Optimization in Engineering Technology and Management credit:

3 Hours

Applied data analysis and linear optimization to turn raw data into actionable decisions. Course emphasizes real-world problem solving across sectors such as agriculture, construction, manufacturing, and environmental management. Gain hands-on experience building and solving optimization models for applications including project scheduling, supply chain networks, and resource allocation. By the end of the course, you will be prepared to drive improved management outcomes in complex, data-driven systems. 3 undergraduate hours. 3 graduate hours. Prerequisite: MATH 234 or equivalent; ACE 262 , ECON 202 , CPSC 241 , or STAT 107 ; and CS 105 or equivalent.