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. R2)

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. R2)

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.

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.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

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.

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.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study.

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. R2)