查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

114-1 352362 資料科學與視覺化 1 3.0 3 ★ 李鎮宇經管所 23 0 　

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
114-1	352362	資料科學與視覺化	1	3.0	3	★	李鎮宇	經管所	23	0

教學大綱與進度：

教師姓名李鎮宇　教師諮商時間(Office Hours)

Email G.C.Li@ntut.edu.tw

最後更新時間 2025-08-28 15:59:56

課程大綱 This course introduces data science and data visualization through the R language. The course assumes no prior experience in R or data programming. Focusing on applied data science skills, students will be introduced to the methods to tidy, explore, transform, and visualize data. Students will practice them with real data in exercises and projects.

課程進度 Week. Dates: Content I.Data Science 1. Introduction to the course, installation 2. Basic R Commands, packages 3. Data selection, Data formats 4. Workflows, comparisons 5. Data transformations 6. Functions, Iteration II. Visualization 7. Data Preparation (Ch. 1) 8. Introduction to ggplot (Ch. 2) 9. Exam Week 10. Univariate Graphs (Ch. 3), Bivariate Graphs (Ch. 4) 11. Multivariate Graphs (Ch. 5), Maps (Ch. 6) 13. Time Series Graphs (Ch. 7), Statistical Models and Graphs (Ch. 8) III. Practice 13. Project Time 14. Introduction to R libraries and modeling 15. Project Presentation 16. Project Presentation (for those who haven't presented) 17. Exam Week

評量方式與標準 32.5% Homework and Quizzes 32.5% Midterm 35.0% Final Project 100% Total

使用教材、參考書目或其他 【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】

使用外文原文書：是
Textbook: Data Visualization with R, Rob Kabacoff (free) Reference: R in Action: Data Analysis and Graphics with R, Robert Kabacoff Resources available in the library: R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Garrett Grolemund. https://holding.lib.ntut.edu.tw/bookDetail/439156 R資料科學 / Hadley Wickham, Garrett Grolemund著 ; 黃銘偉譯作者：韋克漢 (Wickham, Hadley) https://holding.lib.ntut.edu.tw/bookDetail/457346

課程諮詢管道 Send LINE message or email the instructor.

課程對應SDGs指標 SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG12：負責任的消費與生產（Responsible Consumption and Production）

課程是否導入AI ● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

備註

教師姓名	李鎮宇　教師諮商時間(Office Hours)
Email	G.C.Li@ntut.edu.tw
最後更新時間	2025-08-28 15:59:56
課程大綱	This course introduces data science and data visualization through the R language. The course assumes no prior experience in R or data programming. Focusing on applied data science skills, students will be introduced to the methods to tidy, explore, transform, and visualize data. Students will practice them with real data in exercises and projects.
課程進度	Week. Dates: Content I.Data Science 1. Introduction to the course, installation 2. Basic R Commands, packages 3. Data selection, Data formats 4. Workflows, comparisons 5. Data transformations 6. Functions, Iteration II. Visualization 7. Data Preparation (Ch. 1) 8. Introduction to ggplot (Ch. 2) 9. Exam Week 10. Univariate Graphs (Ch. 3), Bivariate Graphs (Ch. 4) 11. Multivariate Graphs (Ch. 5), Maps (Ch. 6) 13. Time Series Graphs (Ch. 7), Statistical Models and Graphs (Ch. 8) III. Practice 13. Project Time 14. Introduction to R libraries and modeling 15. Project Presentation 16. Project Presentation (for those who haven't presented) 17. Exam Week
評量方式與標準	32.5% Homework and Quizzes 32.5% Midterm 35.0% Final Project 100% Total
使用教材、參考書目或其他	【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】使用外文原文書：是 Textbook: Data Visualization with R, Rob Kabacoff (free) Reference: R in Action: Data Analysis and Graphics with R, Robert Kabacoff Resources available in the library: R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham, Garrett Grolemund. https://holding.lib.ntut.edu.tw/bookDetail/439156 R資料科學 / Hadley Wickham, Garrett Grolemund著 ; 黃銘偉譯作者：韋克漢 (Wickham, Hadley) https://holding.lib.ntut.edu.tw/bookDetail/457346
課程諮詢管道	Send LINE message or email the instructor.
課程對應SDGs指標	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG12：負責任的消費與生產（Responsible Consumption and Production）
課程是否導入AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
備註