Course: Software for Mathematicians 3

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Course title Software for Mathematicians 3
Course code KMA/SWM3
Organizational form of instruction Lecture + Seminar
Level of course Bachelor
Year of study not specified
Semester Winter
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. Character and string variables in Matlab and functions to work with them. 2. Structures and cell arrays in Matlab and functions for working with them. 3. Implementations of objects in Matlab and the basic principles of working with them. 4. Basic overview of graphic objects and functions for working with them. 5. Options for Matlab programming using graphical user interface. 6. Bar, pie charts and histograms graphs. Discreet, vector and combined graphs in Matlab. Contour plots. 7. Surface plots of nonuniformly sampled data. 8. Symbolic computing and function for function plot. 9. Two-dimensional interpolation of uniformly and nonuniformly sampled data. 10. Introduction to the numerical solution of ordinary differential equations using Matlab. 11. Bitmap images in Matlab. 12. Image object properties and their use in printing and creating image sequences and animations in Matlab.

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Demonstration, Projection (static, dynamic)
  • Attendace - 39 hours per semester
  • Homework for Teaching - 10 hours per semester
  • Preparation for the Course Credit - 40 hours per semester
Learning outcomes
The course introduces more advanced functions of Matlab.
Knowledge Know the advanced programming ang graphic capabilities of Matlab and Symbolic Math Toolbox
Prerequisites
Basic knowledge of Matlab.
KMA/SWM2

Assessment methods and criteria
Student performance, Seminar Work

Credit: solve assigned problems using Matlab.
Recommended literature
  • Getting started with Matlab, Users Guides.
  • F. Dušek, D. Honc. (2005). Matlab a Simulink. Univerzita 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 2 Recommended year of study:2, Recommended semester: Winter