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Course Criteria
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1.00 Credits
Development of decision tools for agribusiness using spreadsheets. Topics include internet as a data source, budget development and analysis, financial calculations, regression, search techniques, and optimization.
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3.00 Credits
This course provides a comparative analysis of the business and economic situation of the food and agriculture sector around the world. The course will cover the European Union, the Former Soviet Union, MERCORSUR, and Southeast Asia. The course will focus briefly on the historical development, the current situation, and the future outlook of the food and agriculture sector. Upon completion of this course, students will be able to evaluate the comparative advantage of the United States in the production of food and fiber.
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3.00 Credits
Application of optimization techniques including linear programming and nonlinear programming for research and decision analysis in agricultural economics.
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3.00 Credits
This course covers financial management, long-term investment analysis, the performance of alternative investments, and the theory of efficient markets. Topics covered include comparative financial analysis, short-term budgeting, and capital budgeting. Applications include agribusiness decision making and project analysis.
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3.00 Credits
Various forms of risk inherent to firms operating in agricultural and food product markets are explored. Risk management techniques including diversification, insurance, forward contracting, hedging and options are examined through applied problems with the use of simulation. Emphasis is placed on managing risk associated with input prices, output prices, enterprise organization and financial instruments.
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3.00 Credits
A study of agribusiness logistics and the fundamental concepts underpinning logistical decisions and their impact on a firm’s sustainability. Topics include supply chain management, transportation and storage, contracting and out sourcing, strategic logistic planning, network analysis, and B2B e-commerce in food and agriculture. Focus will be on agribusiness logistics issues in grain and grain-based food supply chains and in the livestock and meat supply chains, including global logistics.
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Credits
Seminar on methods of economic analysis will be offered upon sufficient demand.
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3.00 Credits
Use of econometrics to enhance agribusiness decision making is the focus. Concepts of simple and multiple regression and limited dependent variable models are presented. Econometric issues of functional form, relevant variables, predictive performance, and model diagnostics will be examined. Numerous applications of techniques to agribusiness problems are used.
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2.00 Credits
This course is an introduction to optimization techniques designed to provide quantitative support for agribusiness decision making. Upon completion of this course, students will be able to construct and evaluate optimization models useful for evaluating linear problems, integer problems, and nonlinear program.
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