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 of the course

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

This course brings main understanding of engineering graphics and develop platform to use engineering information in form of drawings and 3D models. The aim of the curse is to deliver fundamentals of engineering graphics, understand various types of graphic information and find necessary object and its features within documentation. This course introduces students to basic techniques in interpreting details, assembly drawings, 3D representation of objects, architectural drawings, electrical and electronic diagrams, block diagrams and other types of graphics. The student should be able to understand the drawings used in the manufacturing process, assembling and installation of a product. In this course, students are required to prepare their own graphical information as well as documentation often used in industry field.

Course aim

Students will learn how to apply developed theoretical methods of engineering graphic in communications wide range of specialists within project group or teamwork by using professionally prepared graphics.

Learning outcomes

• To understand purpose of technical graphics, know and use them according its classification, know technical documentation conduction rules, be able to understand examples, know main types, form and standards of drawings.
• To understand and explain technical information provided in various forms and types of graphics.
• To prepare main types of technical drawings, operation manuals and other technical information documents according to standards.
• To develop spatial thinking skills by documenting engineering solutions and analyzing technical graphical documentation.

Annotation

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

Aims of the course

This course aims to develop skills for mathematical modelling of basic social and economic 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.

Course description

This course broadens and applies knowledge and skills gained during mathematical analysis and finite mathematics courses. Students learn to solve first and second order differential and difference equations and apply them in economic problem solving. The main attention of this course is focus on static and dynamic optimization techniques and their application in day-to-day problems and decision making of economics and management.

Aims of the course

This course aims to broaden the knowledge and skills in advanced mathematical analysis, which is usually applied in solution of various economic problems.

Learning outcomes

• To be acquainted with concepts and principles of advanced mathematical analysis.
• Be able to formulate, model, and solve static optimization problems.
• Be able to formulate, model, and solve dynamic optimization problems.
• Be able to analyze solved problems and make conclusions.
• Be able to convey information sequentially, logically, accurately and clearly, both in written and oral form.

THE 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).

Annotation

Course covers introduction to linear systems, matrix algebra, linear programming, and various applications.

Aims of the course

This course aims to develop skills for mathematical modelling of basic social and economic 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

The aim of the course is to learn essential programming skills and get hands-on experience by solving real-life problems. The course aims the need for leaders to understand the principles of IT products’ development for effective decision making.

Learning outcomes

• To be able to process information and operate at multiple levels of abstraction.
• To be able to decompose IT problems into parts and solve them efficiently.
• To be able to demonstrate proficiency in a software development environment.
• To be able to assess the correctness, design, and style of code.
• To be able to evaluate the project’s complexity and estimate required resources.