The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
5004. Introduction to Data Analysis in Agriculture
3.00 credits
Prerequisites: Instructor consent.
Grading Basis: Graded
Concepts of data analysis applied to agriculture. Introduction to R/Rstudio and basic elements of coding, data management, data cleaning, graphics, and statistical analysis. The course covers software installation, basic and intermediate usage, and some of the common data analysis tools used in agricultural research. Additionally, the course covers some basic examples of bioinformatics that are commonly used in agriculture. Course includes recorded lectures, notes, homework, two small data analysis projects, and a capstone data analysis project.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
| Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1248 13827 1 001 | Fall 2024 | 13827 | Storrs | Online Asynchronous | Fragomeni, Breno | 001 | Reg | 1/15 | No Room Required - Online | 3.00 | Graded |