Overview of organizational behavior, operations management, and strategy/entrepreneurship. Topics include: Behavioral background of formal organizational life, organizational design, integrating factors in collective behavior, organizational change, systems analysis, techniques of decision making and control, the organization and its environment, and the nature of management theory. Topics grouped in modules of organizational behavior, operations management, and strategy/entrepreneurship. Prerequisite: junior standing.

Human resource management in food service, hotels, and the travel industry. Functions of leadership motivation, job design, recruitment, wage and salary administration, performance appraisal. Training in health and safety.

Areas in banking that require application of analytical tools and techniques in bank decision-making process.

Application of financial models in the business environment. The use of computer-based spreadsheet and simulation packages in business analysis.

The time value of money; valuation of financial securities; allocating capital; an introduction to risk and risky decision making; the financing decision of the firm; financial statement and working capital management; more special topics include mergers and acquisitions, and international finance. Prerequisite: ACCOUNTG 221

This course is designed to be highly integrative in that students use knowledge and tools from all functional areas of business to develop a "whole organization" perspective. In addition, they integrate by examining these functions within the context of business and societal environments, such as the competitive, political/legal, socio-cultural, technological, and economic. Furthermore, they integrate and further develop general education knowledge and skills, such as written and oral communications in each course assignment. Finally, the course includes a highly sophisticated online Capstone Simulation "game" whereby students (in teams of four) put their knowledge and skills obtained in all UMass courses and even life experiences into practice by operating a company over an 8-year period and competing with other firms (other teams of students). Students conduct professional business meetings, make professional presentations, and prepare strategic plans for their "simulated" companies. Satisfies the Integrative Experience requirement for BBA-Acctg, BBA-Finan, BBA-OpInfo, BBA-Mgt, and BBA-Mktg majors.

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.

Students will use analytics to study a wide variety of issues affecting the sport industry. Topics examined include: player performance measurement, in-game decision making, player selection/team building, and general administration such as marketing, pricing, contracts, stadium management, etc. Students will learn not only how the recent application of analytics has improved each of these areas within the professional and collegiate sport industry, but also how analytics can improve decision making in any other field of business.

This course will develop a student?s mastery of cutting-edge project management techniques in Agile and Scrum methodologies, technologies, and toolkits. The student will be able to successfully develop and manage Agile teams, apply sound judgement to appropriate method implementation, ensure project outcomes, and influence business stakeholders. The course will include practical experiential learning, in a teams-based setting, to lead and demonstrate various Agile and Scrum tools and techniques.

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.