Subject description - B0B17MTB

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B0B17MTB Matlab
Roles:  Extent of teaching:0P+3C
Department:13117 Language of teaching:CS
Guarantors:Čapek M. Completion:KZ
Lecturers:  Credits:4
Tutors:Too many persons Semester:Z,L

Web page:

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

Anotation:

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.

Content:

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.

Course outlines:

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.

Exercises outline:

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.

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

Requirements:

Max. 2 absence, více absencí pouze ve velmi vážných a odůvodněných případech (přičemž se nesnižují požadavky na zvládnutí látky), odevzdání projektu do konce semestru (projekt musí být hodnocen známkou E a lepší), absolvování testů (s výsledkem E a lepším), absolvování testů a domacích úkolů v semestru. Nutná znalost základních konceptů programování (postačuje středoškolská úroveň), výhodou je absolvování základních kurzů matematiky (1. semestr).

Keywords:

Matlab, numerical methods, numerical analysis

Subject is included into these academic programs:

Program Branch Role Recommended semester


Page updated 25.4.2025 14:53:17, semester: L/2024-5, L/2026-7, Z,L/2025-6, Z/2026-7, Z/2024-5, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)