Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
課程提供給學生迴歸分析的理論與方法。當修完此課程,希望學生可以得到迴歸理論的基礎知識以及如何去處理分析資料。 |
1.Professional Knowledge in Statistics Analysis |
4.Mathematical and Statistics Software Skill |
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Quiz |
Assignment |
Oral Presentation |
Attendance |
Written Presentation |
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Course Content and Homework/Schedule/Tests Schedule |
Week |
Course Content |
Week 1 |
Simple regression |
Week 2 |
Simple regression |
Week 3 |
Simple regression |
Week 4 |
Simple regression |
Week 5 |
Multiple regression |
Week 6 |
Multiple regression |
Week 7 |
Multiple regression |
Week 8 |
Multiple regression |
Week 9 |
midterm |
Week 10 |
Tests and confidence regions |
Week 11 |
Tests and confidence regions |
Week 12 |
Indicator variable |
Week 13 |
The normality assumption
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Week 14 |
Outliers |
Week 15 |
Transformation |
Week 16 |
Multicollinearity
Variable selection
funal exam |
self-directed learning |
   01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
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Evaluation |
期中報告35%, 期末報告35%, 作業20%, 點名佔10% |
Textbook & other References |
Textbook:
Introduction to linear regression analysis, Montgomery, Peck, and Vining, 5th ed., 2012, Wiley (滄海)
References:
1. Regression Analysis: Theory, Methods, and Applications, Sen and Srivastava, 1990, Springer (滄海)
2. Introduction to Regression Modeling, Abraham and Ledolter, 2006, Thomson.
3. Applied Linear Regression Models, Kutner, Nachtsheim and Neter, 2005, 4th ed., McGraw-Hill (華泰)
4. Elementary Linear Algebra 8/E, by Ron LARSON, 2017, CENGAGE (高立)
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Teaching Aids & Teacher's Website |
iLearning 系統 |
Office Hours |
時間再公告周知 |
Sustainable Development Goals, SDGs(Link URL) |
04.Quality Education   05.Gender Equality   08.Decent Work and Economic Growth | include experience courses:N |
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