Probability Theory for Data Science

Overview

Subject area

MATH

Catalog Number

640

Course Title

Probability Theory for Data Science

Department(s)

Description

Not open to students who are taking or who have received credit for MATH 340. Topics include introducing common random variable models, the central limit theorem, law of large numbers, random variable convergence. Topics mayalso include order statistics, probability inequalities, Slutsky’s Theorem, Markov chains and stochastic gradient descent. Probability computation using modern software

Typically Offered

Fall, Spring

Academic Career

Graduate

Liberal Arts

No

Credits

Minimum Units

4

Maximum Units

4

Academic Progress Units

4

Repeat For Credit

No

Components

Name

Lecture

Hours

4

Course Schedule