Subjects

Mathematics of finance

Course: Systems and methods of decision making

Structural unit: Faculty of Computer Science and Cybernetics

Title

Mathematics of finance

Code

ННД.07

Module type

Обов’язкова дисципліна для ОП

Educational cycle

Second

Year of study when the component is delivered

2018/2019

Semester/trimester when the component is delivered

3 Semester

Number of ECTS credits allocated

Learning outcomes

Know the formulation and means of solving problems of financial mathematics, methods and practices of using financial and economic calculations in solving specific problems. Be able to accrue interest, summarize the characteristics of payment flows, conduct quantitative analysis of financial and credit transactions, evaluate the effectiveness of short-term instruments and long-term financial transactions, including productive investments.

Form of study

Full-time form

Prerequisites and co-requisites

Know: the formulation and means of solving problems of financial mathematics, methods and practices of using financial and economic calculations in solving specific problems. Be able to: accrue interest, summarize the characteristics of payment flows, conduct a quantitative analysis of financial and credit transactions, evaluate the effectiveness of short-term instruments and long-term financial transactions, including productive investments. Possess basic skills: mastering the skills of quantitative analysis of financial transactions of theoretical and practical nature.

Course content

Acquisition by students of basic knowledge about methods of modeling of processes of arbitrary nature, which take place in conditions of uncertainty, with the help of Bayesian networks, solving problems of forecasting, medical and technical diagnostics, making managerial decisions, automatic control.

Recommended or required reading and other learning resources/tools

Planned learning activities and teaching methods

Lecture, practical, test work, independent work.

Assessment methods and criteria

Test work, test.

Language of instruction

ukrainian

Lecturers

This discipline is taught by the following teachers

Pavlo Solomonovych Knopov

Applied Statistics
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Applied Statistics

Faculty of Computer Science and Cybernetics