B_AMa Applied Mathematics

University of Finance and Administration
Winter 2023
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Hana Lipovská, Ph.D. (seminar tutor)
Guaranteed by
Ing. Hana Lipovská, Ph.D.
Department of Computer Science and Mathematics – Departments – University of Finance and Administration
Contact Person: Ivana Plačková
Timetable of Seminar Groups
B_AMa/cEKKV: each odd Thursday 10:30–11:14 KV206, each odd Thursday 11:15–12:00 KV206, each odd Thursday 12:15–12:59 KV206, each odd Thursday 13:00–13:45 KV206, H. Lipovská
B_AMa/cEKPH: each even Tuesday 14:00–14:44 E007KC, each even Tuesday 14:45–15:30 E007KC, each even Tuesday 15:45–16:29 E007KC, each even Tuesday 16:30–17:15 E007KC, except Tue 14. 11. ; and Tue 14. 11. 14:00–15:30 E230, 15:45–17:15 E230, H. Lipovská
B_AMa/poEKKV: each odd Wednesday 12:15–12:59 KV205, each odd Wednesday 13:00–13:45 KV205, each odd Wednesday 14:00–14:44 KV205, each odd Wednesday 14:45–15:30 KV205, H. Lipovská
B_AMa/pxEKPH: each odd Wednesday 12:15–12:59 E230, each odd Wednesday 13:00–13:45 E230, each odd Wednesday 14:00–14:44 E230, each odd Wednesday 14:45–15:30 E230, H. Lipovská
B_AMa/vEKPH: Fri 13. 10. 14:00–15:30 E225, 15:45–17:15 E225, Sat 4. 11. 14:00–15:30 E227, 15:45–17:15 E227, Fri 24. 11. 14:00–15:30 E225, 15:45–17:15 E225, Fri 15. 12. 14:00–15:30 E225, 15:45–17:15 E225, H. Lipovská
Prerequisites
The student should have knowledge of high school mathematics - especially basic knowledge of functions, solving systems of equations and mathematical symbols.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the course is to provide the student with a set of mathematical knowledge as a tool for more efficient and qualified business management, managerial decision-making or optimization in the creation of a marketing strategy. The resulting knowledge will be an input for the successful study and use of applied statistics, as well as microeconomics and macroeconomics.
Learning outcomes
After successfully completing the course, the student will be able to: - describe some economic and social structures using mathematical functions;
- solve basic optimization tasks (in particular, calculate the value of key parameters when maximizing profit or minimizing costs);
- work with the time value of money;
- define advanced economic and business problems using the language of mathematics and then solve them using freely available software.
Syllabus
  • Mathematical symbolism, reading mathematical notation.
  • Basic mathematical operations, propositional logic, sets.
  • Numbers and counting with them.
  • Matrix algebra.
  • Number sequences and series.
  • Function.
  • Differential calculus.
Literature
    required literature
  • Bauer, L. Lipovská, H. a kol. Matematika v ekonomii a ekonomice. ISBN 978-80-247-4419-3, Grada, Praha 2015.
Teaching methods
Lectures, individual exercises, consultations with the teacher and trainer, seminars and group work.
Assessment methods
Written exam followed by a discussion.
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: 16 hodin KS/semestr.
The course is also listed under the following terms Winter 2024.
  • Enrolment Statistics (Winter 2023, recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/winter2023/B_AMa