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Student Voices in COVID-19
Student Life in Quarantine
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Industry Collaboration in Teaching
I teach analytics related courses at different levels—undergraduate, masters and doctoral. I am also the Co-Director of the MSBA program. Our goal for this program is to train students for “insights-from-analytics” for advancing practice.
Industry collaboration is a critical input to student training. Students experience industry collaboration in many ways. One way is through program assigned industry mentors for each students.
What do mentors do? Hear them explain...
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Our MSBA students work with our industry partners to become job-ready.Hear their experiences...
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Marketing Analytics: This undergraduate course focuses on developing skills for analyzing marketing data for making intelligent decisions about marketing investments that create value and build competitive advantage. In short, build capabilities for marketing ai – analytics for insights. This course is not about memorizing or programming, but about concept and tools for understanding marketing data, and analyzing it for insights. This course is developed, and will be delivered in partnership with Rosetta (http://www.rosetta.com/), an interactive consulting company committed to transforming marketing for the connected world. Click on the course logo below for the syllabus.
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Advanced Research Analytics: This doctoral seminar focuses on sharpening student's advanced analytical skills for rigorous, publishable research. The seminar approach is to have students review and critically re-analyze data from published research, and encourage participants develop an appreciation of analytical issues that have wide applicability and relevance. Topics covered include psychometric analysis, moderator-mediator analysis, multi-group analysis and longitudinal analysis. Application to the participant's own research work will be supported by sharing and discussing common themes and problems.
Click here for syllabus.
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Measurement/Multivariate Analytics (PhD Seminars): The measurement seminar aims to provide a broad understanding of the theoretical and methodological issues involved in social science measurement and methodology. Specifically, this seminar provides an in-depth discussion of the basic principles of construct measurement (e.g., PLS Measurement, Classical Test Theory, Item Response Theory, Generalizability Theory). The multivariate seminar focuses on the theoretical and methodological issues involved in applied multivariate data analysis. This seminar examines assumptions, principles and applications of a selected set of multivariate techniques (e.g., Multiple/Logistic Regression, Survival Analysis, Profile Analysis, SEM, and Multilevel Analysis).