MATH3290  Mathematical Modeling  2017/18
Announcement
 No tutorial on 13 Sep (Wed).
 (Oct 18) Assignment 1 (Q5) is graded and returned to the assignment box.
 (Oct 19) The files for assignment 2 have been uploaded.
 (Nov 25) Assignment 2 has been graded and returned to the assignment box.
 (Nov 25) Assignment 3 Solution has been uploaded.
 (Nov 25) Assignment 3 (Q1) has been graded and returned to the assignment box.
 (Dec 8) Assignment 4 (Q3) has been graded and returned back to the assignment box.
General Information
Lecturer

Eric Chung
 Office: LSB 205
 Email:
Teaching Assistant

Simon Pun
 Office: LSB 222C
 Tel: 39438570
 Email:
 Office Hours: M56, T13, H13

Xia Wang
 Office: LSB 222C
 Tel: 39438570
 Email:
 Office Hours: M24, W24, H34
Time and Venue
 Lecture: Tuesdays 2:304:15pm at Lady Shaw Bldg LT6; Wednesdays 9:3010:15am at Y.C. Liang Hall 104
 Tutorial: Wednesdays 8:309:15am at Y.C. Liang Hall 104
Course Description
This course is an introduction to mathematical modeling. We will cover some basic mathematical tools for the quantitative description of practical problems arising from physics, biology, economics and engineering. The use of these mathematical models allows us to quantitatively study and provide solutions to these problems. The focus of this course is to give an overview of the mathematical techniques that are commonly used in practice, and illustrate the modeling procedure through some elementary examples.
The following is an outline of this course.
1. Modeling change by difference equations
2. Model fitting and empirical modelling
3. Mathematical tools for big data analysis
4. Simulation modeling
5. Discrete optimization modeling
6. Modeling by graph theory
7. Continuous optimization modeling
8. Modeling with differential equations
Textbooks
 A First Course in Mathematical Modeling, by Giordano, Fox, Horton and Weir. 5th Edition.
Lecture Notes
 Chapter 2
 Chapter 1
 Chapter 3
 Chapter 4
 Chapter on Data Analysis
 Chapter 5
 Chapter 7
 Chapter 8
 Chapter 13
 Chapter 11
 Chapter 12
Class Notes
Tutorial Notes
 MATLAB tutorial (last updated on 12 Sep)
 Tutorial 1 (last updated on 16 Oct)
 Tutorial 2 (last updated on 28 Sep)
 Tutorial 3 (last updated on 4 Oct)
 Tutorial 4 (last updated on 11 Oct)
 Tutorial 5 (last updated on 18 Oct)
 Tutorial 6 (last updated on 25 Oct)
 Tutorial 7 (last updated on 1 Nov)
 Tutorial 8 (last updated on 14 Nov)
 Tutorial 9 (last updated on 15 Nov)
 Tutorial 10 (last updated on 24 Nov)
 Tutorial 11 (last updated on 29 Nov)
Assignments
Solutions
Assessment Scheme
Assignments  10%  
Midterm (Oct 17)  35%  
Final Exam  55% 
Honesty in Academic Work
The Chinese University of Hong Kong places very high importance on honesty in academic work submitted by students, and adopts a policy of zero tolerance on cheating and plagiarism. Any related offence will lead to disciplinary action including termination of studies at the University. Although cases of cheating or plagiarism are rare at the University, everyone should make himself / herself familiar with the content of the following website:
http://www.cuhk.edu.hk/policy/academichonesty/and thereby help avoid any practice that would not be acceptable.
Assessment Policy Last updated: December 07, 2017 11:33:04