1156 - AI Thinking & Basic Program 英授 Taught in English
AI Thinking & Basic Program
教育目標 Course Target
This course is designed to equip students, especially those from non-technical backgrounds, with foundational skills in computational thinking and programming. The primary focus is on cultivating logical thinking to solve problems and acquiring basic Python programming skills to implement these solutions through flowcharts and code. Additionally, the course introduces the fundamentals of artificial intelligence (AI), including a hands-on exploration of generative AI. Students will learn how to use AI tools like ChatGPT to generate text and music while exploring AI’s applications in creative fields and data analysis. Ethical considerations and future trends in AI will also be discussed, helping students develop a well-rounded understanding of AI technologies and their practical uses.
This course is designed to equip students, especially those from non-technical backgrounds, with foundational skills in computing thinking and programming. The primary focus is on cultivating logical thinking to solve problems and acquiring basic Python programming skills to implement these solutions through flowcharts and code. Additionally, the course introduces the fundamentals of artistic intelligence (AI), including a hands-on exploration of generative AI. Students will learn how to use AI tools like ChatGPT to generate text and music while exploring AI’s applications in creative fields and data analysis. Ethical considerations and future trends in AI will also be discussed, helping students develop a well-rounded understanding of AI technologies and their practical uses.
參考書目 Reference Books
Beecher, K. (2017). Computational thinking: a beginner's guide to problem-solving and programming. Swindon, UK: BCS.
Krauss, J., & Prottsman, K. (2017). Computational thinking and coding for every student. Thousand Oaks, CA: Sage.
Beecher, K. (2017). Computational thinking: a beginner's guide to problem-solving and programming. Swindon, UK: BCS.
Krauss, J., & Prottsman, K. (2017). Computational thinking and coding for every student. Thousand Oaks, CA: Sage.
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 |
20 | |
|
In-class assignments In-class assignments |
25 | |
|
Project Project |
30 | |
|
Midterm Exam Midterm Exam |
25 |
授課大綱 Course Plan
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時間地點 Time & Room |
學分 Credits |
操作 Actions |
|---|---|---|---|---|---|
|
必修-2829
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英授 Taught in English | 永續學程2 鄧佳恩 | 一/2,3[M023] | 2-0 | 詳細資訊 Details |
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英授 Taught in English | 國際學院不分系2 鄧佳恩 | 一/2,3[M023] | 2-0 | 詳細資訊 Details |
課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1156
- 學分 Credit: 2-0
-
上課時間 Course Time:Friday/3,4[M024]
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授課教師 Teacher:黃尹姿
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修課班級 Class:管院國際菁英組1
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選課備註 Memo:全英語授課，限管院國際菁英組人工加選修課，可抵免「AI思維與程式設計」學分。
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