The course consists of two parts. The first part of the course will enable the student to learn the theory and gain hands-on experiences on a variety of machine-learning techniques. We will explain these techniques from physicists’ point of view, for example, we will use physics terminology when applicable, and explain conceptual links between machine learning and physics. In the second part, several faculty members of the Department of Physics will teach real-life examples of how to apply machine learning in their research.