Techniques of multivariate statistical an-alysis as applied to business research. Discriminant analysis, canonical correlation, multivariate analysis of variance and covariance, factor analysis, cluster analysis.

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Examines and evaluates legal problems as they relate to the business environment. Course will deal with areas of law including contracts, agency, ethics, bankruptcy, business organization and other areas of commercial law.

Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

Basic concepts of supply chain management such as synchronized information, product and financial flow, channel design and configuration, supplier relationships, internal and external logistics, and inventory deployment and replenishment. Supply chain modeling for the optimization and monitoring of a supply chain, or a segment thereof, using network (mathematical programming) models.

Course will address the needs of students considering starting their own business or purchasing and managing a business or franchise. Areas to be covered during the class are as follows: Idea generation ? differentiate or die; discuss the importance of ?differentiation? and why most new businesses underestimate this critical concept. Choosing the appropriate business structure: Limited Liability Company, Subchapter C Corporation, Subchapter S Corporation. Developing the business plan: gathering and preparing the proper information to attract financing.

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An understanding of consumer promotion is essential for anyone aiming to sell products or services. Through weekly readings, case studies, PowerPoint lectures, and threaded discussions with industry executives, students will gain insights into the strategies used to drive product/service sales, including rebates, sweepstakes/contests, gift with purchase, cause-related marketing, loyalty programs, trade promotion, sponsorship, ambush marketing, and the use of celebrity endorsers/influencers, among others.

As people are increasingly sharing their daily lives on social media, organizations and celebrities are using it as a channel to directly engage with followers. A lot of data is being generated in these interactions. This course seeks to provide students with frameworks and tools to gather insights from this data. For an organization this might allow them to gain insights into their market structure and their customers' perceptions of the brand.

This course covers essential concepts and methods to foster data-driven decision-making to motivate business insight and innovation. Lessons cover topics in big data, algorithmic thinking, machine learning, data visualization, and communication. Projects spanning several weeks focus on business problems that can be solved through the application of cutting-edge Data Science techniques. Students develop proficiencies in the use of Python, R, and Tableau by completing regular exercises and projects using real data. No prior programming experience is expected.