Course: Mathematics for computer science

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Course title Mathematics for computer science
Course code KMA/MATE
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study 1
Semester Winter
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
  • Kobera Marek, Mgr. Bc. Ph.D.
Course content
1. The statements and logic 2. Mathematical logic, compound statements and their negations 3. Binary numbers (counting, transfers to the decimal, basic operations, decimals in binary) 4. Linear, quadratic equations and inequalities 5. Vectors, vectors operations 6. Basics of Analytical Geometry (geom. objects, their coordinates and equation) 7. Matrices, matrix operations 8. The determinant of the matrix 9. Systems of linear equations 10. Real functions, overview of functions of one variable (above graphs) 11. Limit and continuity of functions 12. Derivation of a function and its use 13. Basics of Statistics (up to a normal distribution) 14. Application and use of mathematical software

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
Learning outcomes
The university mathematical foundations supplemented by special topics applicable to the computer science.
Students will learn the basic skills of propositional logic and learn about the binary digits. They will learn the fundamentals of linear algebra and will be able to solve the basic problems of the use of matrices and determinants. In mathematical analysis they will learn the basics of calculus and will be able to solve basic problems of limits and derivations.
Knowledge of high school mathematics.

Assessment methods and criteria
Student performance assessment, Combined exam, Test

Participation in seminars, passing three tests.
Recommended literature
  • COUFAL, J., KLŮFA, J.:. Matematika pro ekonomické fakulty 1. Praha : Ekopress, 2005.
  • KAŇKA, M., HENZLER, J.:. Matematika pro ekonomické fakulty 2. Praha : Ekopres, 2005.
  • TLUSTÝ, P.:. Lineární algebra a její aplikace. České Budějovice : JU PF, 2003.

Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Education Study plan (Version): information technology and e-learning (2) Category: Pedagogy, teacher training and social care 1 Recommended year of study:1, Recommended semester: Winter