| 課程與核心能力關聯配比(%) |
課程目標之教學方法與評量方法 |
| 課程目標 |
核心能力 |
配比(%) |
教學方法 |
評量方法 |
The objectives of this course are to:
- understand its own topic to adopt the suitable study method
- based on its method to design a suitable survey for the investigation
- students know how to do the data management by data cleaning and decoding from words
- after data cleaning, students should know how to examine the data and obtain their outcomes
- students should know how to explain their data outcomes
- students should be able to write the report correctly
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| 1.具有農業和食品產業的專業知能 |
| 2.加強問題分析與邏輯推理之能力 |
| 3.加強溝通技巧 |
| 4.培養生物產業國際觀 |
| 5.養成自主學習之習慣與能力 |
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| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) |
| 週次 |
授課內容 |
| 第1週 |
Course Introduction |
| 第2週 |
Introduction of Data Type: Primary and Secondary Data, and Where to find the Data Source |
| 第3週 |
Data Collection, Sorting, Setting, Management for R |
| 第4週 |
Introduction R-Studio Environment and the Advantages of Using R |
| 第5週 |
Introduction Coding and basic Syntaxes in R |
| 第6週 |
The Probability and Distribution in R |
| 第7週 |
An Introduction to R Graphics |
| 第8週 |
R Plot Extensions |
| 第9週 |
T Tests in R (One Sample, Two Samples, and Independent Groups) |
| 第10週 |
Mid-term presentation |
| 第11週 |
ANOVA Test in R |
| 第12週 |
Introduction of Correlation and Linear Regression in R |
| 第13週 |
Binary Outcome Model in R |
| 第14週 |
Multinomial & Ordered Models in R |
| 第15週 |
Count Data Model in R |
| 第16週 |
Factor Analysis in R |
| 第17週 |
Cluster Analysis in R |
| 第18週 |
Final Reports |
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| 學習評量方式 |
| Assignments (15%), Discussion in Class (15%), Mid-term (30%), Final Exam (40%) |
| 教科書＆參考書目(書名、作者、書局、代理商、說明) |
1. Lander, J. P. 2023. R for Everyone: Advanced Analytics and Graphics. 2nd Ed. Addison-Wesley: Pearson Education, Inc.
2. 鍾振蔚 譯。2023。精通大數據! R 語言：資料分析與應用。第二版。Lander, J. P. 作。臺北市：旗標。
3. Hanck, C., Arnold, M., Gerber, A., and Schmelzer, M. 2020. Introduction to Econometrics with R. University of Duisburg-Essen: Essen, Germany. Available at: https://www.econometrics-with-r.org/index.html
4. You may check on the UCLA Statistical Consulting website for more information:
https://stats.idre.ucla.edu/other/dae/; we may have more template data used from this website. |
| 課程教材（教師個人網址請列在本校內之網址） |
| TBA |
| 課程輔導時間 |
| Appointments |
| 聯合國全球永續發展目標(連結網址) |
| 03.健康與福祉 09.工業、創新基礎建設 12.責任消費與生產 | 提供體驗課程：N |
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