Lawrence Technological University
21000 West Ten Mile RoadSouthfield, MI 48075-1058
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Artificial Intelligence (AI) is proven to be a key element in technological innovations in the ever-expanding digital age. As Computer utilization becomes more sophisticated, analyzing problems and programming solutions requires advanced AI algorithms to deal with Big Data such as machine learning, deep learning, data mining, and pattern recognition.
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The MSAI degree allows students the opportunity to focus on computer science skills combined with applications in numerous scientific areas to provide students a competitive edge in today’s advance technological landscape.
Continuous AI research and innovation is driving the explosive growth of industry verticals such as:
Courses are offered in the areas of Connected Vehicle Technologies, Deep Learning for Engineers, Software Development for AI, Digital Signal Processing, Computer Network Cyber Security, and Embedded Networking. These courses give students the opportunity to build on what they have already learned throughout their academic and industrial careers, allowing them to be at the forefront of technological innovation.
Theoretical knowledge is blended with hands-on experience in implementing practical applications.
LTU Faculty are expert in advanced areas such as, autonomous vehicles, big data mining, computer vision, and natural language processing, machine learning, math modeling and medical robotics (or robotics in healthcare).
Dr. George Pappas investigates different statistical methods for parameter estimation of linear and nonlinear models in dynamic mobile communications for biomedical systems. He investigates encryption and optimization algorithms of the transfer of electronic medical data using wireless cellular communication systems for evaluation, diagnosis, and treatment of patients in remote locations.
Dr. George Pappas