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Come experience an I School class for yourself. Classes open to prospective students this fall include:

Info 213. User Interface Design and Development
This course covers the design, prototyping, and evaluation of user interfaces to computers which is often called Human-Computer Interaction (HCI). It is loosely based on course CS1 described in the ACM SIGCHI Curricula for Human-Computer Interaction (Association for Computing Machinery, 1992). Topics include interface design and human-computer interaction, examination of alternative design, tools and methods for design and development, and methods for measuring and evaluating interface quality.

Info 271B. Quantitative Research Methods for Information Systems and Management
The course introduces students to many different types of quantitative research methods and statistical techniques. This course will be divided into two sections: 1) methods for quantitative research and, 2) quantitative statistical techniques for analyzing data. We begin with a focus on defining research problems, theory testing, causal inference, and designing research instruments. Then, we will explore a range of statistical techniques and methods that are available for empirical research.

Info 290. Experiments and Causal Inference
This course introduces students to experimentation in the social sciences. This topic has increased considerably in importance since 1995, as researchers have learned to think creatively about how to generate data in more scientific ways, and developments in information technology have facilitated the development of better data gathering. Key to this area of inquiry is the insight that correlation does not necessarily imply causality. In this course, we learn how to use experiments to establish causal effects and how to be appropriately skeptical of findings from observational data.

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