Summer 2023  |  EE 5373 Section 001: Data Modeling Using R (84256)

Instructor(s)
Class Component:
Laboratory
Credits:
1 Credit
Grading Basis:
A-F only
Instructor Consent:
No Special Consent Required
Instruction Mode:
Completely Online
Enrollment Requirements:
CSE grad student
Times and Locations:
Regular Academic Session
 
06/05/2023 - 07/28/2023
Mon, Wed 05:00PM - 06:50PM
Off Campus
UMN REMOTE
Enrollment Status:
Open (11 of 16 seats filled)
Also Offered:
Course Catalog Description:
Introduction to data modeling and the R language programming. Multi-factor linear regression modeling. Residual analysis and model quality evaluation. Response prediction. Training and testing. Integral lab. An introductory course in probability and statistics is suggested but not required; basic programming skills in some high-level programming language, such as C/C++, Java, Fortran, etc also suggested.
Class Description:
Student may contact the instructor or department for information.
Textbooks:
https://bookstores.umn.edu/course-lookup/84256/1235

ClassInfo Links - Summer 2023 Electrical & Computer Eng Classes

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