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 before. 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.

Have fun programming.

• Textbook
• No textbook.
• References
• MATLAB
• Learning to Program with MATLAB: Building GUI Tools , Craig S. Lent, 2013
• Matlab: A Practical Introduction to Programming and Problem Solving, Stormy Attaway, 3/e, 2013
• Introduction to MATLAB for Engineers, W. J. Palm III, 3/e, 2011
• MATLAB for Engineers, Holly Moore, 3/e, 2011
• MATLAB: An Introduction with Applications, R. V. Dukkipati, 2010
• MATLAB Programming (online resource)
• MATLAB程式設計《入門篇》 (online resource)
• MATLAB程式設計《入門篇》- Exercises, Prof. Roger Jang (張智星)
• 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
• Computer architecture
• Computer Systems: A Programmer's Perspective, Randal E. Bryant and David R. O'Hallaron, 2/e, 2010
• Numerical methods and analysis
• Numerical Computing with MATLAB, Prof. Cleve Moler (online resource)
• Scientific Computing (科學計算), Prof. Roger Jang (張智星)
• Simulink
• Guy and Seth on Simulink
• Additional readings
• 為什麼要學各種程式語言, NiwaSho Lin, 2012.11.21
• 如何成為一個偉大的開發者？, TechOrange, 2014.6.20
• 前蘋果高層史丹佛畢典演講：想換工作，別在辦公室等著別人幫你下決定, TechOrange, 2014.7.7
• 沒神奇公式和捷徑，這11步驟就是成為頂尖Coder的必備條件, TechOrange, 2014.7.9
• 高生產力工程師的兩個特徵：聰明、懶惰, INSIDE, 2014.7.14
• 笑傲「演算法」江湖的獨孤九劍, INSIDE, 2014.8.14
• Google 工程師親授：菜鳥開發者一定要投資的十大標的, TechOrange, 2014.9.17
• 會用這個軟體，將能提高你進Google工作的機率, Techbang, 2014.10.23
• Does MATLAB pass parameters using "call by value" or "call by reference"?, Mathworks, 2012.10.23
• 程式初學者的失落之鑰 - “Computational Thinking”, 程式教育的唐吉訶德, 2015.6.2
• Computational thinking and thinking about computing, Jeannette M Wing, 2008.10.28

The major topics covered in the short course, time permitting, are listed below for your reference.


• Essentials
• MATLAB environment
• Variables and data types
• Simple data structures: arrays, matrices, cell arrays, structure arrays
• Control structures: if-elseif-else, for loop, while loop, switch-case, try-catch
• Analysis of algorithms and vectorization
• Built-in and user-defined functions
• 2D and 3D plotting
• Matrix computation
• User-controlled input and output
• Graphic user interfaces
• Simulink tutorial
• MCC tutorial
• Applications
• Numerical methods
• Optimization
• Statistics and Monte Carlo simulation
• Time series analysis
• Financial engineering

Lecture Notes [ 236, 237, 238, 242, 244, 245, 247, 249, 251, 252, 253, 254, 256, 258 ]

1. 2015.8.10
2. 2015.8.11
3. 2015.8.12, hw#1
4. 2015.8.13
5. 2015.8.14, hw#2
6. 2015.8.17
7. 2015.8.18, hw#3
• Transfer functions and convolution (Thanks to Prof. Boyd, Stanford University)
• Convolution
8. 2015.8.19, hw#4
• Simulink tutorial
9. 2015.8.20
• Graphical User Interface (Thanks to Prof. R. Chang)
• Numerical Methods with MATLAB: Implementations and Applications (From Portland State University)
• SS10: Numerical Methods for Differential Equations (or you can download the material here.) (From Universität Stuttgart)
10. 2015.8.21, solution

Sample Codes

Do not copy and paste if you are beginners. Proceed at your own risk.
1. isPrime.m
2. printStars.m
3. numberGuessing.m
4. ex20150818_1.m (European option price by Monte Carlo)

Grading Policy

1. Programming assignments (50 points)
2. Final exam/project (50 points)

You will earn the certificate for this course if you acquire more than 70 points in total.