Level 1: AI-Exposure Requirement

Complete the First Engineering Requirement:

  • ENGR 13100 and ENGR 13200
  • ENGR 13000
  • ENGR 13300 + VIP/EPICS
  • ENGR 16100 and ENGR 16200

Topics covered: Knowledge about how AI works; Critical thinking; Assess and evaluate AI responses; Data-informed decision making; Ethical aspects of AI.

Level 2: AI-Knowledge Requirement

Students should take either one of the following courses to ensure adequate background in statistical data analysis, which is essential for their degrees in multidisciplinary/interdisciplinary engineering.

  • IDE 36000 Multidisciplinary Engineering Statistics
  • IE 33000 Probability and Statistics in Engineering

Level 3: AI-Subject Requirements

Because of the diversity of the MDE/IDES requirements, students can use any TWO of the approved Level 3 subject requirement courses from other schools.

The following is a partial list of courses students can take:

  • IE 370 Manufacturing Process
  • IE 343 Engineering Economics
  • IE 383 Integrated Product System 1
  • IE 472 Imagine, Model, Make
  • IE 484 Integrated Product System 2
  • IE 486 Work Analysis and Design
  • IE 490 Algorithm in the Real World
  • IE 490/590 Intro to Machine Learning
  • ECE 47300 Introduction to AI
  • ECE 40875 Data Mining Basics
  • CHE 320 Statistical Modeling And Quality Enhancement
  • CHE 30600 Design Of Staged Separation Processes
  • CHE 34800 Chemical Reaction Engineering
  • CHE 37700 Momentum Transfer
  • CHE 42000 Process Safety Management And Analysis
  • CHE 43500 Chemical Engineering Laboratory
  • CHE 45600 Process Dynamics And Control
  • ME 23900 Introduction to Data Science for Mechanical Engineers
  • CS 159 Programming

Level 4: AI-Application Requirement

The IDE senior design courses will focus on two aspects of AI integration: (1) Students will learn how to leverage generative AI to enhance efficiency and quality while documenting ethical considerations. (2) Students will learn how to use AI as a data assistant, to support brainstorming, to support coding, and to support technical communication (i.e., writing, data visualization, presentations).

The following design courses will implement AI:

  • Senior Design
  • EPICS
  • Theater Engineering Capstone