Subjects

Expert systems

Course: Systems and methods of decision making

Structural unit: Faculty of Computer Science and Cybernetics

Title

Expert systems

Code

ДВС.3.05.02

Module type

Вибіркова дисципліна для ОП

Educational cycle

Second

Year of study when the component is delivered

2021/2022

Semester/trimester when the component is delivered

3 Semester

Number of ECTS credits allocated

Learning outcomes

Possession of in-depth professional knowledge and practical skills to optimize the design of systems of any complexity, to solve specific problems of designing intelligent information systems for the management of objects of different physical nature. Understanding the principles and methods of analysis and evaluation of tasks that contribute to the further development of effective use of information resources of decision-making systems.

Form of study

Full-time form

Prerequisites and co-requisites

Know the basic concepts of mathematical analysis, algebra and geometry, differential equations, operations research, control theory, decision theory. Be able to solve typical problems from these courses.

Course content

1. Fundamentals of expert systems design. Basic concepts of expert systems. Expert analysis. Models of knowledge representation in expert systems. Presentation of knowledge. Presentation of poorly structured data and knowle. 2. Methods of design and development of expert systems. Methods and tools for designing expert systems. Analysis of design problems. Subsystems of explanations and conclusions. Models of inference.

Recommended or required reading and other learning resources/tools

Planned learning activities and teaching methods

Independent work, seminars, recommended literature processing, homework.

Assessment methods and criteria

Tеst, semester test.

Language of instruction

ukrainian

Lecturers

This discipline is taught by the following teachers

Serhii М. Ivanov

System analysis and decision making theory
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

System analysis and decision making theory

Faculty of Computer Science and Cybernetics