STATISTICAL MACHINE LEARNING
COMP 540 is about learning models from data. The course is designed to give students a foundational understanding of modern algorithms in learning and data mining, as well as hands-on experience with its applications in science and engineering. Mutually Exclusive: Cannot register for COMP 540 if student has credit for ELEC 478 .
Prerequisites & course information
Short Title: STATISTICAL MACHINE LEARNING Department: Computer Science Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 4 Restrictions: Enrollment is limited to Graduate level students. Course Level: Graduate Prerequisite(s): ( MATH 212 and ( ELEC 303 or STAT 310 or ECON 307 or STAT 312 or STAT 315 or DSCI 301 ) and (CAAM 334 or CMOR 303 or CAAM 335 or CMOR 302 or MATH 354 or MATH 355 ) and ( COMP 382 or COMP 582 ) and COMP 310 )
Sources
- Course catalogue ↗2026–2027