Previous Courses


RSM 1111: Integrating Models and Data

This course introduces students to the use of data in model-based decision making. Technological improvements have resulted in businesses having access to more data and more types of data than they have ever had before. This wealth of data means that it is now critical for managers to understand how data can and should be used as part of the decision-making process. In this course, we make the case that there is a difference between “what data say” (facts) and “what data mean” (relationships). Facts provide information about “how the world looks” while relationships provide information about “how the world works”. Mistaking facts for relationships can result in misguided and potentially very costly decisions. Thus, a key challenge that businesses face is determining when the facts observed in data can be interpreted as relationships on which decisions should be based. The objective of the course is to provide students with the skills to think carefully, critically and creatively about the data available to them and the facts presented to them to improve their ability to integrate data into their decision-making process.

RSM 1362: Statistics for Managers

This course teaches future managers how to extract information from data using statistical tools and how to apply probabilistic thinking to managerial problems. Topics include statistical study design, inference, regression analysis, and decision analysis. Applications to all functional areas of management are discussed. Upon course completion, the student will be better able to: Identify and formulate problems where statistics can have an impact See the relevance of statistics and apply what has been learnt to career practice and to other business courses Distinguish between routine and special problems requiring statistical analysis Understand statistical methods for quality improvement Assess data with healthy skepticism and seek expert help when needed Recognize when better data and information are needed for decision-making.

RSM 2506: Marketing Research

Marketing research involves four steps: collecting information, analyzing information, interpreting information, and communicating information. In this course, both qualitative and quantitative techniques will be used to collect and analyze information. By the end of the course, students will have designed a questionnaire, moderated a focus group, and used regression, factor, and cluster analysis to understand data. The course draws on a variety of applications including the automotive industry, the diamond industry, the Italian national railway, consumer packaged goods, newspapers, politics, and others.

RSM 2519: Marketing Using Information Technology

This course explores the role of emerging media in marketing. The course examines how the online setting is different from the offline setting and how access devices (PCs, mobile phones, tablets) affect business decisions. Topics include search engines, online advertising, electronic commerce, social media, mobile media, and privacy.