Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
1. Understand basic theory of statistics
2. Apply statistics to the real life
3. Get familiar with EXCEL for the statistical analysis. |
|
|
Networking/Distance Education |
Exercises |
Discussion |
Lecturing |
|
|
Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
Introduction (Ch1)
|
Week 2 |
Mid-Autumn Festival (holiday) |
Week 3 |
Organizing Data (Ch2) |
Week 4 |
Organizing Data (Ch2)
Average and variation (Ch3) |
Week 5 |
Average and variation (Ch3) |
Week 6 |
First Mid-Term Exam |
Week 7 |
Probability Theory (Ch4) |
Week 8 |
Probability Distribution (Ch5) |
Week 9 |
Normal Curves and Sampling Distribution (Ch6) |
Week 10 |
Normal Curves and Sampling Distribution (Ch6) |
Week 11 |
Second Mid-Term Exam |
Week 12 |
Estimation (Ch7) |
Week 13 |
Estimation (Ch7) |
Week 14 |
Estimation (Ch7) |
Week 15 |
Estimation (Ch7) |
Week 16 |
Final exam |
Week 17 |
Flexible teaching period: The Binomial Probability Distribution and Related Topics (Ch5) |
Week 18 |
Flexible teaching period: Non-parametric Statistics (Ch11) |
|
Evaluation |
Two Midterms 60%
Final Exam 40% |
Textbook & other References |
Understandable Statistics Concepts and Methods(Brase, Brase, Dolor and Seibert), 13th Edition, Cengage (Required)
統計學 方法與應用,林惠玲、陳正倉,雙葉書廊第五版(Recommended) |
Teaching Aids & Teacher's Website |
ilearning |
Office Hours |
By Appointment. |
Sustainable Development Goals, SDGs |
| include experience courses:N |
|