ESF:BKM_MABA Mathematics for Business - Course Information

BKM_MABA Mathematics for Business Analytics

Extent and Intensity

26/0/0. 6 credit(s). Type of Completion: zk (examination).

Teacher(s)

Mgr. Bc. Martin Chvátal, Ph.D. (lecturer)
Ing. Mgr. Markéta Matulová, Ph.D. (seminar tutor)

Guaranteed by

Mgr. Bc. Martin Chvátal, Ph.D.
Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration
Contact Person: Lenka Hráčková
Supplier department: Department of Applied Mathematics and Computer Science – Faculty of Economics and Administration

Timetable

Sat 18. 9. 16:00–19:50 P103, Sat 9. 10. 12:00–15:50 P103, Fri 3. 12. 16:00–19:50 P304

Prerequisites

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.

fields of study / plans the course is directly associated with

• Business Analytics (programme ESF, B-BA)

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
• 2. lection
• Eigenvalues and eigenvectors
• Limits and functions
• Derivative
• Application of derivative
• 3. lection
• Optimization of single variable function
• Functions of two variables
• Indefinite and definite integral

Literature

required literature
• SYDSÆTER, Knut, Peter J. HAMMOND, Arne STRØM and Andrés M. CARVAJAL. Essential mathematics for economic analysis. Fifth edition. Harlow: Pearson. xvi, 807. ISBN 9781292074610. 2016. info

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. 352 pp. ISBN 978-80-247-4419-3. 2015. info
• HOY, Michael. Mathematics for economics. 3rd ed. Cambridge, Mass.: MIT Press. xiv, 959. ISBN 9780262516228. 2011. info
• PAVOL, Zlatoš. Lineárna algebra a geometria (Linear algebra and geometry). Bratislava: Albert Marenčin PT, s.r.o. 741 pp. ISBN 978-80-8114-111-9. 2011. info
• DOŠLÁ, Zuzana and Jaromír KUBEN. Diferenciální počet funkcí jedné proměnné (Differential Calculus of Functions of One Variable). 2. vyd. Brno: Masarykova univerzita. vi, 209. ISBN 9788021058149. 2012. info
• KONEČNÁ, Kateřina and Jan KOLÁČEK. Jak pracovat s jazykem R (How to work with R language). 84 pp. 2011. 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%)

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.

• Enrolment Statistics (Autumn 2021, recent)
  
• Permalink: https://is.muni.cz/course/econ/autumn2021/BKM_MABA