Summer Semester 2009/10
Summer Semester 2010/11
Winter Semester 2010/11
Decision Systems KSU01449
Course content:
1. Organizational classes.
2. Neural networks - a theoretical introduction.
3. Use of neural networks - Part 1.
4. Use of neural networks - Part 2.
5. Evolutionary algorithms - a theoretical introduction.
6. The use of evolutionary algorithms - Part 1.
7. The use of evolutionary algorithms - Part 2.
8. Rough sets - theoretical introduction.
9. Using rough sets techniques - Part 1.
10. Using rough sets techniques - part 2.
11. Data clustering - a theoretical introduction.
12. Using data clustering techniques - Part 1
13. Using data clustering techniques - part 2
14. Assesment of reports. Summary of introduced techniques in computer decision support systems.
15. Classes assessment.
Learning outcomes:
Ability of applying introduced techniques in the decision-making problems.
(in Polish) Rodzaj przedmiotu
Course coordinators
Term 2009L: | Term 2010L: | Term 2010Z: |
Bibliography
a) basic references:
1. L. Rutkowski, Metody i techniki sztucznej inteligencji, Wydawnictwo Naukowe PWN, 2009.
2. A. Wakulicz-Deja, Systemy wspomagania decyzji, Uniwersytet Śląski, 2009.
b) supplementary references:
1. E. Turban, Decision support and expert systems: management support systems, Prentice Hall, 1998.
2. S. Russel, Artificial Intelligence: A Modern Approach (3rd Edition), Prentice Hall, 2009.