Faculty
Sessional Lecturer
Scott Chin
Scott Chin received his B.Eng in Electrical Engineering from the University of Victoria in 2003 and his M.A.Sc in Electrical and Computer Engineering from the University of British Columbia in 2006. Currently, he is nearing completion of his Ph.D. at the University of British Columbia under the supervision of Professor Steve Wilton. Between his M.A.Sc. and Ph.D. he completed an internship at the Altera Toronto Technology Centre where he worked on FPGA power estimation.
His M.A.Sc research focused on investigating the power implications of implementing logic in FPGA embedded memories, and his current research focuses on reducing the memory-requirements and run-time of CAD tools for FPGAs. Scott is the recipient of the "Altera Award for FPGA Architectures" paper award at the International Conference on Field-Programmable Logic and Applications 2006, and the Best Paper award at the International Conference on Field Programmable Technology 2007.
Courses
| ELEC 402 |
Introduction to VLSI Systems The chip design process using VLSI design styles in CMOS technology. Data path, control and register file design and layout. Clocking schemes, flip-flop and latch-based design. VHDL/Verilog design project using CAD tools. [3-0-2] |
| CPEN 400D |
Deep Learning Course Description Although deep learning is based on many well known artificial intelligence (AI) concepts dating back decades or more, it has come to prominence again based on the number of recent successes. A combination of improved algorithms, increased access to data, and the availability of low-cost/high-performance computing resources have dramatically improved the performance of deep learning for certain application areas. |
