Course: Computer Practicum (Matlab)

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Course title Computer Practicum (Matlab)
Course code KMA/KPPM
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Černá Dana, doc. RNDr. Ph.D.
Course content
The seminar takes place in a computer lab and is focused on the software product Matlab. It covers the basic features of Matlab and its practical use in solving mathematical problems. 1. Software Matlab and Octave. Working with variables, basic functions, and creating scripts. 2. Creating vectors, working with vectors, creating matrices, matrix operations. 3. Matrix functions, solving linear algebra problems. 4. 2D plots - the plot command for visualizing functions, curves, and surfaces. 5. 2D plots - subplots, other types of plots. 6. 3D plots - visualization of curves, surfaces, and solids. 7. Creating live scripts, for and while loops. 8. Creating functions, conditional statements, relational operators, and logical operators. 9. Solving equations and systems of equations. 10. Symbolic computations - manipulation of mathematical expressions, linear algebra problems. 11. Symbolic computations - limits, derivatives, integrals, series. 12-13. Solving mathematical problems in Matlab. 14. Test.

Learning activities and teaching methods
Laboratory work
  • Class attendance - 8 hours per semester
  • Preparation for credit - 28 hours per semester
  • Home preparation for classes - 4 hours per semester
Learning outcomes
The course is focused on Matlab and Octave software for solving basic mathematical problems, i.e. linear algebra problems, graphical display of points, functions, curves and surfaces, problems with polynomials and mathematical analysis problems.
Basic functionality of Matlab and how to use it for a mathematical task solving.
Prerequisites
Basic linear algebra and computer skills.

Assessment methods and criteria
Student's performance analysis

Credit: Active participation on seminars, tests, semestral work.
Recommended literature
  • Základní dokumentace k Matlabu..
  • Dušek, F.:. Matlab a Simulink. [Skripta Univerzity Pardubice]..
  • Ralston, A.:. Základy numerické matematiky.. Academia Praha, 1978.
  • Vitásek, E.:. Numerické metody.. Praha, SNTL, 1987.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester