ClassInfo - Fall 2020 Statistics Classes

2 classes matched your search criteria.

Fall 2020 | STAT 5302 Section 001: Applied Regression Analysis (13564)

Instructor(s): Jie Ding
Class Component:: Lecture
Instructor Consent:: No Special Consent Required
Instruction Mode:: Completely Online
Class Attributes:: Online Course
Enrollment Requirements:: Exclude fr or soph 5000 level courses
Times and Locations:: Regular Academic Session

09/08/2020 - 12/16/2020

Off Campus

Virtual Rooms ONLINEONLY
Enrollment Status:: Open (35 of 40 seats filled)
Also Offered:: (Tentative) Spring 2025
(Tentative) Fall 2024
(Tentative) Spring 2024
(Tentative) Fall 2023
(Tentative) Summer 2023
(Tentative) Spring 2023
(Tentative) Fall 2022
(Tentative) Fall 2021

Course Catalog Description:: Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
Class Notes:: This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:: Student may contact the instructor or department for information.
Textbooks:: https://bookstores.umn.edu/course-lookup/13564/1209

Instructor(s): Wenjing Yang (TA)
Class Component:: Laboratory
Class Attributes:: Online Course
Times and Locations:: Regular Academic Session

09/08/2020 - 12/16/2020

Off Campus

Virtual Rooms ONLINEONLY
Auto Enrolls With:: Section 001
Enrollment Status:: Open (35 of 40 seats filled)

Course Catalog Description:: Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
Class Notes:: Reserve seats will be released August 29. This course is completely online in an asynchronous format. There are no scheduled meeting times. Details will be provided in the course syllabus.
Class Description:: Student may contact the instructor or department for information.
Textbooks:: https://bookstores.umn.edu/course-lookup/13565/1209

To link directly to this ClassInfo page from your website or to save it as a bookmark, use:: http://classinfo.umn.edu/?subject=STAT&catalog_nbr=5302&term=1209
To see a URL-only list for use in the Faculty Center URL fields, use:: http://classinfo.umn.edu/?subject=STAT&catalog_nbr=5302&term=1209&url=1
To see this page output as XML, use:: http://classinfo.umn.edu/?subject=STAT&catalog_nbr=5302&term=1209&xml=1
To see this page output as JSON, use:: http://classinfo.umn.edu/?subject=STAT&catalog_nbr=5302&term=1209&json=1
To see this page output as CSV, use:: http://classinfo.umn.edu/?subject=STAT&catalog_nbr=5302&term=1209&csv=1

ClassInfo created and maintained by the Humphrey School of Public Affairs.

If you have questions about specific courses, we strongly encourage you to contact the department where the course resides.