Course Schedule - Spring Semester 2017


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 542 001 (CRN: 23942)


Department: Computer Science
Instructor: Shrivastava, Anshumali
Meeting: 11:00AM - 11:50AM MWF (9-JAN-2017 - 21-APR-2017) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Section Max Enrollment: 30
Section Enrolled: 10
Total Cross-list Max Enrollment: 30
Total Cross-list Enrolled: 16
Enrollment data as of: 22-JUL-2024 4:08PM
Additional Fees: None
Final Exam: GR Course-Dept Schedules Exam
Description: Learning from large dataset is becoming a ubiquitous phenomena in all applications spanning robotics, medical decisions, internet, communication, biology, etc. Designed to give senior UG students a thorough grounding in the theory and algorithms needed for research and practical applications in machine learning for modern massive datasets. Topics draw from machine learning, classical statistics, algorithms and information theory. Cross-list: COMP 441. Mutually Exclusive: Cannot register for COMP 542 if student has credit for COMP 441.