Data Mining and Analytics introduces students to practical fundamentals of data mining and emerging paradigms of data mining and machine learning with enough theory to aid intuition building. The course is project-oriented, with a project beginning in class every week. The in-class portion of the project is meant to be collaborative and a time for the instructor and GSIs to work closely with project groups to understand the objectives, help work through software logistics, and connect project work to lecture. Lectures will introduce theories, concepts, practical contexts, and algorithms. Students should expect to leave the class with hands-on, contemporary data mining skills they can confidently apply in research and industry.

*Data 144 will NOT be allowing time conflicts
*Synchronous remote lectures with recordings made that can be consumed asynchronously
*Synchronous remote collaborative activities that will not be recorded or available asynchronously
*Synchronous final project presentations

Credit Restrictions

Students will receive no credit for DATA 144 after completing INFO 154. A deficient grade in DATA 144 may be removed by taking INFO 154.

Repeat Rules

Course is not repeatable for credit.