Statistics In Psychology

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Statistics In Psychology

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Statistics In Psychology

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Statistics In Psychology

Basic conceptual knowledge of statistical reasoning, skill in applying common statistical techniques. Topics include probability; measures of central tendency, variability, and correlation; and statistical inference involving one- and two-group means. (Gen.Ed. R2)

Marketing Research

Introduces primary and secondary data collection and analysis as a means to assess consumer behavior and develop effective marketing strategies; incorporates the use of technology in data collection and analysis. Prerequisites: MARKETNG 301; STATISTC 140 or 141 or RES-ECON 211 or 212.

Internet Marketing

As recent advances in technology have affected nearly every facet of marketing, digitization has revolutionized marketing strategy. Big data, social media networks and new monitoring tools to measure customer journeys are revolutionizing the way consumers and brands engage in online conversations. This course is designed to introduce new theoretical frameworks emerging from digital marketing, covering in detail topics such as search marketing, customer experience analytics, social media marketing, and recommendation systems.

ST-Econ/Big Data: Liars' Econ

Liars' Economics will introduce students to skeptical and effective consumption and production of information in the era of big data. Students will learn how to spot and avoid statistical pitfalls, irrational decisions, fake news, information out of context, and blind faith. The course will draw from historical examples and current events and from contemporary debates in economics and political economy. Students will practice interpreting, visualizing, and writing about big data.
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