The course will cover six exercise themes: Ex1 - Introduction, Ex2 - Regression, Ex3 - Classification, Ex4 - Validation and Model Selection, Ex5 - Clustering, Ex6 - Feature Learning. The tentative course time plan and deadlines can be found here.
Each exercise theme will consist of MyCourse quizzes (multiple choice questions) and home assignments. The home assignments will require students to work out small problems. The home assignments will then be peer graded, i.e., students review and grade the solutions of their colleges. For the peer grading, we will use the free online platform https://www.peergrade.io.