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. Learning regression analysis
2. Application |
1.Indenpendent Analysis |
4.Science Methods with Applications |
|
|
Lecturing |
Exercises |
Discussion |
|
Attendance |
Assignment |
Oral Presentation |
|
Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
09/06 Introduction |
Week 2 |
09/13 Ch. 1 A Review of Basic Concepts |
Week 3 |
09/20 Ch. 2 Introduction to Regression Analysis |
Week 4 |
09/27 Ch. 3 Simple Linear Regression |
Week 5 |
10/04 Ch. 3 Simple Linear Regression |
Week 6 |
10/11 Ch. 4 Multiple Regression Models |
Week 7 |
10/18 Ch. 5 Principles of Model Building |
Week 8 |
10/25 Case Study I |
Week 9 |
11/01 Ch. 6 Variable Screening Methods |
Week 10 |
11/08 Field Trip |
Week 11 |
11/15 Midterm (Open-book exam) |
Week 12 |
11/22 Ch. 7 Some Regression Pitfalls |
Week 13 |
11/29 Ch. 8 Residual Analysis |
Week 14 |
12/06 Ch. 9 Special Topics in Regression |
Week 15 |
12/13 Ch. 10 Introduction to Time Series Modeling and Forecasting |
Week 16 |
2/20 Final Presentationsϴ/27 Self-learningϩ/03 Self-learning |
self-directed learning |
|
|
Evaluation |
Participation: 10%; Assignment: 30%; Midterm: 30%; Final Presentation: 30% |
Textbook & other References |
Mendenhall, W., and T. Sincich, 2012, A Second Course in Statistics: Regression Analysis, seventh edition, Prentice-Hall. |
Teaching Aids & Teacher's Website |
|
Office Hours |
Friday 14:00~16:00
Tel: (04)2284-0392 ext. 764
E-mail: jlu@dragon.nchu.edu.tw
|
Sustainable Development Goals, SDGs(Link URL) |
| include experience courses:N |
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