Teaching

Current Classes

Business Intelligence (BADM 453)
Provides a conceptual and practical overview of analytical tools, techniques, and practices used to support data-driven decision making in organizations. Topics include data visualization, data mining, machine learning techniques, and business intelligence programming languages.

Topics in Business Intelligence (BADM 557)
In recent years, an increasing number of companies, large and small, have begun to utilize big data and associated analytics methods to gain information and support their decision-making. This course introduces students to the basic principles and technology foundations of data mining, focusing on business applications of machine learning. Different topics such as different algorithms and software may be covered in different semesters.

Other Teaching

Business Analytics II (BADM 211)

This course builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting.

Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights.

Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.