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 10:30am-12:00pm
- (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: M2-4, H2-4, F2-4
-
Xia Wang
- Office: LSB 222C
- Tel: 3943 8570
- Email:
- Office Hours: M1-3, T1-2, H1-3
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% | |
| Mid-term (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