Engineering

This course provides hands-on experience in various aspects of biomedical engineering, including introduction to basic electronics, chemistry, molecular biology, microbiology, electrophysiology laboratory techniques. Students gain exposure to biological and chemical safety and other general safety issues. Students also receive training on laboratory skills, design of experiments, interpretation of data and technical writing. This course concludes with a student-driven design project.

This course examines the importance of the mining industry in our lives. It explores how commodities are extracted from the ground and who are involved at various stages of the mining operation. The topics covered include geology, mining, mineral processing, safety, the impact of mining on the environment, and economics. It also covers employability in the mining industry, which employs people of various backgrounds (e.g. geologists, mining engineers, civil engineers, mechanical engineers, environmental engineers, process & chemical engineers, lawyers, finance, etc.)

This course introduces the foundations of reasoning under uncertainty, its characteristics and the effect of these on inference processes. Topics include modeling, using and designing fuzzy expert systems, Bayesian networks, stochastic knowledge, decision theory, Markov decision processes, and Kalman filtering.

This course examines heuristic search, games, and algorithms. Topics include the importance of heuristics in search problems, search algorithms, evolutionary programming, evaluating heuristics, and game problems. Students examine NP-completeness theory, classifying problems, graph matching, and information theory.