Master of Engineering in Artificial Intelligence for Computer Vision and Control

AI has become a valuable and important catalyst for other technologies such as the Internet of Things and Cyber Physical Systems. AI is also considered as the engine that powers several truly ground-breaking Computer Vision, Control and Cybernetic applications such as autonomous cars, robotic personal assistants and automated manufacturing. The Master of Engineering in Artificial Intelligence, Computer Vision and Control degree is intended to provide interested students maximum exposure towards the very fast evolving AI technologies, machine learning, and methods while particularly targeting Electrical and Computer Engineering topics such as computer vision, medical image diagnosis, power system distribution, robotics and automation. Today, all major new technology products inherit a layer of artificial intelligence unit for self-learning and adaptability. Depending on the application or platform, this AI component can be used for speech recognition, face recognition or context-aware human-device interactions. The wide use of these AI technologies resulted in a major spike in the demand for engineers who are trained in this dynamic and fast-growing exciting field. Through the Master of Engineering in Artificial Intelligence, Computer Vision and Control students will be ready to overcome challenges in the field of core AI framework, signal & image processing and computer vision, control systems, embedded systems, integrated circuits and VLSI including neuromorphic computing, network, communication and information systems, power systems and robotics.

Minimum Credits Required 30
Maximum 400-Level Credit 12
Minimum 500-Level+ Credit 18
Maximum 700-Level Credit 4
Required Courses (15-16)
Select 15-16 credit hours from the following:15-16
Introduction to Artificial Int3
Machine Learning
Digital Signal Processing I3
Digital Signal Processing II
Microcomputers/Embedded Comp3-4
Internet of Things/Cyber Phys
Image Processing3
Compt Vision Image Processing
Control Systems3
Robust Control
AI in Smart Grid3
Machine and Deep Learning
Signal and Image Processing Elective (3)
Select a minimum of three credit hours from the following:3
Digital Signal Processing I3
Image Processing3
Video Processing & Comm3
Analysis Random Signals3
Discrete Time Systems3
AI in Smart Grid3
Compt Vision Image Processing3
Machine and Deep Learning3
Statistical Signal Processing3
Digital Signal Processing II3
Computer Engineering Elective (3)
Select a minimum of three credit hours from the following:3
Introduction to Artificial Int3
Machine Learning3
Microcomputers/Embedded Comp4
Internet of Things/Cyber Phys3
Obj-Orntd Cmptr Sim3
Wireless Ntwrk Protocols/Stand3
Computer Cyber Security3
Info Theory and Applications3
Application Software Design3
Advanced Computer Networks3
Computer Org and Design3
Hardware Software Codesign3
Special Problems1-3
Power and Control Engineering Elective (3)
Select a minimum of three credit hours from the following:3
Power Electronics4
Control Systems3
Applied Optimization Engrgs3
Hybrid Electric Vehicle Drives3
Robust Control3
Next Generation Smart Grid3
Motion Control Syst Dynamics3
Power Elect Dynmcs Control3
Advanced Power Electronics3
Adjustable Speed Drives3
Power Market Operations3
Fault Tolerant Power Systems3
Power System Reliability3
Power Syst Dynamics Stability3
AI in Smart Grid3
Cntrl Oprtn Elect Power Systs3
Oper/Plan/Dist Power Grid3
Elements of Sustainable Energy3
Elements of Smart Grid3
Microgrid Design and Operation3
Elective Courses (5-6)
Select five to six credit hours 15-6