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Marius Kušlys is a lecturer and doctoral student at ISM University of Management and Economics. His teaching interests include macroeconomics, mathematics, and statistics. Marius acquired bachelor’s and master’s degrees in economics at ISM University of Management and Economics and since 2016 he is working at ISM.
The course covers topics on limit, differential, and integral calculus as the basis for modelling of various phenomena in economics, management, and engineering.
This course aims to develop skills for mathematical modeling of basic economical, managerial, and engineering problems.
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.
During this course, you will:
Course covers introduction to linear systems, matrix algebra, linear programming, graph theory, introduction to probabilities, game theory, and various applications.
This course aims to develop skills for mathematical modeling of basic social and economical phenomena.