Engineering 389 - SEM:TECHNIQUES/MODELING EGR PR

The goal of this seminar is to introduce students to several approaches used to model, understand, simulate and forecast engineering processes. One approach to be covered is the use of artificial neural networks?a branch of artificial intelligence (AI) with connections to the brain. Other approaches to be covered are based upon probability and statistics and will include auto-regressive moving average(ARIMA) processes. Although students will learn about the theory behind these approaches, the emphasis of the course will be on their application to model processes throughout the field of engineering. Some examples include earthquake ground motion, financial markets, water treatment, and electrical systems. Acknowledging the interdisciplinary nature of AI, students will also investigate the possibilities of machine consciousness. Prerequisite or co-requisite: MTH 219 or 220 (formerly MTH 241 or 245). Enrollment limit of 12.

Not open to first-years, sophomores