Courses
Course list
Required courses for all concentrations (six credit hours)
- MAE 501: Linear Algebra in Engineering OR EGR 598: Applied Linear Algebra for Engineers
- MAE 547: Modeling and Control of Robots (MAE 501 is a pre/corequisite) OR EGR 545: Robotic Systems I
- It is highly recommended that you complete MAE 501 or EGR 598 before you register for MAE 547 or EGR 545.
- Mechanical and aerospace concentration students are required to take MAE 501 and MAE 547. EGR versions of the core courses are not accepted.
- EGR 545 has been added as an option to the core course requirements as of the Fall 2022 semester. Students admitted prior to the Fall 2022 semester should speak with their advisor if they have questions about the core courses.
- EGR 598: Applied Linear Algebra for Engineers is an approved option to MAE 501 at this time and will be updated soon with a permanent number.
Apply to the robotics and autonomous systems program
Courses in concentrations (six to 12 credit hours)
Students are able to take courses listed below as elective courses. Additionally, courses on the robotics and autonomous systems 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) and 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 578: Data Visualization
- CSE 591/598: Advances in Robot Learning
- CSE 598: Bio-Inspired AI and Optimization
- CSE 591/598: Safe Autonomy for Cyber-Physical Systems
- CSE 591/598: Human Aware Robotics
- CSE 591/598: Coordination of 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) and one class from the following list:
- BME 507: Introduction to Digital Image Processing and Analysis
- BME 521: Advanced Motor Neuroscience for Engineers
- 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 & Understanding
- EEE 598: Game Theory: Models, Algorithms & Applications
- EEE 598: Introduction to Electric and Autonomous Vehicles
- EEE 598: Statistical Machine Learning
Mechanical and aerospace engineering concentration
MAE 506: Advanced System Modeling, Dynamics, and Control (required) and one class from the following list:
- MAE 502: Partial Differential Equations in Engineering
- MAE 507: Advanced Modern Control and Estimation
- 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 Robotics
- MAE 598/527: Finite Elements for Engineers
- MAE 598: LMI Methods in Optimal and Robust Control
- MAE 598: Multi-Robot Systems
Systems engineering concentration
EGR 550: Mechatronic Systems (required) and one class from the following list:
- EGR 555: Mechatronics Device Innovation
- EGR 557: Foldable Robotics
- EGR 598/575: Applied AI and Machine Learning
- EGR 598: Connected and Automated Vehicles
- EGR 598/546: Robotic Systems II
- EGR 598: System Control and Optimization
- SES 598: Autonomous Exploration Systems