The course provides an understanding of AI technologies, their potential benefits, and the ethical implications of their use. We will identify and articulate key legal principles that apply to AI technologies, and critically assess the ethical challenges. We will engage in debates that addresses the implications on public policy and individual rights, fostering a sense of responsibility as future leaders in technology.

This course exposes students to how core business concepts are implemented in real-world organizational settings. Key business processes covered include procurement (materials management), fulfillment (sales), and production (manufacturing). The class meets in a computer lab and enables hands-on experience, with instructor guidance, to the ERP solution from SAP, the world's largest business software company. Using the system's core modules and data warehouse, students will gain insight into online transaction processing (OLTP) and online analytical processing (OLAP). A detailed case study with supporting data and structured in-class exercises will prepare students for the SAP graded assignments. Students may download the SAP web-based client to their personal computers.

The cultural, economic, social, legal, political, or organizational forces that influence multinational marketing operations. Prerequisite: MARKETNG 300 or 301.

Introduction to marketing; survey of topics relevant to comprehensive study of marketing. Emphasis on describing the marketing process and on stressing the implications of these activities for society.

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.

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 course is designed to bring together concepts from Business Strategy and from traditional investments courses-in order to develop the thinking and techniques behind what is called "value investing." Unlike traditional investments curriculum, however, the emphasis here will be on individual company analysis and stock portfolio construction. That is, although understanding market dynamics remains important, we will mostly look at the capital markets from the vantage point of investors evaluating the investment prospects of one company at a time. In all, the course will develop concepts that help understand how and why stock prices fluctuate-or behave-so badly, and how careful individuals and companies ought to navigate through wildly unpredictable financial markets. In order to develop useful concepts and ways of thinking about the financial markets, therefore, this course will go beyond the textbook to practices, principles, and methods of investing as suggested by such value investing greats as Ben Graham, Phil Fisher, Warren Buffet, and Charlie Munger.

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.

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.