Course Description: This course is intended to teach numerical computing, symbolic computing, and graphical visualization through the use of mathematical and computational software so as to familiarize the students with computing skills.

Course Format: Material related to the laboratory will be introduced, explained and demonstrated in the lecture.
Students then use matlab in the lab to get the answers required on the lab assignment sheet.

Lecture Hours: Every Monday 12:30pm-1:15pm (Session B) and 1:30pm-2:15pm (Session A) at our Departmental Computer Laboratory (RM 232B, LSB)

Lab Hours: Every Thursday 2:30pm-4:15pm (Session A) and 4:30pm-6:15pm (Session B) at our Departmental Computer Laboratory (Rm 232B, LSB)

Office Hours: Every Monday 11:00am-noon, please send me an email (rchan@math.cuhk.edu.hk) or call me first (3943-7970), if possible.

About the Lecturer: Raymond Chan

About the Tutors:
Kelvin CHAN
Rihuan KE
Chao WANG
Office: Rm 222B, Lady Shaw Building.
Office Hours: Please email us to arrange an appointment.

Why study Matlab?

Matlab is ubiquitous. If you need computing in your research or teaching, you cannot avoid using Matlab. Here are just some Matlab courses in other disciplines:

• Matlab for physicists

• Matlab for chemical engineers

• Matlab for biologists

• Matlab for computer scientists

• Matlab for financial engineers

• Matlab for psychologists

• ...

Textbooks:

• Matlab Lecture Notes prepared by the teacher.
• Matlab online help by Mathworks. A complete guide on Matlab, useful for the first part of the course.
• Symbolic Math Toolbox, by Mathworks itself. We will use this in the second part of the course where we talk about symbolic computation.

• Matlab manual from Bath University
• Matlab manual from MathWorks
• Matlab online help by MathWorks
• Matlab tutorial from Tutorialspoint

• (MATLAB Books) Munther Gdeisat, Francis Lilley, Matlab by example, London ; Waltham, Mass.: Elsevier, 2013. Stormy Attaway, MATLAB: a practical introduction to programming and problem solving, Waltham, MA: Butterworth-Heinemann Ltd, 2013.
• (MATLAB Books) Stormy Attaway, MATLAB: a practical introduction to programming and problem solving, Waltham, MA: Butterworth-Heinemann Ltd, 2013.
• (MATLAB Books) Brian H. Hahn, Daniel T. Valentine, Essential MATLAB for engineers and scientists, Waltham, Mass.: Academic Press, 2013.
• (Numerical Methods) Gerald W. Recktenwald, Numerical methods with MATLAB: implementations and applications, Upper Saddle River, N.J.: Prentice Hall, 2000
• (Numerical Methods) G.R. Lindfield, J.E.T. Penn, Numerical methods, Waltham, Mass.: Academic Press, 2012
• (Mathematical Modelling) Leonid Burstein, Primary MATLAB for life sciences, SAIF Zone, Sharjah, UAE: Bentham Science Publishers, 2013
• (Mathematical Modelling) Pascal Wallisch, MATLAB for neuroscientists, Burlington: Elsevier Science, 2013
• (Mathematical Modelling) Vladimir Rovenski, Modeling of Curves and Surfaces with MATLAB, New York, NY: Springer Science+Business Media, LLC, 2010
• (Mathematical Modelling) Todd Young, Martin J. Mohlenkamp, Introduction to Numerical Methods and Matlab Programming for Engineers
• (Mathematical Modelling) Allen B. Downey, Physical Modeling in MATLAB
• (Optimization) P. Venkataraman, Applied optimization with MATLAB programming, Hoboken, N.J. : John Wiley & Sons, 2009
• (Optimization) Michael C. Ferris, Olvi L. Mangasarian, Stephen J. Wright, Linear programming with MATLAB, Philadelphia, Pa.: Society for Industrial and Applied Mathematics, 2007

Matlab Emulators:

Matlab is expensive to buy. If you would like to use Matlab at home, here are some free alternatives.

• Scilab a free emulator of Matlab developed by Chinese and French Governments. Scilab Tutorial.
• Octave another free emulator of Matlab. Apps version available for smart phones. Octave Manual.

Teaching Schedule:

• Lecture 1: What is Matlab and Matlab Demo
• Lecture 2: Matlab Basics
• Lecture 3: Graphics and 2D Plots
• Lecture 4: 3D and 4D Plots
• Lecture 5: Matrix Operations
• Lecture 6: Logical Flow
• Lecture 7: Scripts
• Lecture 8: Functions
• Lecture 9: More on Scripts and Functions
• Lecture 10: File I/O
• Lecture 11: Symbolic Calculations
• Lecture 12: Symbolic Operators
• Lecture 13: Symbolic Computations/Visualization

• Lecture notes
  
• Announcements, Lab assignments, homework assignment and solutions

Assessment Scheme:

• Lab assignments: 60 marks. Absolutely no late assignments will be accepted
• One homework programming assignment: 10 marks (to be handed out in the week of March 20)
  
• Two open-book in-class tests on March 9 and April 20: 30 marks
  

Important Remarks:

• CUHK 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.
  For information on categories of offenses and types of penalties, you should consult this link.
• If you are found cheating (in the tests or in the lab or homework assignments),
  you will automatically get an F grade in this course and your act will be reported
  to the Department for necessary disciplinary actions.
• To avoid copying of programs, your programs may be spot-checked, i.e. you will
  be asked questions regarding the statements in your program.
• Please don't let others copy your programs or results as we don't have a way to
  tell who is copying who and you may be liable to the penalties.