Teaching

ADM 2304: Applications of Statistical Methods in Business

Topics include the estimation (using confidence intervals) and hypothesis testing (including non-parametric methods); correlation and the simple linear regression model (with extensions to multiple regression); and chi-square tests on qualitative data. Emphasis on understanding when and how to use (and not misuse) various methods.

ADM 4307: Business Forecasting Analytics

Advanced predictive analytics methods for business and management; time series analysis, econometric modeling, growth models, substitution and diffusion models, opinion polling, technology forecasting; selection of appropriate prediction techniques, collection and use of data, critical evaluation of results. Overview of advanced quantitative and qualitative techniques and of their context of utilization via presentations, projects and in-class discussions.

MGT 5301: Predictive Analytics

This graduate (Masters) level course covers the methodological foundation of machine learning and their applications in behavioral and marketing contexts. Methodological topics include generative models, kernels, Gaussian models, Gaussian processes, graphical models, and deep learning models. Applications include predictive analytics across a range of behavioral contexts including public health, social media, and digital marketing.