This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.

This course provides students with the fundamental concepts, principles, and tools needed for making financial decisions regarding real estate assets. Financial decisions along the entire life cycle of an income producing property will be covered. Investment decisions will be evaluated from both a before-tax and after-tax perspective. Students will analyze how to structure and finance a project through a combination of equity and debt. A review of income leases and types will be conducted, along with an analysis of property repositioning and financial risk management.

This course reviews the foundations of modern economics with an emphasis on its applications in business. Course coverage includes a range of both microeconomic and macroeconomic subjects. Topics include demand and supply analysis, consumer theory, theory of the firm, unemployment, inflation, monetary and fiscal policy, economic growth, the causes and consequences of recessions, and issues in global economics.

This course reviews the foundations of modern economics with an emphasis on its applications in business. Course coverage includes a range of both microeconomic and macroeconomic subjects. Topics include demand and supply analysis, consumer theory, theory of the firm, unemployment, inflation, monetary and fiscal policy, economic growth, the causes and consequences of recessions, and issues in global economics.

The most challenging decisions that business leaders have to make often require particular attention to core values and ethics. These situations can be triggered by a government investigation, ambiguous clinical trial results or product safety concerns. Others may involve a potential employee termination. In each case, the leader must understand the facts, grapple with nuances and consider the deeper dimensions of the required action. Playing the role of CEO, board chair or other decision-maker, students in this seminar will examine dilemmas that test a company's core values and ethics.

This course examines negotiation fundamentals, including the two core strategies of competitive (win-lose) negotiation and integrative (win-win) negotiation. Course content focuses on negotiation preparation, strategy formulation, determination of goals and objectives, and processes for bringing about a successful settlement. The course will also explore psychological processes, power dynamics, communications at all stages of negotiation, ethical issues and the challenges of cross-cultural negotiations.

This course provides an understanding of the strategic role of Information Technologies (IT) in business; how to successfully integrate IT into the organization; how to manage the challenges associated with conceiving, justifying, implementing and maintaining IT-based initiatives ; and how to be an active and productive participant in management decisions that involve IT.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.