Course Schedule - Fall Semester 2012

     

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 640 001 (CRN: 16725)

DATA MINING & STAT LEARNING

Long Title: DATA MINING AND STATISTICAL LEARNING
Department: Statistics
Instructor: Allen, Genevera I.
Meeting: 2:30PM - 3:45PM MW (20-AUG-2012 - 30-NOV-2012) 
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
 
Prerequisites: STAT 431 AND (STAT 410 OR STAT 615)
Section Max Enrollment: 39
Section Enrolled: 27
Enrollment data as of: 12-MAY-2024 3:24AM
 
Additional Fees: None
 
Final Exam: Final Exam Unknown
 
Description: Survey of ideas, methods, and tools for analyzing large data sets; techniques for searching for unexpected relationships in data. Topics from supervised and unsupervised learning include regression, discriminant analysis, kernels, model selection, bootstrapping, trees, MARS, boosting, classification, clustering, neural networks, SVM, association rules, principal curves, multidimensional scaling, and projection pursuit.