Graduate Course Descriptions

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: 11-JUN-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2024 13827 Storrs Online Asynchronous Fragomeni, Breno 001 Reg 2/15 No Room Required - Online 3.00 Graded