Matlab

Course guarantor:

Miloslav Čapek

Lecturer:

Tutor:

Viktor Adler, Štěpán Bosák, Miloslav Čapek, Jakub Liška, Vojtěch Neuman, Jonáš Tuček

Supervisor:

Department of Electromagnetic Field

Synopsis:

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.

Requirements:

max. 2 missed classes, more missed classes in extreme and justified cases only, project hand-in by the end of semester (grade E or better), test pass (grade E or better)

Syllabus of lectures:

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.

Syllabus of tutorials:

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.

Study Objective:

The course will introduce Matlab environment and will teach students to solve simple problems they can face during their further studies or during their professional career. Students will get acquainted with all basic parts of Matlab as defined e.g. by Certified Matlab Associate Exam.

Study materials:

[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

Note:

The course combines lectures and exercises into one unit, where the lectured topics are immediately practiced as examples.

Further information:

https://cw.fel.cvut.cz/wiki/courses/be0b17mtb/start

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed	roomT2:A3-412 12:45–15:15 (parallel nr.101) Dejvice roomT2:A3-412 Čapek M. Adler V. 16:15–18:45 (parallel nr.102) Dejvice
Thu
Fri

The course is a part of the following study plans: