This course introduces students to the practical fundamentals of data mining and machine learning with just enough theory to aid intuition building. The course is project-oriented, with a project beginning in class every week and to be completed outside of class by the following week, or two weeks for longer assignments. The in-class portion of the project is meant to be collaborative, with the instructor working closely with groups to understand the learning objectives and help them work through any logistics that may be slowing them down. Weekly lectures introduce the concepts and algorithms which will be used in the upcoming project.

EDUC 244 will NOT be allowing time conflicts

Synchronous remote lectures with recordings made that can be consumed asynchronously

Synchronous final project presentations

Repeat Rules

Course is not repeatable for credit.