| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
(中) 這門課程將提供學生以實作的方式來學習統計學重要的概念
(Eng.) This course will offer students a practical way to learn important concepts of Statistics
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| Quiz |
| Assignment |
| Oral Presentation |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction to R |
| Week 2 |
R language essentials (Data types) |
| Week 3 |
R language essentials (Basic operations) |
| Week 4 |
R language essentials III (Reading and writing data) |
| Week 5 |
R language essentials IV (Control structures) |
| Week 6 |
R language essentials V (Functions) |
| Week 7 |
R language essentials VI (Loop functions) |
| Week 8 |
Midterm examination |
| Week 9 |
Probability and distributions |
| Week 10 |
Descriptive statistics and graphics |
| Week 11 |
Basic concepts of statistical inference |
| Week 12 |
One- and two-sample tests |
| Week 13 |
ANOVA |
| Week 14 |
Tabular data |
| Week 15 |
Regression and Correlation |
| Week 16 |
Final examination |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
作業: 50%，期中考: 20%，課中討論：10%，期末考: 20%
Homework: 50%, Midterm exam.: 20%, Discussion: 10%, Final exam: 20%
|
| Textbook & other References |
Introductory Statistics with R by Peter Dalgaard (2008)
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| Teaching Aids & Teacher's Website |
iLearning
|
| Office Hours |
(四) 789
(Thur.) 789 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|