INMBKKVM Quantitative Methods

School of Business Administration in Karvina
Winter 2026
Extent and Intensity
16/0/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Radmila Krkošková, Ph.D. (lecturer)
Guaranteed by
Mgr. Radmila Krkošková, Ph.D.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: Mgr. Radmila Krkošková, Ph.D.
Timetable
Sat 17. 10. 8:05–9:40 VS, Sat 21. 11. 8:05–9:40 VS, Sat 19. 12. 8:05–9:40 VS
Prerequisites (in Czech)
FAKULTA(OPF) && TYP_STUDIA(B) && FORMA(K)
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 500 student(s).
Current registration and enrolment status: enrolled: 0/500, only registered: 0/500
fields of study / plans the course is directly associated with
Course objectives
The course Quantitative Methods makes the participants acquainted with basic knowledge and terms from the area of algebra and mathematics so that the students shall be able to use the introduced constructions and explained thought and numerical procedures in their future autonomous study. Further, they will acquire a variety of numerical skills.
Learning outcomes
The student can define the linear space of a matrix, knows the rules for matrix operations, understands the calculation of determinants and their use, is able to apply Cramer's rule for dividing systems of linear equations, is able to distinguish and define arithmetic and geometric sequences, understands the concepts of convergent and divergent sequences, is able to define real functions of one real variable and their properties, knows graphs of elementary functions, understands the concept of the derivative of a function and is able to analyze the course of a function using differential calculus, understands the concepts of indefinite and definite integrals and is able to apply the definite integral in practical problems.
Syllabus
1. Motivational introduction, history of mathematics
2. Algebraic Expressions
3. Equations and Inequalities
4. Matrix calculus
5. Determinants
6. Systems of linear algebraic equations
7. Sequences, limits of sequences
8. Basic functions of one real variable
9. Limits of functions of one real variable
10. Differential calculus of functions of one real variable
11. Using differential calculus of functions of one real variable
12. Integral calculus of functions of one variable and its applications
13. Application of differential and integral calculus in economics and management
Literature
    required literature
  • STOKLASOVÁ, R. Kvantitativní metody. Karviná: SU OPF, 2013. ISBN 978-80-7248-848-3. info
    recommended literature
  • PRICHET, G. D. and J. C. SABER. Mathematics with applications in management and economics. Boston, Sydney: IRWIN, Burr Ridge, 2004. ISBN 0-256-09237-0. info
  • MOUČKA, J. a P. RÁDL. Matematika pro studenty ekonomie. Praha: Grada, 2010. ISBN 978-80-247-32602. info
  • KLŮFA, J. Matematika pro studenty VŠE. Praha: Ekopress, 2011. ISBN 978-80-86929-743. info
  • JIRÁSEK, F. a J. BENDA. Matematika pro bakalářské studium. Praha: Ekopress, 2006. ISBN 80-86929-02-7. info
  • GODULOVÁ, M., J. JANŮ a R. STOKLASOVÁ. Matematika A. Karviná: SU OPF, 2003. ISBN 7248-206-8. info
Teaching methods
Theoretical preparation, group projects.
Assessment methods
assessment: final exam test - written form
Language of instruction
Czech
Teacher's information
Během semestru se konají 3 soustředění po 4 hod. Studenti zpracují seminární práci, která se sestává z řešení vybraných příkladů vztahujících se k probírané látce. Odevzdání seminární práce v předem stanovaném termínu je nutnou podmínkou pro možnost zapsat se na termín zkoušky. Studenti kombinovaného studia mají rozšířené možnosti konzultovat látku včetně seminární práce s vyučujícími předmětu.
Further comments (probably available only in Czech)
Study Materials
The course can also be completed outside the examination period.
The course is also listed under the following terms Winter 2015, Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2020, Winter 2021, Winter 2022, Winter 2023, Winter 2024, Winter 2025.
  • Enrolment Statistics (Winter 2026, recent)
  • Permalink: https://is.slu.cz/course/opf/winter2026/INMBKKVM