Faculty
Sessional Instructor
Sarbjit Sarkaria
Machine Learning, Neural Networks and Reinforcement Learning
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.
Courses
| EECE 592 |
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. |
Contact
Office:Electrical and Computer Engineering
The University of British Columbia
5500 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
The University of British Columbia
5500 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
sarbjits [at] ece [dot] ubc [dot] ca
