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Decision Analysis in Engineering (IND E 583)

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Course Details

  • Location: UW Seattle, Online
  • Duration: 10 weeks
  • Times: Evenings

Next Start Date:

March 29, 2021

This course is part of a certificate program. You can also take it without enrolling in the program.

Get Details & Apply

About this Course


This course prepares you to apply decision analysis tools and processes to solve complex decision problems. We’ll explore the nature of complex decisions, the role of decision analysis, and some of the limitations of human decision heuristics. You’ll review data analysis concepts through statistics and probability modeling. We’ll practice using decision analysis tools and approaches by analyzing real-world engineering decision situations and case studies. By the end of the course, you’ll be able to judge when and under what circumstances decision analysis is appropriate.

What You’ll Learn

  • How to use a variety of decision tools, including AHP, influence diagrams and Monte Carlo simulation
  • Concepts related to decision trees and influence diagrams for decision making under uncertainty
  • Ways to perform simulations for decision problems, including spreadsheet modeling
  • Methods for evaluating decision quality

Program Overview

You must complete all four courses, in any order, to earn the certificate.

 

You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.

Learning Format

Blended (Classroom + Online)

You’ll have the choice of attending class sessions online or in person, based on your preference from week to week. Online classes are delivered in real time using web conferencing software. Classroom sessions are held on the UW Seattle campus. Course sessions are also recorded and available for later review.

Course Sessions

Blended (Classroom + Online)

Students have the choice of attending class sessions online or in person.

Online

Credit Course

You’ll earn 3 academic credits for successfully completing this course. Learn more about credit courses

Closed Sessions

Students have the choice of attending class sessions online or in person.

Online

Meet your instructor

Brian Tidball

Senior Researcher | Philips Sonicare 

Credit Course

You’ll earn 3 academic credits for successfully completing this course. Learn more about credit courses

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