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University at Buffalo

UB Graduate Academic Schedule: Fall 2021

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


CDA 541LEC - Statistical Data Mining I
Statistical Data Mining I MPS Enrollment Information (not real time - data refreshed nightly)
Class #:   21249   Enrollment Capacity:   107
Section:   MPS   Enrollment Total:   106
Credits:   3.00 credits   Seats Available:   1
Dates:   08/30/2021 - 12/10/2021   Status:   OPEN WITH RESERVES
Days, Time:   F , 9:10 AM - 12:00 PM
Room:   Remote view map
Location:   Remote      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
Data Sciences & Applics MPS 107 106  
Enrollment Requirements
Prerequisites: Pre-Requisite: MTH 142 And MTH 309 And STA 511; or Engineering, Biostatistics or Mathematics Major.
  Course Description
This course presents statistical models for data mining, inference and prediction. The focus will be on supervised learning, which concerns outcome prediction from input data. Students will be introduced to a number of methods for supervised learning, including: linear and logistic regression, shrinkage methods, lasso, partial least squares, tree-based methods, model assessment and selection, model inference and averaging, and neural networks. Computational applications will be presented using R and high dimensional data to reinforce theoretical concepts. This course is the same as STA 545 and EAS 506, and course repeat rules will apply. Students should consult with their major department regarding any restrictions on their degree requirements.
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  On-line Resources
Other Courses Taught By: Hageman Blair