Review of engineering principles of solar energy conversion including collection techniques, thermal and direct conversion, system performance prediction, and selected topics. Prerequisite: M&I-Eng 354.

Energy sources and power systems used by industry and utilities to produce electricity, mechanical power, process heating and cooling are examined for energy efficiency and economic feasibility. Analysis and design of thermal systems and specific components are considered. Prerequisites: M&I-Eng 340 and 354.

This course will cover statistical methods now widely used in data analysis, learning and prediction such as regression and classification techniques, feature selection, decision trees, and unsupervised learning methods such as clustering and principal components analysis. The emphasis will be on applying the statistical methods to data sets and understanding the optimization theory that drives these methods.

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