CSE145: Introduction to Data Mining

Covers the techniques, algorithms, and applications of data mining, including data preprocessing, data exploration, classification, clustering, mining text, and sequential and social data. (Formerly TIM 145.)

Prerequisite(s): CSE 15 and CSE 15L or CSE 30 or CSE 13S; and AM 30 or MATH 22 or MATH 23A; and STAT 5 or CSE 107 or STAT 131; and AM 10 or MATH 21; and CSE 16 or ECON 113. Enrollment restricted to juniors and seniors. Graduate students by permission of instructor.

5 credits

Year	Fall	Winter	Spring	Summer

Comments

Formerly TIM 145

While the information on this web site is usually the most up to date, in the event of a discrepancy please contact your adviser to confirm which information is correct.