Political scientists frequently use quantitative methods to study public opinion, elections, social movements, wars, and other important political phenomena. This course provides students with an introduction to basic concepts in research design, statistical analysis, and causal inference, using contemporary examples of how these concepts can be applied in the real world. Students will learn how to conduct their own research using computerized data and software and present their results to others.

Political scientists frequently use quantitative methods to study public opinion, elections, social movements, wars, and other important political phenomena. This course provides students with an introduction to basic concepts in research design, statistical analysis, and causal inference, using contemporary examples of how these concepts can be applied in the real world. Students will learn how to conduct their own research using computerized data and software and present their results to others.

Political scientists frequently use quantitative methods to study public opinion, elections, social movements, wars, and other important political phenomena. This course provides students with an introduction to basic concepts in research design, statistical analysis, and causal inference, using contemporary examples of how these concepts can be applied in the real world. Students will learn how to conduct their own research using computerized data and software and present their results to others.

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The semiar will provides structure and peer review for the dissertationprocess. Students will focus on their dissertation, working in small groups to achieve their individual goals.

This practicum prepares students for beginning professional nursing practice. Students are expected to synthesize knowledge and skills to manage and advocate for groups of clients in various settings.

499 - seminar

499 - seminar

This course offers an in-depth introduction to the management of technology and innovation. It will focus on critical stages of the innovation process, including the management and creation of technology, where key managerial decisions?such as resource allocation and cost-benefit analysis?play a central role. We will start with a historical overview of institutions that have shaped science and innovation, followed by a framework for how to incentivize innovation. We will also cover the basics of intellectual property, including patent analytics.

This course will introduce students to AI technology and the current use cases in business, with an emphasis on the ethical and legal implications of AI adoption. Guidelines for responsible AI adoption by business will be explored, along with frameworks for effective AI policy.