ST-Data Analysis & Interprtatn

Informal discussion class, focusing on students' problems, concerns, or enthusiasm with their own experimental designs, data analyses, or interpretations of results, including computer- (particularly SAS) generated output. New techniques presented by the instructor or guest instructors as requested by the class. Students gain practical experience with data analysis and a better understanding of the approaches necessary for their own thesis or dissertation work. Prerequisite: PLNTSOIL 661 or other course in intermediate statistical analysis.

Research Literature

This is an independent study project that allows graduate students to conduct an extensive literature review prior to conducting thesis research. Grading will be based on the quality of the written literature review as evaluated by each student's thesis/dissertation advisor.
Subscribe to