OPF:INFNPAXS Expert systems - Course Information

INFNPAXS Expert systems

Extent and Intensity

2/1/0. 4 credit(s). Type of Completion: zk (examination).

Guaranteed by

Department of Informatics and Mathematics – School of Business Administration in Karvina

Course Enrolment Limitations

The course is offered to students of any study field.

Course objectives

We entered in the information society. It means that executives, managers, share-holders, investors, employees etc. must react instantaneously to their business environment and make on-the-spot decisions that will impact their companies? competitive position in the global market. In today?s turbulent and chaotic environment is absolutely important that managers are flexible. The ability to acquire adequate working methods when processing data, information and knowledge dealing with current problems forms an inevitable part of managers? professional competence and qualifications. Knowledge, expertise and know-how become increasingly recognized as strategic factors in securing long-term competitiveness of commercial companies. ?Unchangeable truths?, like orientation to the models that are satisfactory for each company, belong to the history. Artificial Intelligence today is one of the most active research areas in technology. Expert Systems, which ere intended to represent the problem solving knowledge of human experts in a domain, constitutes the Artificial Intelligence field where there has been most effort and success in recent years. Expert Systems represent a first generation of computer technology which aim to encode mediate factual and heuristic knowledge within well defined domains. Permanently to receive the right and relevant purposefully oriented data, information and knowledge are a key source of condition for successful implementation of towards to creative work. The resource that forces the company is knowledge. How effectively to use the knowledge? Expert Systems are the answer on this question.

Syllabus

• 1. Artificial Intelligence. History of Artificial Intelligence, Artificial Intelligence as science, definition and characteristics, main scientists, MIT, Information Society.
  2. Domains of Artificial Intelligence. Main domains of Artificial Intelligence, commercial uses of Artificial Intelligence, problem solving, intelligent robots, machine recognition, natural language, examples of practical using.
  3. Knowledge representation. Data, information, knowledge, definitions, differences, using and processing by computers, semantics nets, making rules, IF-THEN rules, practical examples.
  4. Linguistic variables. Definition, advantages, differences from alpha-numerical expression, fundamental terms, practical examples.
  5. Fuzzy sets. Definition, advantages, fundamental terms, using fuzzy sets in Expert System, practical examples.
  6. Programming languages in artificial intelligence-LISP. Fundamental terms, examples.
  7. Programming languages in Artificial Intelligence ? PROLOG. Fundamental terms, examples.
  8. State space and scanning. Definition, using making rules, methods of scanning (searching) of the state space, practical examples.
  9. Expert systems. History, fundamental terms, definition, taxonomy and application of Expert System, parts of Expert System, explanation how Expert System work, using Expert Systems in practice, practical examples.
  10. Presentation of expert system.
  11. Architecture and building of expert systems. Steps in building of the Expert System, practical examples.
  12. Human expert, expertises and heuristics. Definitions, fundamental terms, hardware, software, structure of base of knowledge, testing, using in practice, methods, practical examples.
  13. Case study. Practical examples.
  

Teaching methods

Skills demonstration
Seminar classes

Assessment methods

Grade

Language of instruction

English

Further comments (probably available only in Czech)

The course can also be completed outside the examination period.

Teacher's information

Activity	Difficulty [h]
Ostatní studijní zátěž	37
Přednáška	26
Seminář	13
Zkouška	40
Summary	116

• Enrolment Statistics (Winter 2012, recent)
  
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