---|---|
| 5904381 | 資料科學原理與教育數據應用 | Data Science Principles with Applications on Educational Data | 3.0 | 3 |
| 中文概述 Chinese Description | 資料科學是個跨領域的重要興新學科，其基本知識含括資訊、線性代數、機率與統計等，相關技術可應用在許多領域上，包含教育領域。本課程從學科整體介紹開始，討論資料科學中各主要階段的相關議題：包含資料搜尋擷取、資料整理與問題發想、數理知識回顧與討論、資料分析建模與方法、資料呈現與視覺化等。除課堂上講授與討論外，課程亦著重如何實際應用所學，將使用教育資料並以小組方式進行議題發想與分析實作的學期專題。此外，為強化健全資料視覺呈現課題，在實作專題中課程亦著重學生報告能力的培養，希望培育出全方位的資料科學人才。 | |||
| 英文概述 English Description | Data science is an emerging interdisciplinary field that explores how to produce the valuable knowledge from large, multi-typed, or unstructured data and provides effective feedbacks to many applications, including education. The topics include data processing, data storage, statistics and probability, linear algebra, and data analysis. The course introduces the rapidly growing field, discusses the state-of-art techniques, and provides students with fundamental related knowledge and the ability to use software tools. The major phases on data manipulation-collection, preparation, analytics, and presentation, in data science will be discussed. The course training is toward equipping students with the mindset and the ability to solve problems with the learned techniques on educational data. In addition, students need to practice the presentation for the findings of the studied problem in order to equip with the ability to convey the thoughts well and demonstrate things visually. | |||
| 核心能力指標 | 1.具備運用資訊、數學之能力，並能充分溝通與表達 2.擁有程式語言、邏輯演算、及電腦系統之專業知識 3.能運用軟體工具解決問題 4.能分析、設計、開發、整合、測試、與評估資訊系統 5.具備良好溝通與團隊合作之能力 6.具備專題研究、撰寫報告及成果簡報之能力 8.具備自我學習能力，以面對資訊技術的快速變化 9.可以體認資訊科技對於社會、教育、經濟、文化等的影響與責任 10.尊重學術倫理、工程倫理、及智慧財產權 | |||
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