Introduction to MATLAB Programming with Applications

Course Description

To the students,

This course is designed for the students who want to learn MATLAB programming without any experiences. The following topics will be covered:


• MATLAB basics,
• Programming basics,
• Simple theories with doable examples implemented in MATLAB.

The students are expected to be capable to implement programs with MATLAB independently after 30 hours of lectures. Furthermore, I expect you to learn other programming languages without pains in the future. You will be teamed up with 2 to 3 students. Team members will cowork for a final project, whose topic is determined by yourself. The only requirement in final projects is that MATLAB is the main programming tool. Have fun programming.

• Textbook
  • No textbook.
• References
  • MATLAB
    • MATLAB for Engineers, Holly Moore, 3/e, 2011
    • Introduction to MATLAB for Engineers, W. J. Palm III, 3/e, 2011
    • MATLAB: An Introduction with Applications, R. V. Dukkipati, 2010
    • MATLAB程式設計入門篇。張智星。碁峰
    • MATLAB程式設計進階篇。張智星。碁峰
    • MATLAB Programming (online resource)
  • Linear Algebra
    • Linear Algebra, Stephen H. Friedberg, Arnold J. Insel, and Lawrence E. Spence, 4/e, 2002
    • Matrix Computations, Gene H. Golub and Charles F. van Van Loan, 3/e, 1996
  • Data Structures and Algorithms
    • Data Structures and Algorithms in C++, Michael T. Goodrich, Roberto Tamassia, and David M. Mount, 2/e, 2011
    • Algorithms, Sanjoy Dasgupta, Christos Papadimitriou, Umesh Vazirani, 2006
    • 演算法筆記 (online resource)
  • Numerical Methods and Analysis
  • Numerical Computing with MATLAB, Prof. Cleve Moler (online resource)
  • Statistics
    • Statistical Inference, G. Casella and R. L. Berger, 2/e, 2001
    • Mathematical Statistics and Data Analysis, John A. Rice, 3/e, 2006
  • Monte Carlo Simulation
    • Monte Carlo Methods in Financial Engineering, Paul Glasserman, 2003
  • Time Series Analysis
    • Analysis of Financial Time Series, Ruey S. Tsay, 2010

Lectures

1. 2014 2/19 Introduction, MATLAB Basics
2. 2014 2/22 MATLAB: Plotting
3. 2014 2/26 MATLAB: Matrix Computation
4. 2014 3/1 MATLAB: User-Defined Functions
5. 2014 3/8 MATLAB: Graph-User-Interface
   • matlabch03.pdf
6. 2014 3/5 MATLAB: User-Controlled Input and Output
   • gausselim_f.m
   • hw_1.m
   • hw_12.m
   • init_matrix.m
   • slide5-2
7. 2014 3/8 MATLAB: Graph-User-Interface
   • gui_lecture
8. 2014 3/12 Application: Optimization
   • 20140315
9. 2014 3/15
10. 2014 3/19 Application: Monte Carlo Simulation
11. 2014 3/22 停課乙次
12. 2014 3/26 Application: Dynamic Programming
    • 20140326
13. 2014 3/29 Algorithms: Sorting
• 20140329
14. 2014 4/2 Application: Bootstrapping
• 20140402

Grading Policy

1. Participation (48 pts)
2. Final Project (52 pts)

You will get the certificate for this course if you acquire more than 60 points in the grade.