MATH3290 - Mathematical Modeling - 2019/20

Course Name: 
Course Year: 


  • January 6: No tutorial on January 7
  • January 13:There will be a tutorial on Mathlab on January 21 during the tutorial section
  • January 21:Assignment 1 has been uploaded
  • January 30: Submission of assignment 1 is postponed. Updated due date:Feb. 24 before 5:00pm. You can submit the scanned copy to Blackboard
  • Teaching will be resumed on Feb. 17 using Zoom. Please check this webpage again later for update on further information. Emails will also send to your CUHK's account.
  • online submission of homeworks will be arranged. Please check this webpage again later for update on further information. Emails will also send to your CUHK's account.
  • The midterm will be postponed to a later date. An announcement will be made later.
  • Familiar yourself with the ZOOM Cloud Meeting (see eLearning page of CUHK website for detial) as soon as possible. The link, the meeting ID, and the password of our ZOOM meeting has been sent to your cuhk account.

General Information


  • Lina Zhao
    • Office: LSB 233
    • Tel: 3943 7956
    • Email:

Teaching Assistant

  • Jianwei Niu
    • Office: LSB 222A
    • Tel: 3943 3575
    • Email:
  • Shiqi Tang
    • Office: LSB 222B
    • Tel: 3943 7963
    • Email:

Time and Venue

  • Lecture: Monday 16:30-18:15, LSB LT4;Tuesday 13:30-14:15, LSB LT4
  • Tutorial: Tuesday 12:30-13:15, LSB LT4

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

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


Assessment Scheme

Assignments 10%
Mid-term(Feb 24) 40%
Final Exam 50%

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.

Assessment Policy

Last updated: February 24, 2020 21:06:06