BKM_MABA Mathematics for Business Analytics

Faculty of Economics and Administration
Autumn 2023
Extent and Intensity
26/0/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Mgr. Bc. Martin Chvátal, Ph.D. (lecturer)
Ing. Lukáš Kokrda (lecturer)
Ing. Mgr. Markéta Matulová, Ph.D. (seminar tutor)
Guaranteed by
Mgr. Bc. Martin Chvátal, Ph.D.
Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Division of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Timetable
Sat 23. 9. 16:00–19:50 P304, Fri 13. 10. 16:00–19:50 P304, Fri 15. 12. 12:00–15:50 P304
Prerequisites
FORMA(K)
Knowledge of high school Mathematics according to the syllabus of the course Mathematics 0, CPM_MAT0 :
1. Basics of logic and set theory
2. Numeric fields
3. Algebra; polynomials
4. Algebraic expressions
5. Functions
6. Elementary functions
7. Equations and inequalities (linear, quadratic, rational)
8. Equations and inequalities (irrational, parametric)
9. Equations and inequalities (exponential, logarithmic)
10. Analytical geometry
It is convenient to have some bacis knowledge of R.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 35 student(s).
Current registration and enrolment status: enrolled: 15/35, only registered: 0/35, only registered with preference (fields directly associated with the programme): 0/35
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to provide students with the basic tools necessary for quantitative analysis in Microeconomics, Macroeconomics and other courses.
Learning outcomes
After completing the course, students will be able to
- handle routine mathematical operations and calculations.
- understand basic mathematical concepts
- apply procedures on solving practical problems in real situations.
- figure out how to use mathematical tools in economic, commercial, managerial and financial fields.
Syllabus
  • Tutorials:
  • 1. lection
  • Matrices
  • Determinant and inverse matrix
  • Systems of linear equations
  • Linear independence
  • Eigenvalues and eigenvectors
  • 2. lection
  • Eigenvalues and eigenvectors
  • Limits and functions
  • Derivative
  • Application of derivative
  • Optimization of single variable function
  • Functions of two variables
  • Indefinite and definite integral
  • 3. lection
  • Examples
Literature
    recommended literature
  • BAUER, Luboš, Hana LIPOVSKÁ, Miloslav MIKULÍK and Vít MIKULÍK. Matematika v ekonomii a ekonomice (Mathematics in Economics and Economy). první vydání. Praha: Grada Publishing, a.s., 2015, 352 pp. ISBN 978-80-247-4419-3. info
  • HOY, Michael. Mathematics for economics. 3rd ed. Cambridge, Mass.: MIT Press, 2011, xiv, 959. ISBN 9780262516228. info
  • KLŮFA, Jindřich and Jan COUFAL. Matematika. Vyd. 1. Praha: Ekopress, 2003, 222 s. ISBN 8086119769. info
  • DOŠLÁ, Zuzana and Jaromír KUBEN. Diferenciální počet funkcí jedné proměnné (Differential Calculus of Functions of One Variable). 2. vyd. Brno: Masarykova univerzita, 2012, vi, 209. ISBN 9788021058149. info
  • KONEČNÁ, Kateřina and Jan KOLÁČEK. Jak pracovat s jazykem R (How to work with R language). 2011, 84 pp. info
    not specified
  • SYDSÆTER, Knut, Peter J. HAMMOND, Arne STRØM and Andrés M. CARVAJAL. Essential mathematics for economic analysis. 6th edition. Harlow: Pearson, 2021. ISBN 1-292-35928-5. info
Teaching methods
The course is divided into three tutorials. Students are expected to study the literature. There are obligatory auto-correction exercises and homework.
Assessment methods
The course is completed by an exam. The total score consists of:
- the points gained in end-term written test (60%)
- the written homework (40%)Erasmus students have the same conditions.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on the extent and intensity of the course: tutorial 12 hodin.
The course is also listed under the following terms Autumn 2021, Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/econ/autumn2023/BKM_MABA