Description:

Students will learn how to efficiently use both basic and advanced Matlab functions, including graphic user interface design. Emphasis will be put on problem analysis and implementation, understanding Matlab documentation, debugging user-defined functions and independent work with Matlab (proved by work on the project). Knowledge acquired can be applied to a broad spectra of courses taught at FEE (processing labs, final projects) and can be used in future professional career.

Contents:

1. Motivation and course overview. MATLAB environment. Basic mathematical operations.
2. MATLAB Editor. Generating matrices and vectors. Matrix operations.
3. Vectorization and indexing. Relational and logical operators. First homework assignment.
4. Loops and branching in programs.
5. Functions. Namespaces. Second homework assignment.
6. Debugger. Error handling. Code profiling. Midterm test.
7. Advanced data types: strings, structures, cells, and tables.
8. Data visualization. Plot modification. Project selection.
9. Static graphical interface.
10. Dynamic graphical interface. Third homework assignment.
11. Object-oriented programming. Time classes.
12. Demonstration of advanced MATLAB usage.
13. Bonus lecture on a selected topic.
14. Final test and project presentations.

Seminar contents:

1. Motivation and course overview. MATLAB environment. Basic mathematical operations.
2. MATLAB Editor. Generating matrices and vectors. Matrix operations.
3. Vectorization and indexing. Relational and logical operators. First homework assignment.
4. Loops and branching in programs.
5. Functions. Namespaces. Second homework assignment.
6. Debugger. Error handling. Code profiling. Midterm test.
7. Advanced data types: strings, structures, cells, and tables.
8. Data visualization. Plot modification. Project selection.
9. Static graphical interface.
10. Dynamic graphical interface. Third homework assignment.
11. Object-oriented programming. Time classes.
12. Demonstration of advanced MATLAB usage.
13. Bonus lecture on a selected topic.
14. Final test and project presentations.

Recommended literature:

[1] Attaway, S.: A Practical Introduction to Programming and Problem Solving, 3rd ed., Butterworth-Heinemann, 2013.
[2] Hahn, B., Valentine, D.: Essential Matlab for Engineers and Scientists, 5th ed., Academic Press, 2013.
[3] Kiusalaas, J.: Numerical Methods in Engineering with Matlab. Cambridge University Press, 2005.
[4] Mathews, J. H., Fink, K. D.: Numerical Methods Using Matlab. Prentice Hall, 1999

Keywords:

Matlab, numerical methods, numerical analysis

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar