Matlab

Course guarantor:

Miloslav Čapek

Lecturer:

Tutor:

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

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:

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:

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:

Further information:

https://cw.fel.cvut.cz/wiki/courses/B0B17MTB

Time-table for winter 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	roomT2:A3-412 Čapek M. Adler V. 16:15–18:45 (parallel nr.101) Dejvice
Tue
Wed
Thu
Fri

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans: