統計學暨實習
Statistics with Recitation
| 節 | 週二 | 週三 |
|---|---|---|
2 09:00–09:50 | 統計學暨實習 3 節連堂 | |
3 10:10–11:00 | ||
4 11:10–12:00 | ||
5 13:20–14:10 | 統計學暨實習 2 節連堂 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
This course introduces students to the core concepts and methods of statistics, with a focus on learning how to use data effectively in the face of uncertainty. Key topics include data visualization, descriptive statistics, probability, statistical inference, and linear regression. Emphasis will be placed on building intuition and practical understanding rather than mathematical rigor. Students will develop the skills to make sense of data, draw meaningful conclusions, and communicate results with clarity and confidence. The tools and thinking developed in this course are valuable for making informed decisions and conducting research across a wide range of disciplines. They also form the foundation of many modern applications, including machine learning and artificial intelligence.
This is an English-medium course. English must be used at all times in class, including for homework, quizzes, exams, and all other course-related work. We will use NTU COOL to share course materials and announcements. You are expected to check both NTU COOL and your school email daily to stay informed and up to date. All cell phones and other communication devices should be turned off or silenced during class. Students may be cold-called to answer questions. Active and voluntary participation in discussions is highly encouraged.
無備註
考試安排:進行 6 次小考(9/23、10/7、10/14、11/11、11/25、12/2)、1 次期中考(10/22)、 1 次期末考(12/10;9:30 AM to 12:00 PM),皆為同步紙本考試。
● Quiz: 30% ● Midterm: 30% ● Final: 40%
教師未提供此項資料
| 週次 | 主題 |
|---|---|
| 第 1 週 | Course introduction |
| 第 2 週 | Introduction to Data |
| 第 3 週 | Summarizing Data |
| 第 4 週 | Probability Sep 23: Quiz 1 (Ch 1-2) |
| 第 5 週 | Distribution of Random Variables |
| 第 6 週 | Foundations for Inference (I) Oct 7: Quiz 2 (Ch 3-4) |
| 第 7 週 | Foundations for Inference (II) Oct 14: Quiz 3 (R skills for Ch 1-4) |
| 第 8 週 | Midterm exam (9:30 AM - 12:00 PM, Oct 22) |
| 第 9 週 | Inference for Categorical Data (I) |
| 第 10 週 | Inference for Categorical Data (II) |
| 第 11 週 | Inference for Numerical Data (I) Nov 11: Quiz 4 (Ch 5-6) |
| 第 12 週 | Inference for Numerical Data (II) |
| 第 13 週 | Introduction to Linear Regression (I) Nov 25: Quiz 5 (Ch 7) |
| 第 14 週 | Introduction to Linear Regression (II) Dec 2: Quiz 6 (R skills for Ch 5-7) |
| 第 15 週 | Final exam (9:30 AM - 12:00 PM, Dec 10) |
| 第 16 週 | Study day (no class) |
指定書目:Diez, D. M., Barr, C. D., & Çetinkaya-Rundel, M. (2019). OpenIntro Statistics (4th ed.). The textbook is available as a free PDF download at https://leanpub.com/openintro-statistics. 參考書目:Rosling, H., Rosling, O., & Rönnlund, A. R. (2018). Factfulness: Ten Reasons We’re Wrong About the World--and Why Things Are Better Than You Think.
- 地點
- 教師未提供此項資料
- 時間
- 教師未提供此項資料
- 聯絡方式
- 教師未提供此項資料