STATS 500 - Statistical Learning I: Regression
Fall 2019, Section 002
Instruction Mode: Section 002 is  In Person (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics

Details

Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
99
Advisory Prerequisites:
Linear Algebra (at the level of MATH 214 or equivalent) AND Theoretical Statistics (at the level of STATS 426 or equivalent).
Other Course Info:
F.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May be repeated for a maximum of 6 credit(s).
Primary Instructor:

Description

Linear models: definitions, fitting, identifiability, collinearity, Gauss-Markov theorem, variable selection, transformation, diagnostics, outliers and influential observations. ANOVA and ANCOVA. Common Designs. Applications and real data analysis are stressed, with students using the computer to perform statistical analyses.

Schedule

STATS 500 - Statistical Learning I: Regression
Schedule Listing
002 (LEC)
 In Person
19129
Open
4
 
 
 
-
TuTh 8:30AM - 10:00AM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. The Statistics Department holds orientation for incoming Master?s and PhD students at the end of August. Any remaining seats will be taken off of reserve on September 3, 2019. Instuctors in the Statistics Department do not manage their waitlists and do not issue overrides.
004 (LEC)
 In Person
25582
Open
13
 
 
1DATA SCIENCE
 
-
MW 4:00PM - 5:30PM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. The Statistics Department holds orientation for incoming Master?s and PhD students at the end of August. Any remaining seats will be taken off of reserve on September 3, 2019.

Textbooks/Other Materials

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)