Introduction to AI (Knowledge representation, artificial networks, Frames, Predicates and Logic), dealing with uncertainty, Inference and search techniques (Bland Search, depth-first search, width-first search, low depth search, iteration search, arbitrary search, , greedy search hill clamping search). AI applications: Machine Learning , Natural Languages, expert systems, Neural networks, Genetic algorithms, Prolog language will be used.