Courses in English

4EK602 Games and Decisions

Aims of the course:

The theory of games represents a theoretical background for optimal behavior in economic decision-making situations with more participants. This course examines game-theoretic concepts, models of conflicts, and basic computational algorithms.

Learning outcomes and competencies:

Upon successful completion of this course, students will be able to describe and solve decision-making situations with more participants. They will also be able to find optimal solutions in decisions under risk and uncertainty.

4EK603 Project Management

Aims of the course:

This course teaches how to manage projects of new product development from an interdisciplinary perspective. You will learn how to effectively integrate strategy, marketing, design, and manufacturing decisions not only by discussing state-of-the-art frameworks/tools for effective project development in large organizations but also by developing a new product or service idea in a course project.

Learning outcomes and competencies:

Upon successful completion of this course, students will be able to use the following benefits:

• Comprehension of the managerial and operational challenges associated with each stage of the project process
• Proficiency with a set of managerial tools and methods for effective product and service development
• Recognition of the role of multiple disciplines in developing new products and services and the need for their successful integration

4EK605 Combinatorial Optimization

Aims of the course:

The aim of the course is to make students acquainted with modeling the operations research problems with the use of discrete variables (integer and binary). Elementary and advanced models and methods are used for solutions. Students will work with a special optimization system for solving discrete problems (MPL for Windows). Basic knowledge of programming in VBA for Excel is appreciated.

Learning outcomes and competencies:

Upon successful completion of this course, students will be able to solve real problems using discrete models and methods. The emphasis is on the formulation of mathematical models. Students will get acquainted with optimization methods and heuristic approaches. Graduates of the course will be able to create models in the optimization system MPL for Windows and to make elementary macros in VBA for Excel.

4EK606 Multiple Criteria Decision Making

Aims of the course:

The aim of the course is to explain to students the possibilities of modeling decision-making situations with the existence of multiple evaluation criteria. Explain the possibilities of solving multicriteria evaluation tasks and multicriteria programming tasks. Show the possibilities of applications of explained models and methods of multicriteria decision-making.

Learning outcomes:

Upon successful completion of this course, students will be able to create models of multicriteria decision-making situations, analyze them, select a suitable method of solution and find appropriate solutions.

4EK607 Case Studies in Operations Research

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Learning outcomes:

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4EK608 Advanced Econometrics

This course focuses on advanced econometric techniques that cover topics such as econometric models based on time series, panel data models, linear and nonlinear simultaneous equations, models of vector autoregression, qualitative choice, econometric forecasts, and policy evaluation. Software packages R and RStudio are used in classroom exercises and case studies.

4EK610 Introductory Econometrics

Aims of the course:

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Learning outcomes:

LO

4EK611 International Week

Aims of the course:

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Learning outcomes:

LO

4EK612 Econometrics

Aims of the course:

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Learning outcomes:

LO

4EK615 Mathematical Informatics

Aims of the course:

The aim of the course is to provide students with an overview of mathematical applications in computer science, especially in connection with number storage, numerical stability and computational complexity of algorithms, the use of graph theory in search and database operations, or applications of propositional and predicate logic; exercise classes will complement the lectures with practical examples in Python.

Learning outcomes:

Upon successful completion of the course, students will be able to implement selected algorithms in Python and understand their mathematical foundations, problems related to computational time, and the effect of rounding errors on the computational result.

This course is supported by DataCamp, the intuitive learning platform for data science and analytics.

4EK621 Regression Modelling

Aims of the course:

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Learning outcomes:

LO

4EK631 Econometric Modelling

Aims of the course:

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Learning outcomes:

LO

4EK632 Optimization Modelling

Aims of the course:

The aim of the course is to acquaint students with optimization methods and models and other techniques for decision-making in the economic environment.

Learning outcomes:

Upon successful completion of this course, students will be able to apply standard optimization models for solving real-life decision-making problems. They will also be familiar with selected software packages for mathematical modeling and optimization.