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
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
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
1. Jackson P. Introduction to expert systems. - M .: Williams, 2001. - 624 p.
2. Naylor K. How to build your expert system. - M .: Energoatomizdat, 1991. - 286 p.
3. Popov EV, Fominykh IB, Kisel EB, Shapot MD Static and dynamic expert systems. M .: Finance and Statistics, 1996. - 320 p.
4. Russell S., Norvig P. Artificial intelligence: a modern approach. - M .: Williams, 2006. - 1408 p.
5. Bratko I. Prologue programming for artificial intelligence. - M .: Mir, 1990 - 560 p.
6. Liu B. Theory and practice of indeterminate programming. - M .: Williams, 2005. - 416 p.
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
Departments
The following departments are involved in teaching the above discipline