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Sarbjit Sarkaria holds a Ph.D. in Computer Science and has been teaching EECE 592 since 1994. His interests include Software Engineering, OOD/OOA, Ruby on Rails, Neural Networks, Image Processing and Artificial Intelligence. He has over 18 years experience in software engineering of complex distributed systems as used in air traffic control and telecommunications. Past employers include MacDonald Dettwiler & Associates, Nortel Networks and Motorola. Sarbjit is currently working at Nokia as a System Architect.
Architecture for Learning Systems
Symbolic methods used in conventional AI; knowledge representation, search strategies, inference mechanisms in expert system shells. Neural-network methods; system identification and pattern recognition issues, basic paradigms and their promises and limitations. Unified approaches using both symbolic and neural-network methods. Implementation issues using microcomputers in specific application domains, e.g., adaptive control and man-machine communication.