• know the basics of working with expert systems;
• mastering the practical skills of using expert systems,
• be able to use expert systems to solve problems in international relations and public communications,
• the ability to abstract thinking, analysis and synthesis;
• knowledge and understanding of the subject area and understanding of professional activity;
• the ability to monitor the media for specific events and develop reasoned recommendations for state bodies.
• be able to work with the main software that uses the systems and technologies of expert systems.

pre-requisites:
• Informatics and modern information technologies;
• The theory of decision-making;
• System analysis;
• Mathematical methods in calculations on a computer.

Definition and classification of expert systems. The structure of expert systems. Examples of expert systems. Data and knowledge. Methods of obtaining knowledge. Logical output methods: deductive, inductive, abductive logical output. Methods of finding solutions. Models of presentation of knowledge. Calculate predicates. Systems of production. Fuzzy logic. Semantic Networks and Frames. Tools for developing expert systems. Development of expert systems of international relations and public communications and consultations.

1. Philip A. Schrodt. Рatterns, rules and learning: computational models of international behavior, 2004
2. Lun? YU.O., Kozel A.M., Nikolayev S.M. Ekspertni systemy v mizhnarodnykh vidnosynakh: Navchal?nyy posibnyk. – L?viv: NULP, 2011. – 170 s
3. Subbotin S. O. Podannya y obroblennya znan? u systemakh shtuchnoho intelektu ta pidtrymky pryynyattya rishen?: Navchal?nyy posibnyk. — Zaporizhzhya: ZNTU, 2008. — 341 s.

• written reports on laboratory work, oral questioning, control work (30%)
• final control (70%, control measure, exam): writing-oral form (70%)