Supervised experience in teaching - test preparation and evaluation of agriculture students.

Repeatability: May be repeated. Maximum 2 hours for MS students and maximum 4 hours for PhD students.

Other Instructors: Mason, Katie | Kojima, Cheryl Jean | Mathew, Daniel J | Downey, Blair | McLean, Kyle | Jean-Philippe, Sharon

Overview of the logic and process of economic inquiry. Topics covered include the relationship between theory and applied research, problem formulation, definition of research problems, development of research problem statements with goals and objectives, and presentation and interpretation of results.

Introduction to applied mathematical programming and forecasting tools for decision-making toward agricultural and resource management. Single- and multi-objective optimization, relative efficiency assessment, and time-series forecasting and analysis applications using standard software.

Recommended Background: Calculus and intermediate microeconomics courses.

Introduction of simulation and forecasting methods for agricultural and resource problems, including probability basics, random number generation, Monte Carlo simulation methods, and univariate and multivariate regression model forecasting.

(RE) Prerequisite(s) : AREC 524 or consent of instructor.
Recommended Background: 500-level statistics or quantitative analysis course.

Other Instructors: Chen, Le

Supervised internship experience with appropriate agribusiness firm.