Students will reflect on and integrate their learning and experience in the following activities: 1) Update personal e-Portfolio. During the updating of their e-Portfolio students will complete a series of activities in which they: - Reflect on the courses they have taken at UMass. - Identify skills that they have attained through this course work. - Explore careers in Resource Economics and identify the careers that are of interest to them. - Identify the skills needed to succeed in the career paths they have identified. - Produce a professional resume and a sample cover letter.

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 may satisfy the Integrative Experience requirement with this course plus Res-Econ 394 and 471.

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

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Description not available at this time

Contemporary economic problems as they affect individuals and families in their financial planning, spending for consumer goods and services, saving, and investing. Family and individual issues such as taxes, insurance, retirement, and estate planning are examined.

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Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.

Emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. Includes brief review of sampling, sampling distributions, and basic inference for one-sample situations; comparison of two populations, chi-square tests for contingency tables, analysis of variance, simple linear regression, and topics in multiple regression and time series. Statistical software used for computations. A project using regression methods required.