This course will introduce you to the building blocks of microeconomic theory. We cover consumer theory, producer theory, partial equilibrium, and public goods and externalities. This will provide you with the tools necessary to both understand and conduct research in economics.

This course introduces advanced econometric theory and tools for estimating and testing models, evaluating policy changes quantitatively, and more generally studying the relation between economic variables. The goal is to learn enough theory and get enough practice to be able to conduct sensible economic analysis. The course covers most contemporary methods on nonlinear estimation, including the Maximum Likelihood Estimator, Nonlinear Least Squares, and General Method of Moments.

This course will focus on probability theory and statistical inference, the foundations of econometric analysis. Probability theory is the building block that will allow you to understand estimation and statistical inference. The first part focuses on univariate distributions and multivariate distributions, with care taken to differentiate discrete and continuous random variables. The second part covers estimation and inference.

Market structure models with application to various industries. Firm behavioral strategies under different market structures. The role of product differentiation, advertising, market power, mergers, barriers to entry, price and non-price rivalry. Market performance including welfare, costs, and profits. BS Managerial Economics majors can satisfy their Integrative Experience requirement by taking this course plus Res-Econ 394LI and 453.

The purpose of this course is to present intermediate level microeconomic theory. Primarily we will focus on consumer demand theory and economics of production. Both graphical and mathematical approaches will be presented. This course provides the background necessary for more advanced courses in the department.

Economic analysis of natural resource use and conservation. Includes analyses of the use of fuel, forest, marine and biodiversity resources. Focuses on evaluating natural resource use in terms of efficiency and sustainability, and designing regulations for correcting inefficient and unsustainable resource markets. (Gen.Ed. SB)

Designed for students in the social science and business related fields of study. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences and business. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra and familiarity with computer and internet necessary. (Gen.Ed.

Explores the causes of hunger (chronic undernutrition) from an economic perspective. Focus on how population growth and economic development are increasing demand for food and on the prospects for food production to supply those needs at affordable prices, while sustaining the environment. Discussion in the context of the global economy in which increased trade links even the poorest urban and rural residents in developing countries to market forces. (Gen.Ed. SB, G)

Principles of microeconomic theory for majors and non-majors. Concepts of supply, demand, markets, economic welfare and policies. Applications to resource management in business and government context emphasized. (Gen.Ed. SB)

Students will reflect on and integrate their collegiate learning and experiences to date by completing the following activities: develop a personal reflective portfolio, inventory and identify skills attained as an undergraduate, update professional materials such as resume, cover letter and networking profiles; and explore career options. Students will participate in weekly team activities in a team-based-learning environment that fosters engagement and peer-to-peer feedback.