Introduction to Optimization: Data Science
Course Description
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.
MS&E 111DS
Units: 3–4
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Typically Offered
Not Available
Grading Basis
Letter or Credit/No Credit
Class Level
Undergraduate
Instructional Mode
In Person
Gen Ed Requirement(s)
None