This course focuses on the theory and application of Social Network Analysis to manage social and organizational networks effectively. This course is designed to help you assess, diagnose, analyze, and prescribe a wide variety of social and organizational network problems using theory and analytic software. Participating in this course will allow you to: gain experience in collecting and representing network and relational data; develop skills in analyzing network data; understand how social networks are related to consequential outcomes in your personal life, in society, and in organizations; and practice applying these skills and knowledge to people-analytic challenges in organizational settings, such as organizational design.

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students' understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

This course will provide an overview of the practice of Commercial Real Estate from a financial investment perspective, including strategic planning, transaction management, valuation, capital markets, sustainability, construction project management, development, building systems, property management, legal issues, and developing a disruptive leadership mindset. Real estate asset types to which these topics will be applied include multi-family, office, industrial, logistics, retail, eCommerce, and data centers. Course methods will include real-world case studies with a capstone Case Competition.

This is an introductory course in analytics tailored for accounting professionals. Through hands-on work, students learn to ask the right business questions, extract and transform relevant data from an enterprise system, evaluate the integrity of the data, detect patterns and anomalies, apply data analytic techniques, and interpret and present results in order to make data-driven decisions.

A broad survey of legal problems encountered in business transactions; emphasis on implications to accountants and auditors. Prerequisite: MANAGMNT 260.

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.