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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.

Prerequisites

(MATH/STAT 309 , STAT 311 , or MATH/STAT 431 ), graduate/professional standing, member of Engineering Guest Students, or declared in Capstone Certificate in Artificial Intelligence for Engineering Data Analytics

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.63

5.3% from Historical

Completion Rate
100%

2.35% from Historical

A Rate
35%

-28.98% from Historical

Class Size
40

14.61% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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