Academics

Course list

Required Courses for all concentrations (6 Credit Hours)

  • MAE 501 Linear Algebra in Engineering (3)
  • MAE 547 Modeling and Control of Robots (3)

Courses in concentrations (6-12 Credit Hours)

Students are able to take courses listed below as elective courses. Additionally, courses on this list (RAS Approved Elective list, you must be logged into your MyASU account to access this list) have been reviewed by the Graduate Program Chair and have been approved as electives for the Robotics and Autonomous Systems programs. Be sure to check this page and the list often for updates.

Artificial Intelligence concentration

CSE 571 Artificial Intelligence (required)
Plus, three classes from the following list:

  • IEE 598 Optimal Foraging Theory: From Biology to Engineering
  • CSE 511 Data Processing at Scale
  • CSE 522 Real-Time Embedded Systems
  • CSE 551 Foundations of Algorithms
  • CSE 574 Planning and Learning Methods in AI
  • CSE 575 Statistical Machine Learning
  • CSE 576 Topics in Natural Language Processing
  • CSE 587 Data Visualization¬†
  • CSE 591/598 Advances in Robot Learning
  • CSE 598 Bio-Inspired AI and Optimization
  • CSE 591/598 Cyber-Physical Systems
  • CSE 591/598 Human-Aware Robotics
  • CSE 591/598 Multi-Robot Systems
  • CSE 591/598 Perception in Robotics
  • CSE 598 Smart City Infrastructure and Technology

Biomedical Engineering concentration

BME 564 Cyber Biomedical Systems (required)
Plus, one class from the following list:

  • BME 507 Introduction to Digital Image Processing and Analysis
  • BME 521 Neuromuscular Control Systems
  • BME 525 Surgical Techniques
  • BME 526 Introduction to Neural Engineering
  • BME 527 Biomedical Device Design
  • BME 556 Human Systems Neuroscience
  • BME 561 Clinical Neuroscience
  • BME 565 Magnetic Resonance Imaging
  • BME 566 Medical Imaging Instrumentation
  • BME 567 Tissue Engineering and Regenerative Medicine
  • BME 568 Human Factors and System Design in Assistive Technologies

Electrical Engineering concentration 

  • EEE 582 Linear System Theory (required)
  • EEE 588 Design of Multivariable Control Systems (required)
  • EEE 508 Digital Image and Video Processing and Compression
  • EEE 511 Artificial Neural Computation
  • EEE 586 Nonlinear Control Systems
  • EEE 591 Computer Control Systems
  • EEE 591 Feedback Systems
  • EEE 591 Real-Time DSP Systems
  • EEE 598 Deep Learning for Media Processing and Understanding
  • EEE 598 Game Theory
  • EEE 598 Introduction to Electric and Autonomous Vehicles
  • EEE 598 Statistical Machine Learning

Mechanical & Aerospace Engineering concentration

MAE 506 Advanced System Modeling, Dynamics, and Control (required)
Plus, one class from the following list:

  • MAE 502 Partial Differential Equations
  • MAE 507 Fundamentals of Control and Optimization
  • MAE 508 Digital Control: Design and Implementation
  • MAE 514 Vibration Analysis
  • MAE 521 Structural Optimization
  • MAE 542 Design Geometry and Kinematics
  • MAE 566 Rotary Wing Aerodynamics
  • MAE 598 Bio-Inspired Robots
  • MAE 598/527 Finite Element for Engineers
  • MAE 598 LMI Methods in Optimal and Robust Control
  • MAE 598 Multi-Robot Systems

Systems Engineering concentration

EGR 550 Mechatronic Systems (required)
Plus, one class from the following list:

  • EGR 555 Mechatronics Device Innovation
  • EGR 557 Foldable Robots
  • EGR 598/575 Applied AI and Machine Learning
  • EGR 598 Connected and Automated Vehicles (added as of spring 2021, will be added to the handbook later this semester)
  • EGR 598/546 Robotics II
  • EGR 598 System Control and Optimization
  • SES 598 Autonomous Exploration Systems