This course introduces fundamental concepts and computations for statistical analysis of business data and real-world problems with an emphasis on understanding and interpreting statistical information, and using it to form sound judgments in business situations. The course covers basic descriptive statistical methods, sampling methodology, how to draw inferences from samples to larger populations and how to make predictions based upon historical relationships between variables. Theoretical background in descriptive and inferential statistical methods will be used support knowledge of the appropriate statistical test to perform in a given situation. The statistical methods that are covered in the course equip the student with the analytic reasoning and quantitative arguments that applies to all areas of business and management.

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.

Not available at this time

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This course examines practices and systems utilized in managing and operating today's modern lodging establishments. Topics covered include: front office operations, guest service and accounting, revenue management, security and safety, and housekeeping as well as issues related to coordination with other departments such as food and beverage or sales.

This course develops expertise in Finance, Technology, Innovation, leadership, and decision-making by focusing on real-world challenges in the field of FinTech. We will be actively discussing and learning how to analyze, identify, and manage/innovate FinTech across many functional disciplines, including Financial, Insurance, Banking, Trading, Information Technology, and Budgeting. Students are introduced to the Financial industry and the FinTech ecosystem. The course adopts a decision-maker and leadership perspective (business, operational, functional, and technical leadership) by emphasizing the relationships among financial data, their underlying economic events, risk profiles, challenges/opportunities, and the responses by all stakeholders in a business/corporation.

This seminar is the second part of the Dean's Academy Seminar series. This seminar continues with the introduction for students to the business school and, more specifically, business leadership. Students have opportunities to meet with Isenberg leadership and other faculty to discuss various topics and current issues businesses are facing. Students will also meet with external professionals / business executives to better understand their profession and discuss challenges businesses are facing within their industry.

A conceptual overview of federal tax laws, focusing on the broad structure of the income tax law and how that law relates to many business investment and personal activities. Includes basic tax policy issues and the many social and political implications of our current tax system.

Students use economic analysis to study a wide variety of issues affecting the sport industry. Topics examined include: optimal ticket pricing strategies; the effects of free agency and collective bargaining processes on player salaries; the effects of league-wide policies such as revenue-sharing, salary caps, and luxury taxes on team financial performance and on league competitive balance, and; the impacts and rationales for government subsidization of stadiums. Both professional and college sports are examined.

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