Machine Learning and Robotics

Catalog description

As sub-disciplines of artificial intelligence, machine learning and robotics hold much promise for the creation of practical and useful AI systems, but the correct understanding and application of these disciplines requires careful study of their theoretical underpinnings. This course examines the underlying theory behind current machine learning and robotic applications as well as their practical implementations. Students will work with state-of-the-art algorithms for supervised, unsupervised, and reinforcement learning. Students will also complete practical assignments related to robotic construction and navigation. Moral, ethical, and worldview issues related to these topics will be addressed from a Lutheran Christian perspective. Prerequisites: (CSC 200 or 2000 ).