MIMS Class Visits

We are excited to offer prospective MIMS students the opportunity to sit in on a MIMS Class! The following classes are available to visit this fall:

Info 231. Decisions and Algorithms
Taught by Diag Davenport, this class is intended for graduate students interested in getting an advanced understanding of judgments and decisions made with predictive algorithms. The primary aim is to help students understand systematic human errors and explore potential algorithmic solutions.



Info 225. Leadership, Management, and Collaboration
Taught by Judd Antin, this course focuses on the practice of leadership, collaboration, and people management in contemporary, distributed, information and technology-rich organizations. Additionally, this course places a special emphasis on understanding and reacting to social dynamics in workplace hierarchies and teams.


Info 271B. Quantitative Research Methods for Information Systems and Management
Taught by Coye Cheshire, the goal of this course is to provide students with an introduction to many different types of quantitative research methods and statistical techniques. Topics in research methods include: Primary and Secondary Data Analysis, Sampling, Survey Design, and Experimental Designs. Topics in quantitative techniques include: Descriptive and Inferential statistics, General Linear Models, and Non-Linear Models.