上課時間
修課班級
課程資訊
選課分析
| Attendance and class participation | 20 | |
| In-class assignments | 25 | |
| Project | 30 | |
| Midterm Exam | 25 |
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.
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.