— Models in Agriculture & Nutrition

Prerequisites & course information

Course Description: Basic model building principles and techniques for statistical and systems simulation models. Optimization techniques for non-linear experimental designs and management models are presented. Quantitative analysis and evaluation of linear and non-linear equations used in agriculture and nutrition. Learning Activities: Lecture 2 hour(s), Laboratory 3 hour(s). Grade Mode: Letter. Learning Activities: Lecture 2 hour(s), Laboratory 3 hour(s). Grade Mode: Letter.