The purpose of the course is learning theoretical bases of data processing using various assessment methods of rating multifaceted relations in data, methods of unknown knowledge and patterns representation, technologies of searching logical patterns and detection of data internal structure, acquiring skills in analysis and using technologies of data preparation, analysis and analytical generalization, mathematical modeling, classification, Pattern Recognition, and using modern application packages on purpose to do automated processing experimental data of research in Economics, technology, banking etc. on computer. This course is aimed at learning and teaching students modern directions in Intelligent Decision Support System, expert systems, machine learning.

Course plan:
audience studies - 72 hrs.
individual work - 126 hrs.
total - 198 hrs.
semester - 5th
yearly project
form of control - exam.