Experimental Design/Analysis
Durham
Life Sciences & Agriculture :: Agriculture, Nutr & Food Sys
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:
20
CRN: 53161
CRN: 53161
Through in-depth consideration of common general linear models used in the analysis of variance, this course introduces graduate students to the fundamental concepts and statistical methods necessary to plan, conduct, and interpret effective experiments. The course provides an opportunity for graduate students to receive critical input on the experimental design and analysis of their individual research projects. All analyses are conducted using the open-source package R; no previous coding experience is required.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Instructors: Iago Hale
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
1/23/2024 | 5/6/2024 | R | 4:10pm - 5:30pm | KEND 231 |
1/23/2024 | 5/6/2024 | TR | 11:10am - 12:30pm | KEND 231 |