Topics may include: the design of environmental and natural resource policies, particularly incentive-based policies; the analysis and control of environmental risks; cost-benefit analyses of specific environmental policies; critiques of cost-benefit analysis, international environmental cooperation; environmental and natural resource policy in the developing world; sustainability, and the conservation of biodiversity. BS-ResEc majors can satisfy their Integrative Experience requirement by taking this course plus Res-Econ 394LI and 471.

Students will reflect on and integrate their learning and experience through the following activities: 1) Update a personal Reflective Portfolio and complete a series of activities in which they inventory and map courses taken, work experience, and extracurricular activities and identify skills they have attained through this experience; develop an updated resume, a networking website profile, and presentations of themselves as Resource Economists; and explore careers in Resource Economics and identify the skills needed to succeed in those career paths, and 2) Participate in weekly team activi

Economic models of renewable and nonrenewable natural resources; introduction to dynamic optimization; and the theory of environmental policy.

Description not available at this time

Description not available at this time

Foundations of interest rate theory and fundamentals of finance. A problem-solving approach to selected financial applications as they affect microeconomic units such as the individuals, households, and small businesses. Financial planning, spending, credit and saving, investing, taxes, insurance, retirement, and estate planning are examples of the topics that will be examined.

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Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques like moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques like moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.

Topics include hypothesis testing for two populations, analysis of variance for comparing three or more populations, simple linear regression, topics in multiple regression, and univariate time-series techniques like moving averages and exponential smoothing. Statistical software is used for advanced computations. Basic algebra required.