MATH3290 - Mathematical Modeling - 2016/17

Course Name: 
Course Year: 


  • (Sep 6) No tutorial on Sep 7.
  • (Oct 28) Assignment 1 is marked and returned to the assignment box.
  • (Nov 11) Assignment 2 is marked and returned to the assignment box.
  • (Dec 7) Assignment 3 is marked and returned to the assignment box.
  • (Dec 8) Assignment 4 is marked and returned to the assignment box.

General Information


  • Eric Chung
    • Office: LSB 205
    • Tel: 3943 7972
    • Email:
    • Office Hours: by appointment

Teaching Assistant

  • Pun Sai Mang Simon
    • Office: LSB 222C
    • Email:
    • Office Hours: T1-3, W3-4, H1-3
  • Lam Chi Yeung
    • Office: LSB 222B
    • Email:
    • Office Hours: M7-9, T7-8, W3-4

Time and Venue

  • Lecture: Tuesdays 2:30 - 4:15pm, Lady Shaw Building LT6; Wednesdays 9:30 - 10:15am, Y C Liang Hall 104
  • Tutorial: Wednesdays 8:30 - 9:15am, 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


  • A First Course in Mathematical Modeling, by Giordano, Fox, Horton and Weir. 5th Edition.

Lecture Notes

Tutorial Notes


Quizzes and Exams


Assessment Scheme

Assignments 10%
Mid-term (Oct 11) 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:

and thereby help avoid any practice that would not be acceptable.

Last updated: December 07, 2016 17:19:46