Discrete Probability Concepts And Models
Lecture
Main Campus
Course Description
Fundamental 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, belief networks, random variables, conditioning, and expectation. The course is fast-paced, but it has no prerequisites.
MS&E 20
Units: 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)
WAYS - Formal Reasoning (FR)