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 |
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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 I |
Week 10 |
Probability and distributions II |
Week 11 |
Descriptive statistics and graphics I |
Week 12 |
Descriptive statistics and graphics II |
Week 13 |
Basic concepts of statistical inference |
Week 14 |
One- and two-sample tests |
Week 15 |
ANOVA |
Week 16 |
Regression and Correlation |
Week 17 |
Tabular data |
Week 18 |
Final examination |
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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%
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Textbook & other References |
Introductory Statistics with R by Peter Dalgaard (2008)
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Teaching Aids & Teacher's Website |
置於 iLearning
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Office Hours |
(四) 789
(Thus.) 789 |
Sustainable Development Goals, SDGs |
  | include experience courses:N |
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