CS771: Course Syllabus and Schedule

Course Syllabus: Preliminaries (Multivariate calculus, Linear algebra, Probability theory), Supervised Learning (Local/proximity-based methods, Learning by function approximation, Learning by probabilistic modeling), Unsupervised Learning (Discriminative Models, Generative Models), Practical Aspects, Additional Topics.

Please refer to [syllabus link] for the detailed course syllabus.

Exams, Quizzes, and Holidays: Please see the following document [calendar link] for a calendar containing dates of exams, quizzes, and holidays.

Course Schedule: The normal weekly meeting schedule is given below

• Lectures: Online on YouTube [link]

• Discussion Hour: Fridays, 1800-1930 hrs in L20

• Backup Hour: Wednesdays, 1800-1930 hrs (venue to be declared week to week)