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INTRODUCTION TO DECISION ANALYSIS

ISYE 516
Course Description

Overview of modeling techniques and methods used in decision analysis, including multiattribute utility models, decision trees, and Bayesian models. Psychological components of decision making are discussed. Elicitation techniques for model building are emphasized. Practical applications through real world model building are described and conducted.

Prerequisties

(MATH/STAT 309 , STAT 311 , or MATH/STAT 431 ), graduate/professional standing, or member of Engineering Guest Students

Satisfies

This course does not satisfy any prerequisites.

Credits

3

Offered

Spring

Grade Point Average
3.8

11.14% from Historical

Completion Rate
100%

2.66% from Historical

A Rate
70%

36.9% from Historical

Class Size
30

-12.62% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

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