Course code 07 74 5030 21
ECTS credits 5
Course title in the language of instruction 
Sztuczna inteligencja i systemy ekspertowe
Course title in Polish Sztuczna inteligencja i systemy ekspertowe
Course title in English 
Arificial Intelligence and Expert Systems
Language of instruction Polish
Delivery methods and course duration
Lecture Tutorials Laboratory Project Seminar Other Total of teaching hours during semester
Contact hours 20 10 0 40
E-learning No No No No No No
Assessment criteria (weightage) 0.00 0.00 0.00
Unit running the course Instytut Informatyki
Course coordinator dr inż. Krzysztof Lichy, dr inż. Przemysław Nowak
Course instructors mgr inż. Paweł Tarasiuk
Prerequisites 
no prerequisities
???PrzedmiotoweEfektyUczenia???
  1. The student defines the differences between the various techniques of AI
  2. The student explains the structure of expert systems
  3. The student uses simple neural networks
  4. The student indentifies basic structures of neural networks
  5. The student interprets the result of process ES
Assessment methods 
none

The final mark is 50% exam mark and 50% of overall mark project and tutorial
???FormyIWarunkiZaliczeniaPrzedmiotu??? W TRAKCIE UZUPEŁNIANIA
???SzczegoloweTresciPrzedmioto??? Lecture: Basic notions of AI. Latest trends in AI research. Expert systems, ES strucure. Tools for ES design. Knowledge representation in ES. Knowledge acquistion for ES. Knowledge processing in ES. Basic of neural networks. Models of neuron. Basic structures of neural networks. Tutorials: Heuristic search. Inference (reasoning rules), forward reasoning, backward reasoning. Neural network training. Project: Design and application of choosen elements of ES. Designing and application of choosen neural network.
Basic reference materials 
  1.  S.J.Russell, P.Norvig, Artificial Intelligence A Modern Approach (2nd Ed.), Prentice-Hall, 2001
  2.  P.Cichosz, Systemy uczące się, WNT, Warszawa 2000
  3.  L.Bolc, J.Cytowski, Metody przeszukiwania heurystycznego, PWN, 1991
  4.  R.Kowalski, Logika w rozwiązywaniu problemów, WNT, 1989
  5.  J.Mulawka, Systemy ekspertowe, WNT, 1996
  6.  M.Muraszkiewicz, H.Rybiński, Bazy danych, Akademicka Oficyna Wydawnicza, 2002
Other reference materials 
  1.  Matlab Fuzzy Systems Toolbox, The MathWorks, Inc., Natick, MA, 2000.
  2.  Rutkowska D., Piliński M., Rutkowski L., Sieci neuronowe, algorytmy genetyczne i systemy rozmyte, PWN, Warszawa-Łódź, 1997.
  3.  Altrock C., "Fuzzy Logic & NeuroFuzzy Applications Explained", Prentice-Hall International Inc., New Jersey 1995
  4.  Korbicz J., Obuchowicz A., Uciński D.: Sztuczne sieci neuronowe. Podstawy i ich zastosowania. PLJ, Warszawa, 1994.
  5.  Żurada J., Barski M., Jędruch W., Sztuczne sieci neuronowe, PWN, W-wa 1996 .
Average student workload outside classroom 
6
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                        Last update
                        2018-11-29 09:26:44
                    

                    

                        ???PrzedmiotArchiwalny???
                        nie