STA 450S/4000S Statistical methods of data mining Time: Wed Fri 1:00 – 3:00 1:00 – 2:00 LM 158 LM 158 Instructor: N. Reid SS6002A [email protected] 978-5046 Course Web Page: www.utstat.utoronto.ca/reid/450S05.html Office Hours Thu Fri 3:00 – 4:00 2:00 – 3:00 Pre-requisite: STA 302H (regression) or CSC 411 H (data mining) Course Text: Elements of Statistical Learning Hastie, Tibshirani & Friedman Springer – Verlag, NY Grading Scheme: Syllabus: Computing: Regular Attendance (honour system) 10% Regular HW (3) 60% Project (due on last class) 30% We will cover Chapters 3 and 4, parts of 5 and 6, 7, and selected topics from 9, 10 and 14. I will follow the book fairly closely, and provide supplemental material as needed. I will use and help with R, available on utstat and Cquest. Splus, also available there, works almost the same. You are welcome to use another program such as Matlab if you prefer.