Students will develop their analytical, decision-making, and communication skills related to marketing management of food systems in the world economy. They will analyze a foreign market’s potential and market entry strategies; compare consumer differences and similarities across markets; define issues related to marketing mix standardization or adaptation; and evaluate effects of economic, social, and legal environments on marketing strategy. 

Addresses issues in the strategic management of agricultural and food businesses. Emphasis is on developing a framework for formulating strategy, making strategic choices in a variety of business environments, and implementing strategy. Extensive use of management case studies and a major term project with an agribusiness firm focus on developing managerial problem-solving skills.

Introduction to constrained and optimization problems and their solution using mathematical programming techniques. Theory and implementation of linear, quadratic, and integer programming methods are examined. Applications to farm management, diet and feed rations, spatial market equilibrium, agricultural sector analysis, and other problems from agricultural economics. Use of computer software packages for practical problems.

The course objective is to expose students to a wide range of global issues directly and indirectly related to the production, processing, and marketing of agricultural products (food, fuel, fiber). Topics vary and may include food security, malnutrition, food safety, biofuels, the environment, trade and agricultural policy, emerging agricultural technologies, and climate change.

The course objective is to assist students in identifying and exploring market opportunities in international agribusiness, including those related to the production, processing, and marketing of agricultural products including food, fuel, and fiber. The course combines lectures with discussion and project-based learning and group activities. 

Brief presentation of probability concepts, mathematical expectation, probability density and distribution functions as background for studying principles of economic model construction. Emphasis is on econometric single equation models, principles of estimation, the general linear model, tests of hypothesis, confidence interval estimation, and special topics such as errors in the variables, multicollinearity, dummy variables, hetero-scedasticity, autocorrelation and prediction problems.

Consumer behavior and demand, production and cost, factor demand, market structure, general equilibrium and welfare. Emphasis on the tools used to analyze the behavior of individual economic units. 

Course content includes money and banking, national income and aggregative economics; the analysis of the determination of national income, employment, the price level, and the balance of payments. Consideration of both theory and economic policy.