Subject: Statistics
Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours
College: Graduate and Postdoc Studies
Department: Mathematics and Statistics

Description

Based on a mathematical and statistical theory foundation, the course introduces statistical methods for supervised and unsupervised learning, focusing on hands-on skills with statistical software, R, and applications to real data.

Prerequisite(s): STAT 344.3 or STAT 345.3.
Note: This course is a hybrid course with STAT 447, and this course cannot be taken for credit after previously taking STAT 447.

Upcoming class offerings

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Syllabi

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