Course code 07 72 5020 21
ECTS credits 5
Course title in the language of instruction 
Sztuczna intel. i systemy ekspertowe
Course title in Polish Sztuczna intel. i systemy ekspertowe
Course title in English 
Artificial Inteligence and Expert System
Language of instruction Polish
Delivery methods and course duration
Lecture Tutorials Laboratory Project Seminar Other Total of teaching hours during semester
Contact hours 30 15 15 0 60
E-learning No No No No No No
Assessment criteria (weightage) 0.00 0.00 0.00 0.00
Unit running the course Instytut Informatyki
Course coordinator dr inż. Krzysztof Lichy
Course instructors dr inż. Przemysław Nowak
Prerequisites 
Outcomes from:
Algorithms and Data Structures
Data Base Systems
or equivalent
???PrzedmiotoweEfektyUczenia???
  1. Student will be able to use basic cocncepts of artificial intelligence
  2. Student will be able to develop expert systems
  3. Student will be able to develop simple applications making use of artificial intelligence tools
Assessment methods 
none

2 tests during tutorials, lab report and final exam. Final grade consists of final exam mark - in 50%, tutorial mark - in 25%, lab mark - in 25%
???FormyIWarunkiZaliczeniaPrzedmiotu??? W TRAKCIE UZUPEŁNIANIA
???SzczegoloweTresciPrzedmioto??? LECTURE Basic notions of AI. Latest trends in AI research. Expert systems. ES structure. Tools for ES design. Knowledge representation in ES. Knowledge acquisition for ES. Knowledge processing in ES. Basics of neural networks. Models of neuron. Basic structures of neural networks. Selected comlex structures of neural networks. Artificial immune systems. Ant systems. Elements of intelligent robots. TUTORIALS Heuristic search. Inference (reasoning rules), forward reasoning, backward reasoning. Creation od decision rules/trees. Neural network learning. PROJECT Design and application of choosen elements of ES. Design and application of choosen neural network. Design and application of choosen ant system.
Basic reference materials 
  1. Rutkowski L.: Metody i techniki sztucznej inteligencji, PWN, Warszawa 2012
  2. Flasiński M.: Wstęp do sztucznej inteligencji, PWN, Warszawa 2011
  3. Charniak E., Mc Dermot D.: Introduction to Artificial Intelligence, Addison Wesley, 1985
  4. Rich E., Knight K.: Artificial Intelligence, Second ed., Mc Graw Hill, 1991
  5. Russell S. J., Norvig P.: Artificial Intelligence. A modern approach, Prentice Hall, 1999
Other reference materials 
  1. Kisielewicz A.: Sztuczna Inteligencja i Logika, WNT, Warszawa  2014
Average student workload outside classroom 
6
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                        Last update
                        2019-02-15 14:22:07
                    

                    

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