2829 - GL:Exploring Computational Thinking and Generative AI 英授 Taught in English
GL:Exploring Computational Thinking and Generative AI
教育目標 Course Target
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.
Students will be able to
1. define problems, find norms, 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.
參考書目 Reference Books
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.
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.
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Attendance and class participation Attendance and class participation |
10 | |
|
In-Class exercises In-Class exercises |
60 | |
|
Midterm Midterm |
15 | |
|
Final project Final project |
15 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 2829
- 學分 Credit: 2-0
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上課時間 Course Time:Monday/3,4[M024]
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授課教師 Teacher:鄧佳恩
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修課班級 Class:永續學程2
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選課備註 Memo: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
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