This course counts toward the following majors: Decision Sciences.

This sequel to DECS-433 extends the statistical techniques learned in that course to allow for the exploration of relationships between variables. Topics include one- and two-population hypothesis testing, correlation, simple and multiple regression analysis, and qualitative variables. The course also covers applications of the material and a number of case studies. Extensive use of spreadsheet statistical analysis software is required.

Analytics Consulting Lab (ACL) (DECS-915-0)

This course counts toward the following majors: Decision Sciences, Analytical Consulting, and Operations

The Analytics Consulting Lab is a practicum for students interested in developing deep skills in analytics. In this course, students apply classroom concepts and techniques to a real-world analytical task in which they use data to support a managerial decision. Working in a group, students will call upon techniques and theories such as statistics, multivariate regression, optimization, stochastic simulation, decision tree analysis, time series analysis, forecasting, real options, risk analysis, data mining, and discrete event simulation. The projects, pre-approved by faculty, will touch many industries and aspects of business management. A second MEDS course that supports the project is also required.

Entrepreneurial Risk (ENTR-904-B)

This course counts toward the following majors: Entrepreneurship & Innovation

The entrepreneur faces many risks. This course will present risk-management and risk-measurement techniques appropriate for the entrepreneur. The course makes use of real-world examples and will provide students an opportunity to develop risk forecasts in an entrepreneurial setting. We’ll focus on the impact of uncertainty on business projections and the role of the entrepreneur in managing risk in a start-up. Students should bring to the class an entrepreneurial opportunity for consideration. Students will apply the risk management techniques developed in class and present their recommendations as part of a final project and presentation.

Strategic Data-Driven Marketing (MKTG-952-0)

This course counts toward the following majors: Technology Industry Management.

In today’s environment, Chief Marketing Officers require tools and techniques to both quantify the strategic value of marketing initiatives, and to maximize marketing campaign performance. This course is designed to help marketers demonstrate the return on investment (ROI) of marketing and leverage data from marketing analytics to make better and more informed marketing management decisions. The course covers marketing performance management, marketing measurement, marketing ROI, customer value based segmentation, customer lifecycle management, internet search engine marketing optimization, data mining segmentation, analytic marketing, and strategic marketing data creation. Students are introduced to typical data mining techniques for marketing, have access to real data sources, and will conduct hands-on marketing analysis using data mining tools. This class counts towards the Marketing and Marketing Management major.

Spreadsheet Modeling for Managerial Decisions (OPNS-450-0)

This course counts toward the following majors: Analytical Consulting, Decision Sciences, Operations.

This course focuses on structuring, analyzing and solving managerial decision problems on Excel spreadsheets. We address problems of resource allocation (how to use available resources optimally), risk analysis (how to simulate the effects of uncertainty in problem parameters), decision analysis (how to analyze sequential decisions involving uncertainty), data analysis (how to synthesize the available data into useful information) and forecasting (how to extrapolate past observations into the future). In each area, we pose specific problems from operations, finance and marketing, structure them on Excel spreadsheets, and analyze and solve them using the available Excel commands, tools and add-ins. The course involves a hands-on, in-class learning experience in modeling and analyzing a variety of business decision problems on a common spreadsheet platform. It should, therefore, enhance one's problem-solving capabilities as well as spreadsheet skills. A good working knowledge of Microsoft Excel is required.

Operational Risk (OPNS-919-A)

This course counts toward the following majors: Operations.

This course will explore how different industries use the term “operational risk” today, and the techniques used to identify and quantify such risk. Specific emphasis will be given to the consideration of operational risk in financial services, as motivated by the Basel II accords and the general information technology arena. Students will develop a framework for identifying, assessing and managing operational risk through examples and a project. Working in teams, students will apply an operational risk management framework to a real company and present their approach to the class on the last day of the course.