114年第1學期-2829 GL:Exploring Computational Thinking and Generative AI 課程資訊
評分方式
| 評分項目 | 配分比例 | 說明 |
|---|---|---|
| Attendance and class participation | 10 | |
| In-Class exercises | 60 | |
| Midterm | 15 | |
| Final project | 15 |
選課分析
本課程名額為 50人,已有32 人選讀,尚餘名額18人。
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授課教師
鄧佳恩教育目標
Students will be able to
1. define problems, find regularities, and come up with a general solution to solve similar problems;
2. use the tool to produce a flowchart and to describe the procedure of solving problems;
3. use the tool to convert the flowchart into Java programming language;
4. use Processing to create interactive games.
課程資訊
基本資料
必修課,學分數:2-0
上課時間:一/3,4[M024]
修課班級:永續學程2
修課年級:3年級以上
選課備註:與不分系英語學士班2872課程併班上課。可抵免基礎課程「程式思維與生成式AI」學分
教師與教學助理
授課教師:鄧佳恩
大班TA或教學助理:尚無資料
Office Hourby appointment
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
(開在新視窗)
參考書目
Reas, C., & Fry, B. (2010). Getting started with Processing. Cambridge, PA: O'Reilly.
Beecher, K. (2017). Computational thinking: a beginner's guide to problem-solving and programming. Swindon, UK: BCS.
Bueno, C. (2015). Laure Ipsum: a story about computer science and other improbable things. San Francisco, CA: No Starch Press, Inc.
Krauss, J., & Prottsman, K. (2017). Computational thinking and coding for every student. Thousand Oaks, CA: Sage.
Kubica, J. (2012). Computational fairy tales. CreateSpace Independent Publishing Platform.
開課紀錄
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