113年第1學期-1156 AI Thinking & Basic Program 課程資訊
評分方式
評分項目 | 配分比例 | 說明 |
---|---|---|
Attendance and class participation | 20 | |
In-class assignments | 25 | |
Project | 30 | |
Midterm Exam | 25 |
選課分析
本課程名額為 70人,已有69 人選讀,尚餘名額1人。
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授課教師
黃尹姿教育目標
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.
課程資訊
基本資料
必修課,學分數:2-0
上課時間:五/3,4[M024]
修課班級:管院國際菁英組1
修課年級:1年級以上
選課備註: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。
教師與教學助理
授課教師:黃尹姿
大班TA或教學助理:尚無資料
Office HourFriday 10:30-12:00 ( by appointment ) [M424]
授課大綱
授課大綱:開啟授課大綱(授課計畫表)
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參考書目
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.
開課紀錄
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