Course Schedule - Fall Semester 2015

     

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.

STAT 444 001 (CRN: 12595)

DATA MINING & STAT LEARNING

Long Title: DATA MINING AND STATISTICAL LEARNING
Department: Statistics
Instructor: Allen, Genevera
Meeting: 4:00PM - 5:15PM TR (24-AUG-2015 - 4-DEC-2015) 
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:
 
Prerequisites: (CAAM 210 OR COMP 140 OR STAT 405) AND STAT 410
Section Max Enrollment: 99
Section Enrolled: 26
Total Cross-list Max Enrollment: 99
Total Cross-list Enrolled: 77
Enrollment data as of: 5-NOV-2024 5:45PM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: Survey of ideas, methods, and tools for analyzing large data sets. Topics from supervised and unsupervised learning include penalized regression and classification, support vector machines, kernel methods, model selection, matrix factorizations and completion, graphical models, clustering, boosting and ensemble learning. STAT 444 will have applied assignments and exams focusing on data analysis. Cross-list: STAT 640. Mutually Exclusive: Cannot register for STAT 444 if student has credit for STAT 640.