Classroom readings, lectures, and discussion will focus on providing students with a better understanding of marketing and consumer behavior in the sport context.

The most important asset of a company is its brand, which can be utilized to create a long-term competitive advantage in the market. Therefore, companies invest an ample amount of time and money developing and nurturing their brands. Thus, this course will focus on providing students with the knowledge of fundamental principles of brand management as well as teaching how to define, develop, and apply strategies to manage a brand successfully, and to create, measure, sustain, and grow the brand equity. The topics we will cover in the course falls into 5 key areas: (1) Defining a brand, (2) Developing a brand, (3) Designing and implementing brand marketing initiatives, (4) Measuring and interpreting brand performance, and (5) Managing the growth of a brand.

The purpose of this course is to introduce students to the area of corporate finance and investments. Students will learn about the basic concerns and responsibilities of financial managers, and gain an appreciation of the methods of analysis employed by them. Students will learn both theory and practice of corporate finance and investments.

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 is designed to help students meet the demand for effective writing and speaking skills in the professional workplace. Topics include rhetorical considerations involving audience and purpose, writing style and tone, organizational strategies, research skills, evidence-based writing, and page design, along with assignments in professional correspondence, report writing, and public speaking and visual aids. This course satisfies the University's junior year writing requirement.

Overview of law and legal systems; attention to legal aspects of management problems.

The purpose of this course is to provide students with a broad introduction to diversity and inclusion in business. Students will examine a range of topics including but not limited to dimensions of diversity, unconscious bias, inclusive leadership, global cultural competency, and allyship. Upon completion of this course, students should understand how the various dimensions of diversity, techniques for developing an inclusive culture, and how competency in these areas will influence the future of work.

This course is designed to prepare students for success in the following career and professional development competencies such as networking, internship/job search, professional etiquette and industry research. Specific activities will include but are not limited to: resume building, interviewing skills, dressing for success, utilizing social media platforms, developing elevator pitches, building professional connections, increasing knowledge of industry and career areas and navigating career fairs.

The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.

The Artificial Intelligence in Business is designed for business major students aspiring to develop a deeper understanding of artificial intelligence and its use in business applications. The course will provide an introductory overview of different mathematical and computational data analysis tools and machine learning techniques commonly used in artificial intelligence. Focus will be on case studies and applications that demonstrate how artificial intelligence can augment current business operations.