Course litterature

Here the main course books used in the different courses of the master:

Algorithm and complexity: Brassard G. and Bratley P. (1996) Fundamentals of algorithmics, Prentice-Hall (524 pp), ISBN 0-13-335068-1
Artificial Intelligence: Luger George F. (2002). Artificial Intelligence: structures and strategies for complex problem solving. Addison-Wesley (856 pp) ISBN 0-201-64866-0
Heuristic and problem solving: Michalewicz Zbigniew, Fogel David B. (2000). How to solve it: modern heuristics. Springer (467pp) ISBN 3-540-66061-5
Distributed knowledge engineering: Michael Wooldridge (2002) An introduction to Multi Agent system. Wiley, Chichester (348pp) ISBN 047149691X
Neural Networks: Simon Haykin. (1998). Neural Networks: A comprehensive Foundation. 2nd edition, (842pp), ISBN 0132733501
Data Mining: I. Witten & E. Frank (1999) Data Mining: practical machine learning tools and techniques with Java Implementations. Morgan Kaufmann (416pp) ISBN 1-55860-552-5
Fuzzy logic: Jang Jyh-Shing Roger, Sun Chuen-Tsai, Mizutani Eiji (1997). Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Prentice Hall (614 pp), ISBN 0-13-261066-3
Computer vision: Shapiro, L. and Stockman G., (2001) Computer Vision (580 pp), Prentice Hall, ISBN 0-13-030796-3