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MS&E220

Probabilistic Analysis

Management Science and Engineering ENGR - School of Engineering

Course Description

Concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: multivariable calculus and some linear algebra.

Grading Basis

ROP - Letter or Credit/No Credit

Min

3

Max

4

Course Repeatable for Degree Credit?

No

Course Component

Discussion

Enrollment Optional?

Yes

Course Component

Lecture

Enrollment Optional?

No

Does this course satisfy the University Language Requirement?

No

Courses

MS&E220 is a prerequisite for:

Programs

MS&E220 is a completion requirement for: