MATH3290  Mathematical Modeling  2018/19
Announcement
 (Aug 31) No tutorial on Sep 5.
 (Sep 18) Assignment 1 has been uploaded.
 (Sep 19) There is a MATLAB tutorial on Sep 26 from 10:30am12:00pm
 (Oct 5) Assignment 1 Solution has been uploaded
 (Oct 12) Assignment 1 (Q3) has been graded.
 (Nov 1) The new due date of Assignment 2 is Nov 9.
 (Nov 17) Assignment 2 (Q2) has been graded.
 (Nov 30) Assignment 3 (Q1) has been graded.
General Information
Lecturer

Eric Chung
 Office: LSB 205
 Tel: 3943 7972
 Email:
Teaching Assistant

Simon Pun
 Office: LSB 222C
 Tel: 3943 8570
 Email:
 Office Hours: M24, H24, F24

Xia Wang
 Office: LSB 222C
 Tel: 3943 8570
 Email:
 Office Hours: M13, T12, H13
Time and Venue
 Lecture: Tuesdays 2:30  4:15pm, Lady Shaw Building LT6; Wednesdays 10:30  11:15am, Institute of Chinese Studies L1
 Tutorial: Wednesdays 11:30am  12:15pm, Institute of Chinese Studies L1
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 1 (Revised on Oct 2)
 Chapter 2
 Chapter 3
 Chapter 4
 Chapter on Data Analysis
 Chapter 5
 Chapter 7
 Chapter 8
 Chapter 13
 Chapter 11
Class Notes
 Sample questions for midterm
 K mean algorithm MATLAB code
 Sample questions for final (revised on Nov 27)
Tutorial Notes
 Tutorial 1
 Tutorial 2
 Tutorial matlab
 Tutorial 3 (revised on Oct 6)
 Tutorial 4
 Tutorial 5
 Tutorial on simplex method
 Tutorial 7
 Tutorial 8
Assignments
Solutions
 Assignment 1 Solution (revised on Oct 8)
 Midterm Solution
 Assignment 2 Solution
 Assignment 3 Solution
Assessment Scheme
Assignments  15%  
Midterm (Oct 16)  35%  
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:
http://www.cuhk.edu.hk/policy/academichonesty/and thereby help avoid any practice that would not be acceptable.
Assessment Policy Last updated: November 30, 2018 16:55:58