Study and gain skills in the tools, methods, and processes of designing, analyzing, controlling and improving complex engineered systems from world-renowned faculty who are experts in their field.

Contemporary machine learning algorithms train artificial neural networks by setting network weights to a single optimized configuration through gradient descent on task-specific training data. The ...

Science, engineering, and industry are being transformed through the use of artificial intelligence and machine learning techniques and principles. The Master of Science in Machine Learning uses a ...

"Learning is one of the most personal things that people do; engineering provides problem-solving methods to enable learning at scale. How do we resolve this paradox?" —Ellen Wagner Learning ...

RIT engineers are working to develop technology and methods that will further enable the application of artificial intelligence and machine learning to a broad range of critical problems.

Matt Whittle has experience writing and editing accessible education-related content in health, technology, nursing and business subjects. His work has been featured on Sleep.org, Psychology.org and ...

Students will demonstrate attainment of the following learning outcomes upon graduating: 1. An ability to identify, formulate, and solve complex engineering problems by applying principles of ...

The systems engineering master’s degree provides engineers and technology professionals with a deep understanding of the entirety of complex systems and processes. As a student, you will gain insights ...