Statistical Model
Course No.: SMJ2221144 Credit(s):2
Course Description
Statistical Model is a mathematical technology course designed to cultivate students' statistical modeling ability, apply computer software to solve problems and test the established models. This course emphasizes case-by-case analysis, balanced and reasonable treatment of theory and application.
Course Learning Outcomes
After studying the course, students can build statistical models using appropriate mathematical tools under appropriate assumptions and apply the appropriate statistical software for problems solving, and make a deep analysis on the results of the original problems, in order to have a deeper understanding of the objects.
Relationship to Other Courses
Pre-requisites: Mathematical Analysis, Advanced Algebra,Ordinary Differential Equations, Mathematical Modeling, Mathematical Software
Textbook and Reading Lists
Textbook:
Qiyuan Jiang, Jinxing Xie, Jun Ye, Mathematical model (4th edition). Higher Education Press, 2011.
Suggested reading lists:
Qixiao Ye, Qiyuan Jiang, Mathematical model. Beijing: China Machine Press, 2009.
Jinxing Xie, Yi Xue, Optimize Modeling and LINDO/LINGO Software. Beijing: Tsinghua University Press, 2005.
Yongji Tan, Xiaoming Zhu, A Course of Case in Mathematical Model of Economic Management. Beijing: Higher Education Press, 2006.
Course Assessment
Item | Title | Weighting (%) |
1 | Task in home | 10% |
2 | Test and Questions in class | 20% |
3 | Final Assignment | 70% |
Course Schedule
Week | Topics | Text |
1 | Mathematical Modeling and Competition Presentation Statistical Model | Chapters 1 |
2-3 | Elementary Model | Chapters 2 |
4-5 | Simple Optimization Model | Chapters 3 |
6-8 | Mathematical Programming Model | Chapters 4 |
9-11 | Differential Equation Model | Chapters 5 |
12 | Stability Model | Chapters 6 |
13 | Difference Equation Model | Chapter 7 |
14-15 | Discrete Model | Chapter 8 |
16-17 | Probability Model | Chapter 9 |
18 | Statistical Regression Model | Chapter 10 |
