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.

Doctoral dissertation research.

Feeding and related management of dairy cows, nutrients and their use, digestive anatomy, physiology, energy systems, forage quality and conservation methods, metabolic disorders, ration balancing.

This course prepares participants to effectively write different types of grant narratives based on organizational need(s). Topics may include the strategic purpose of grants, basic grant elements, effective grant-writing strategies, and grant management and stewardship process and tools.