Introduction to Optimization: Data Science (MS&E 111DS)

3–4 credits · Graduate

Formulation and computational analysis of linear, discrete, and other optimization problems. Strong emphasis on data science and machine learning applications, as well as applications in matching and pricing in online markets. Prerequisite: CME 100 or MATH 51.