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Engineering Design: A Decision-based Approach

ME54100

Credit Hours:

3

Learning Objective:

  1. Learn to formulate engineering design decisions under risk and uncertainty.
  2. Learn to apply multi-attribute utility theory to make decisions in engineering design
  3. Assess the assumptions and limitations of commonly used decision-making methods in engineering design.
  4. Identify and reduce biases in engineering design decisions.
  5. Adopt an interdisciplinary approach to design across engineering, economics, and social sciences.

Description:

Role of decision making in engineering design; multi-objective decision making under risk and uncertainty; Group decision making; Sequential decision making; Model-based and data-driven decision making; Heuristics and biases in design decision making. Applications to engineering design including estimation of customer preferences, simulation-based design, and sustainable design.
Spring 2021 Syllabus

Topics Covered:

  1. Course overview
  2. Engineering design and systems engineering through the lens of decision making
  3. Framing a decision situation
  4. Decisions under certainty
  5. Probability Theory: An Overview
  6. Single Attribute Utility Theory
  7. Multi-attribute Utility Theory with examples in engineering design and manufacturing
  8. Value of Information
  9. Sequential Decision Making
  10. Rationality
  11. Cumulative Prospect Theory
  12. Decision Field Theory
  13. Preferences over Time
  14. Estimating Customer Preferences
  15. Estimating Customer Preferences
  16. Group Decision Making

Prerequisites:

Applied / Theory:

50 / 50

Homework:

Homework assigned every two weeks

Projects:

The students will apply the concepts learned in this course to real-world problems, which may be related to their job.

Exams:

No Exams

Textbooks:

No textbook. Reading material will be provided

Computer Requirements:

ProEd Minimum Requirements:

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Tuition & Fees:

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