Course: Business Mathematics

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Course title Business Mathematics
Course code KMA/SZZME
Organizational form of instruction no contact
Level of course Bachelor
Year of study 3
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Machalová Jitka, doc. RNDr. Ph.D., MBA
Course content
1. Mathematics in macroeconomics, consumption, savings and investments, accumulation of capital, multiplier effect and income determination. 2. Point estimation, interval estimation, hypothesis testing. 3. Basic methods for evaluating the relationship between quantitative and categorical variable. 4. Modeling of time series, trends and seasonal component, random component analysis, Box-Jenkins methodology. 5. Combinatorial optimization methods, exact methods (pros and cons), heuristics in combinatorial optimization (deterministic and stochastic approach, basic algorithms), examples. 6. Introduction to portfolio theory: Markowitz model, Sharpe model, CAPM. 7. Queueing theory models: descriptive models with single-server case with limited and unlimited queue, models of multiple-server case, optimization models. 8. Deterministic and stochastic inventory models (model with no setup cost, basic strategies of multi-period models).

Learning activities and teaching methods
unspecified
Learning outcomes
Realize contexture of basic conceptions and statements concerning statistics, mathematical economics, time series, financial mathematics, mathematical models in economy and combinatorial optimization.
Synthesis Realize contexture of basic conceptions and statements concerning contents of this subject.
Prerequisites
The student has to meet all prerequisites given for the bachalor tudy course Applied Mathematics and all the conditions of Study and Examination Regulations of the Palacký University in Olomouc.

Assessment methods and criteria
unspecified
the student has to understand the subject
Recommended literature


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Business Mathematics (2021) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Summer