Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed. R1, R2)

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed. R1, R2)

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed. R1, R2)

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed. R1, R2)

Designed for students majoring in the Isenberg School of Management, Resource Economics, Economics, and other social science majors, and for students who haven't declared a major. Introduction to basic statistical methods used to collect, summarize, and analyze numerical data. Emphasis on application to decision making; examples from the social sciences. Topics include: common statistical notation, elementary probability theory, sampling, descriptive statistics, statistical estimation and hypothesis testing. Basic algebra required. (Gen.Ed. R1, R2)

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)

Microeconomic theory for majors and nonmajors. Concepts of supply, demand, markets, natural resource management, economic policy. Applications to business and government decision making emphasized. (Gen.Ed. SB)

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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.