Machine Learning Meets Geometry

CSE291-F00 - Winter 2020


Welcome to the course!

General Information

Times & Places
TuTh 3:30PM - 4:50PM, EBU3B 4140

Course Staff

Name Email Office Hours Location
Instructor Hao Su 5:00PM-6:00PM, Tu CSE Building 4109
Course Assistant Meng Song 5:15PM-6:15PM, Th CSE Building 4109


This is a graduate level course to cover core concepts and algorithms of geometry that are being used in computer graphics, computer vision and machine learning. I will cover key concepts of differential geometry, the usage of geometry in computer graphics, vision, and machine learning. Students are required to do a course project in pairs.


Background assumed includes basic material in linear algebra, optimization, and machine learning.

Grading (tentative)


The planned syllabus is as below. Certain contents may be added or removed based upon the interactions in class and other situations.