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.
Prerequisites: Recommended Preparation: Introductory college-level statistics.
Grading Basis: Graded
Design and analysis of experiments commonly conducted in agricultural field, greenhouse, and laboratory research. Emphasis on replicated treatment experiments based on completely random, randomized block, Latin square, split-plot, and split-block designs. Limited coverage of non-replicated treatment observational-type experiments. Statistical analyses performed primarily in SAS (Statistical Analysis System) software. Presentation of summarized data using computer generated graphics from various software packages.
Last Refreshed: 18-SEP-19 05.20.26.980339 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Grading Basis||Notes|
|1203 11153 1 001||Spring 2020||11153||Storrs||In Person||Guillard, Karl||001||Reg||We 1:25pm‑4:25pm
|1203 11154 1 001L||Spring 2020||11154||Storrs||In Person||Guillard, Karl||001L||Reg||Fr 1:25pm‑3:20pm