Units: 4
Hours: Lecture, 1 hour; research, 6 hours; extra reading, 3 hours
Catalog page 358
Prerequisites: CS 252A or EE 251A; CS 252B or EE 251B; graduate standing; or consent of instructor
Description: Covers technical, analytic, and interpretive skills to design and execute a large-scale data science capstone project focusing on real- world applications. Provides an opportunity to integrate all of the core skills and concepts learned throughout the program. Prepares for long-term professional success in the field.
Cross-listing: Cross-listed with CS 279.