EE 5373 is also offered in Fall 2024
EE 5373 is also offered in Fall 2023
EE 5373 is also offered in Summer 2023
EE 5373 is also offered in Fall 2022
EE 5373 is also offered in Summer 2022
EE 5373 is also offered in Fall 2021
Fall 2022 | EE 5373 Section 001: Data Modeling Using R (26292)
- Instructor(s)
- Class Component:
- Laboratory
- Credits:
- 1 Credit
- Grading Basis:
- A-F only
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Enrollment Requirements:
- CSE grad student
- Times and Locations:
Regular Academic Session
UMTC, East Bank
Kenneth H Keller Hall 4-138
- Enrollment Status:
Closed (25 of 25 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 Notes:
- Course time is arranged and meets in Keller 6-160.
- Class Description:
- Student may contact the instructor or department for information.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/26292/1229
ClassInfo Links - Fall 2022 Electrical & Computer Eng Classes