0747 - 統計學暨實習 英授 Taught in English
Statistics with Recitation
教育目標 Course Target
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 data science, machine learning, and artificial intelligence.
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 data science, machine learning, and artificial intelligence.
參考書目 Reference Books
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.
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.
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
QUIZ QUIZ |
30 | |
|
Midterm Midterm |
30 | |
|
Final Final |
40 |
授課大綱 Course Plan
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相似課程 Related Courses
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 0747
- 學分 Credit: 3-0
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上課時間 Course Time:Tuesday/5,6,Wednesday/2,3,4
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授課教師 Teacher:李宗穎/黃家俊/工院教師
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修課班級 Class:共選修2-4(工學院開)
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選課備註 Memo:教育部補助臺灣大專院校人工智慧學程聯盟，開設學校：臺灣大學（李宗穎），上課時間：星期三9:10~12:10 (lecture)、星期二13:20~15:10(optional recitation session)，遠距課程。英語授課。
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