Course: Mathematics and Business

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Course title Mathematics and Business
Course code KMA/MAB
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Winter and summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional, Optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Pospíšil Jan, Ing. Ph.D.
  • Tomiczková Světlana, RNDr. Ph.D.
Course content
Themes of the lectures are framework for concrete lecturers. 1. Analysis of discrete systems 2. Mathematical models of economics laws 3. Chapters of operation research 4. Optimal programming and duality 5. Macroeconomics and financial models 6. Practical diplomacy in international business 7. Financial cotrolling of business establishment 8. Mathematics and statistics in marketing 9. Stochastic modelling 10. Crisis management 11. Social and medial information 12. Business administration 13. Special information systems

Learning activities and teaching methods
Interactive lecture, Lecture with practical applications, Students' portfolio, Skills demonstration, Seminar classes
  • Preparation for an examination (30-60) - 30 hours per semester
  • Presentation preparation (report) (1-10) - 10 hours per semester
  • Contact hours - 39 hours per semester
  • Undergraduate study programme term essay (20-40) - 25 hours per semester
prerequisite
professional knowledge
Available for students with the two semester level of mathematics.
learning outcomes
Student is capable accept mathematical schemes and structures and formulate elementary problems not only mathematical methods,is capable to evaluate the correctness of obtained informations. Completion of this course will ensure that the student is able to: - independently choose and solve a related research question, and - retrieve information according to the subject, analyse and specify it, and - collect empirical material in a systematic and methodologically trustworthy manner, and - analyse the empirical material utilizing the theoretical framework, and - read other studies and their news releases and order studies, and - write a clear report on the findings according to reporting guidelines, and - present the empirical material in a clear and comprehensive way, and - defend the thesis.
teaching methods
Interactive lecture
Skills demonstration
Students' portfolio
Lecture with practical applications
Seminar classes
assessment methods
Oral exam
Seminar work
Individual presentation at a seminar
Recommended literature
  • Rees, Bill. Financial Analysis. London, 1995.


Study plans that include the course
Faculty Study plan (Version) Branch of study Category Recommended year of study Recommended semester
Faculty of Education Studies in Mathematics (13) Mathematics courses 2 Summer
Faculty of Applied Sciences Geomatics (2014) Construction industry, geodesy and cartography 2 Winter
Faculty of Applied Sciences Financial Informatics and Statistics (2007) Economy 3 Summer
Faculty of Applied Sciences Mathematics and Management (2011) Mathematics courses 2 Winter
Faculty of Education Studies in Mathematics (14) Mathematics courses 2 Summer
Faculty of Applied Sciences Financial Informatics and Statistics (1) Economy 3 Summer
Faculty of Applied Sciences Scientific Computing and Modelling (2011) Mathematics courses 2 Summer
Faculty of Education Studies in Mathematics (1) Mathematics courses 2 Summer
Faculty of Applied Sciences Financial Informatics and Statistics (2016) Economy 3 Summer
Faculty of Applied Sciences Financial Informatics and Statistics (2016) Economy 3 Summer
Faculty of Applied Sciences Mathematics for Business Studies (2011) Mathematics courses 3 Summer