Master of Automotive Engineering

Program Template

The Master of Engineering in Robotics and Autonomous vehicles requires the following:

  • 30 credits of course work
  • At least 24 credit hours must be graded (not pass/fail)
  • At least 18 hours must be in technical courses at the 500level and above
  • Maintaining a minimum grade point average of 5.0/9.0 (i.e., a B average)
  • No more than 6 credit hours can be transferred from selected schools

Program Core (12 credits)

  • NA590/RAV501 (F) Introduction to Mobile Robots
  • ME/EE567 (W) Introduction to Robotics
  • ME552 (F) Mechatronic System Design, or
  • EECS 461 (W) Embedded Control Systems
  • EECS442 (F) Computer Vision

Engineering Specialties (9 Credits—Choose one track)

Sensing, perception and cognition

  • NAME477 Principles of Virtual Reality
  • EECS542 Vision Processing
  • EECS644 Computational Modeling of Cognition (Psych644)
  • IOE633 Man Machine Systems
  • RAV521 Sensing and sensors (new)

Intelligence and learning

  • EECS492 (F) Artificial Intelligence
  • EECS543 (F) Knowledge-Based Systems
  • EECS545 (W) Machine Learning
  • EECS592 (W) Advanced Artificial Intelligence
  • EECS594 (W) Introduction to Adaptive Systems
  • EECS692 Multi-Agent Planning

Information and signal processing

  • AERO450 Flight Software Systems
  • AERO586 (F) Aerospace Information Systems
  • EECS501 (W) Probability and Random Processes
  • EECS551 (F) Mathematical Methods for Signal Processing
  • EECS556 Image Processing
  • EECS559 Advanced Signal Processing
  • EECS571 Real-time Systems
  • IOE515 Stochastic Processes

Dynamics and Control

  • AERO572 Dynamics and Control of Aircraft
  • AERO740 (W) Autonomous Aerial Vehicles
  • ME540 (F) Intermediate Dynamics
  • ME542 (W) Vehicle Dynamics
  • ME561 (W) Design of Digital Control Systems
  • ME568 (F) Vehicle Control Systems
  • EECS598 (W) Algorithms for Robotics

Design

  • AERO565 Optimal Structure Design
  • ME452 (F) Design for Manufacturability
  • ME551 Mechanisms Design
  • ME555 (W) Design Optimization
  • ME559 Smart Materials and Structures

Management and Systems (6 credits)

Entrepreneurship Track

  • ES715 Driving the Innovation Process
  • EECS495 (F) Patent Fundamental for Engineers
  • EECS498 (W) High-Tech Entrepreneurship

Business Fundamental Track

  • MFG599A Financial Analysis for Modern Manufacturing
  • MFG 599B Industrial Organization Design for Responsiveness
  • MO501 Human Behavior and Organization

Environmental Sustainability Track

  • MFG599A Sustainable Design: Science, Economics, and Policy
  • CEE586 (W) Industrial Ecology
  • CEE589 Risk and Benefit Analysis in Environmental Engineering
  • EIH572 Environmental Impact Assessment

Project (3 credits)

  • RAV503 Capstone Project (new)