Intro Stats/Soc Sci

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.

Price Theory

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.

Intro Resource Econ

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)

Economics is Everywhere

In this course, we seek to elucidate our role as consumers in society and demonstrate the usefulness of economic perspectives in understanding not just the economy, but society more broadly. We are all consumers in many ways. We consume physical products, of course, but we also consume art, media, information, policy, and natural resources. This course will use economics to shed light on these many dimensions of consumption. We will begin by establishing some key economic principles and themes.

Computng:Foundtns to Frontiers

Students work in a team-based learning environment to develop understanding of contemporary computing tools and concepts and the higher-order skills necessary to design and develop information systems that serve the interests of an organization. Topics include data analysis and modeling using MS Excel spreadsheets and relational data management using MS Access and an introduction to SAS analytics software. Students are evaluated through a variety of means: group projects, individual homework, in class team-based exercises, informal reflections, peer evaluations, and exams.
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