Subject: Machine Learning and Pattern Recognition	Code: MI069	

Semester	 Hours: C+S+L	Type	 Section	
7	2+0+2	optional	Computer Science	
7	2+0+2	optional	Mathematics-Computer Science	

Teaching Staff in Charge	Prof. DUMITRESCU Dan Dumitru, Ph.D., ddumitr@cs.ubbcluj.ro
Asist. GROSAN Crina Daniela, Ph.D., cgrosan@cs.ubbcluj.ro	
Aims	Supply an introduction to the field studied.
Give the basic notion, techniques and algorithms.
Supply the background for advanced courses	
Content	1. Basic models of learning machines
2. Basic data mining models
3. Fuzzy clustering
4. Neural network for clustering, and data mining
5. Neural network for pattern recognition
6. Evolutionary models for learning machines
7. Support vector machine	
Selective References	DUMITRESCU,D.,B Lazzerini,Evolutionary Computation, CRC Press, New York, Boca Raton, 2000
DUMITRESCU,D.,B Lazzerini,Fuzzy Sets and treir Application in Training and Clustering , CRC Press, New York, Boca Raton, 2000
DUMITRESCU, D.,Principiile  Inteligentei artificiale,  Editura Albastra, Cluj,2000.
DUMITRESCU, D.,Principiile  teoriei clasificarii,  Editura Academiei, Bucuresti,2000.
DUMITRESCU, D.,Algoritmi genetici si strategii evolutive. Aplicatii in Inteligenta      Artificiala,  Editura Albastra, Cluj,2000.
DUMITRESCU, D., Inteligenta artificiala,  Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Modele conexioniste in Inteligenta Artificiala, Univ. "Babes-Bolyai", 1995.
DUMITRESCU, D., Retele Neuronale, Teora, 1997
GOLDBERG, D. E., Genetic Algorithms in Search, Optimization , and Machine Learning, Addison , Reading, 1989.
MICHALEWICZ, Z., Genetic Algorithms+ Data Structures= Evolution Programs, Springer, Berlin, 1992.	
Assessment