本課程的目的在培養學生具備數據分析的邏輯思維與撰寫程式的能力。本課程以數據分析邏輯來引導學生思考，並以案例活動引導學生以合作學習來解決問題，再逐步引導學生瞭解Python程式語法、學習AI相關新知與問題導向學習(PBL)案例實作體驗。完成本課程後學生將能使用Python撰寫程式，進行數據資料分析。The purpose of this course is to cultivate students' logical thinking and programming abilities in data analysis. This course uses data analysis logic to guide students' thinking, and uses case activities to guide students to solve problems through cooperative learning. It then gradually guides students to understand Python programming syntax, learn new AI-related knowledge, and experience problem-based learning (PBL) case implementation. After completing this course, students will be able to use Python to write programs for data analysis.
1. 施威銘研究室(2022)。跨領域學Python：資料科學基礎養成。旗標。
2. Morgan, P. (2016). Data analysis from scratch with Python. AI Sciences.
3. Ozdemir, S. (2016). Principles of data science. Birmingham-Mumbai.
1. Shi Weiming Research Laboratory (2022). Learning Python across fields: Developing the basics of data science. flag.
2. Morgan, P. (2016). Data analysis from scratch with Python. AI Sciences.
3. Ozdemir, S. (2016). Principles of data science. Birmingham-Mumbai.
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Homework |
50 | 每週實作作業 |
| 期中考期中考 midterm exam |
20 | 基礎Python程式設計測驗 |
| 期末專題期末專題 Final topic |
20 | 基礎Python程式設計應用於案例資料分析 |
| 出席出席 Attend |
10 | 每週上課點名成績 |
