ME 744 - Computational Intelligence

The course offers a comprehensive study of different machine learning techniques used for a variety of engineering applications. The theoretical aspect of the course introduces the students to topics such as supervised (shallow and deep) learning, unsupervised learning and reinforcement learning. In this course, implementation of these machine learning tools in image processing, robotics motion planning and control applications will be discussed. Implementation of machine learning algorithms using resources available in machine learning libraries like TensorFlow and PyTorch will also be introduced through several assignments that students will tackle during the term.