Course: Software for Mathematicians 2

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Course title Software for Mathematicians 2
Course code KMA/SWM2
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Ženčák Pavel, RNDr. Ph.D.
Course content
1. The Matlab development environment. 2. Matrices and their treatment in Matlab. 3. Matrix and array operators. 4. The variables and data types in Matlab. 5. Flow-control functions in Matlab. 6. Input and output parameters of functions, scripts. 7. Basic graphic functions in 2D and their usage. 8. Setting of the graph properties, annotations and labels. 9. Basic graphic functions in 3D and their usage. 10. Polynomial representation in Matlab and polynomial functions. 11. Interpolation in 1D. 12. Computing roots of nonlinear equation, numerical integration and minimization.

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Demonstration, Projection (static, dynamic)
  • Attendace - 39 hours per semester
  • Preparation for the Course Credit - 40 hours per semester
  • Homework for Teaching - 10 hours per semester
Learning outcomes
The course introduces basic graphical and mathematical functions of Matlab and program coding in Matlab.
Knowledge Know the Matlab environment, the basic programming and graphics functions and basic mathematical functions in Matlab.
Prerequisites
Basic computer skills.

Assessment methods and criteria
Student performance, Seminar Work

Credit: solve assigned problems using Matlab.
Recommended literature
  • Getting started with Matlab, Users Guides.
  • F. Dušek. (2000). Matlab a Simulink, úvod do programování. Pardubice.
  • Ženčák, P. (2013). Matlab pro začátečníky i mírně pokročilé. Olomouc: Univerzita Palackého v Olomouci.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Computer Science for Education (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer