Please note:

To view the current Academic Calendar, go to www.sfu.ca/students/calendar.html.

Statistical Learning and Prediction STAT 452 (3)

An introduction to the essential modern supervised and unsupervised statistical learning methods. Topics include review of linear regression, classification, statistical error measurement, flexible regression and classification methods, clustering and dimension reduction. Prerequisite: STAT 302 or STAT 305 or STAT 350 or ECON 333 or equivalent, with a minimum grade of C-. Quantitative.

Section Instructor Day/Time Location
D100 Haolun Shi
We 9:30 AM – 10:20 AM
Fr 8:30 AM – 10:20 AM
AQ 3182, Burnaby
AQ 3182, Burnaby
D101 Haolun Shi
We 11:30 AM – 12:20 PM
AQ 5037, Burnaby
D102 Haolun Shi
We 12:30 PM – 1:20 PM
AQ 5030, Burnaby
D103 Haolun Shi
We 1:30 PM – 2:20 PM
WMC 2503, Burnaby
D104 Haolun Shi
We 2:30 PM – 3:20 PM
WMC 2532, Burnaby
D106 Haolun Shi
Mo 9:30 AM – 10:20 AM
AQ 5027, Burnaby