The principles of sustained yield timber management, organization of the forest area, management objectives, timber valuation, regulation of the cut, and timber management plans. Lecture, three hours; laboratory, two hours per week.
Applies micro agricultural finance to farm and other agricultural business firms. Reviews elementary mathematics of finance and the objectives of financial management. Uses financial statements, cash flow analysis, financial leverage and other elements in applying the theory of capital investment for making management decisions.
Economic analysis of the problems of assuring resource availability and environmental quality. Theoretical concepts and empirical tools for evaluating resource and environmental policy.
Advanced study in special topics in agricultural economics. May be repeated under a different subtitle to a maximum of fifteen credits. Lecture, one to three hours; laboratory, zero to six hours per week.
Advanced study in special topics in agricultural economics. May be repeated under a different subtitle to a maximum of fifteen credits. Lecture, one to three hours; laboratory, zero to six hours per week.
This course uses calculus to develop core concepts in microeconomics and show how they can be applied to agricultural and natural resource issues. A central objective of this course is to link mathematical techniques with economic analysis to show students that calculus provides an efficient way to study producer and consumer behavior.
Directed independent study of a selected problem that generally is sustained over an entire semester, requires data analysis, and results in a significant written product suitable for publication. May be repeated to a maximum of six credits.
Directed independent study of a selected problem that generally is sustained over an entire semester, requires data analysis, and results in a significant written product suitable for publication. May be repeated to a maximum of six credits.
An introduction to mathematical approaches to economic theory. Emphasis on linear models, constrained optimization, and techniques used in comparative statics.
This course uses statistical tools to model agricultural and economic systems. Subjects covered include: (1) the classical linear regression model, techniques for single and simultaneous equation models.
