Section Info: STAT-340-01

Course Title: Applied Regression Methods
Start Date: 09/06/2023 End Date: 12/19/2023
Term: Fall Semester 2023
Description: This course includes methods for choosing, fitting, evaluating, and comparing statistical models; introduces statistical inference; and analyzes data sets taken from research projects in the natural, physical, and social sciences.
Distribution(s): II - Math & Sciences
Academic Level Of Course: Undergraduate     Credits:4.00    

Faculty         Phone         Email address        
Laurie Tupper     

Meeting Dates         Method         Meeting days         Meeting times         Building name         Room     Frequency    
09/06/2023 - 12/19/2023   Lecture   Monday, Wednesday and Friday   01:45PM - 03:00PM   CLAP - Clapp Laboratory   401   Weekly


Requisite Courses        
Prereq: MATH-211 and STAT-242. Take previously   Required  

Additional Comments        
Course Tags        
NXDTA0001   NXDTA: Nexus in Data Analytics and Society   This course is approved for the Data Analytics  
EOS-5   EOS-5: Data and Technical Analysis   This course has been approved to count towards the EOS minor in Area 5: Data and Technical Analysis  
DATA0001   DATA-SCI: Data Science Core Course   This is a required core course of the Data Science major.  
DATA0003   DATA-SE: Data Science Elective Course   This course is an elective option for the Data Science major.  

Cross-listed Sections        

Course Availability
Section status: Closed     Capacity: 18     Enrollment: 18     Available: 0     Waitlist: 0


Book List         Required         Publisher Full Price        
Title: An Introduction to Statistical Learning (with R)
Author: James, Gareth; and Witten, Hastie, and Tibshirani
Copyright: 2023
Edition: 2
Publisher: Springer
Required   0.00  

Additional Book Comments        
This is NOT the complete book list for this class.