Introduction to Optimization: Data Science

Lecture

Main Campus

Also Known As

MS&E 111DS

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 211DS

Units: 3–4

See When It's Offered

Typically Offered

Not Available

Grading Basis

Letter or Credit/No Credit

Class Level

Graduate

Instructional Mode

In Person

Gen Ed Requirement(s)

None

Additional Information

Enrollment Requisites
Specific requirements or conditions that must be completed before or at the same time as you enroll.
Rules
Specific policies or restrictions that apply to this course.

Introduction to Optimization: Data Science

Course Description

Typically Offered

Grading Basis

Class Level

Instructional Mode

Gen Ed Requirement(s)

Additional Information

Enrollment Requisites

Prerequisite

Enrollment Prerequisite

Rules

Repeat Rules

Introduction to Optimization: Data Science

Course Description

Typically Offered

Grading Basis

Class Level

Instructional Mode

Gen Ed Requirement(s)

Additional Information

Enrollment Requisites

Prerequisite

Enrollment Prerequisite

Rules

Repeat Rules