Course Schedule - Spring Semester 2014

     

Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).
Additional information available here.

COMP 540 001 (CRN: 22428)

STATISTICAL MACHINE LEARNING

Long Title: STATISTICAL MACHINE LEARNING
Department: Computer Science
Instructor: Subramanian, Devika
Meeting: 9:25AM - 10:40AM TR (13-JAN-2014 - 25-APR-2014) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
 
Prerequisites: (STAT 331 OR STAT 310) AND (MATH 355 OR CAAM 335) or permission of instructor
Section Max Enrollment: 39
Section Enrolled: 21
Enrollment data as of: 10-MAY-2024 2:43PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: 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.