Annotation

The course covers topics on limit, differential, and integral calculus as the basis for modelling of various phenomena in economics, management, and engineering.

Aims

This course aims to develop skills for mathematical modeling of basic economical, managerial, and engineering problems.

Learning outcomes

• Ability to operate the main concepts, laws, and techniques of differential and integral calculus.
• Ability to apply these concepts, laws and techniques in economical and managerial analysis and engineering.

Course Description

Multivariate statistics encompass fundamentals behind quantitative data analysis, which is widely applied in data-driven decision making, marketing research and consumer behaviour studies. It is virtually impossible to succeed in the business world in the age of big data without a working knowledge of basic data analysis approaches and statistical software. The aim of the course is to introduce a variety of standard statistical methods used to analyse multivariate data, emphasizing the implementation and interpretations of these methods. The course covers the design of a research project, the choice of suitable multivariate methods, the testing of the fundamental assumptions underlying various methods, the application and evaluation of multivariate methods and interpretation of the results. Practical examples, having a real-world relevance, will be provided and participants involved with hands-on experience of data analysis using SPSS and R/radiant as the main tools. Students will be advised to study relevant chapters from textbook and read articles in academic journals.

Learning Outcomes

During this course, you will:

• Demonstrate knowledge and understanding of the different multivariate data analysis methods most commonly used in business and marketing.
• Apply multivariate statistical techniques to conduct marketing research.
• Determine correct statistical methods for decision-making.
• Interpret the results of statistical analysis and present them in a rigorous, understandable, clear and concise manner.
• Argue the choice of statistical methods when analysing business or marketing case.

Annotation

Course covers introduction to linear systems, matrix algebra, linear programming, graph theory, introduction to probabilities, game theory, and various applications.

Aims

This course aims to develop skills for mathematical modeling of basic social and economical phenomena.

Learning outcomes

• Ability to operate the main concepts, laws, and techniques of finite mathematics.
• Ability to apply these concepts, laws and techniques in modelling economical social phenomena.

Aim of the course

 This course aims to develop skills for mathematical modelling of basic economic, financial, managerial and engineering problems.

Learning outcomes

• Ability to operate the main concepts, laws, and techniques of linear algebra, linear programming, differential and integral calculus.
• Ability to apply these concepts, laws and techniques in economic, financial, managerial analysis and engineering.
• Analytical thinking, active learning and learning strategies, complex problem-solving, critical thinking and analysis, initiative (see Annex II).

Aim of the course

This is a course in macroeconomics, designated for students with knowledge in basic economics. Its objective is to present theoretical knowledge and practical skills required for studying the overall economic structure of a country. Students will know how to analyze the most important macroeconomic phenomena, and the impact of governmental macroeconomic policies on participants in the economy. This course trains skills in comprehension and analysis of macroeconomics policies.

Learning outcomes

• Understand the main theories in macroeconomics.
• Analyze and model macroeconomic phenomena.
• Evaluate governmental fiscal and monetary policy.
• Graphically model macroeconomic situations.
• Relate real economic experiences to theory.
• Identify economic situations at the national and global level.
• Develop researching skills.