This course teaches how human and social cognition impacts decisions in individuals, groups, and organizations. It provides memorable frameworks to guide decision-making in individual and social settings and accommodates various negotiation and conflict resolution styles. The course uses lectures, interactive cases, case preparation, and self-reflection.

Includes the planning, processes (gathering evidence) & judgments required to render an opinion on an entity's internal controls and financial statements. Deals with evidence theory, risk identification & professional judgment. Audit methodology is examined through a study of auditing standards & the concepts & procedures developed to implement those standards. Other topics include data analytics, auditor independence,materiality & audit reports.

This course aims to provide students with a practical, managerial perspective on Artificial Intelligence. It covers key factors for the successful development, deployment, and management of generative AI, machine learning, and algorithmic approaches to automated decision-making. Students will better understand the societal impacts of AI and approaches to balance AI risks and benefits in organizations.

This course covers the fundamentals of data wrangling, exploration, and visualization for business decision making. In this course, we will learn techniques that will allow us to clearly, efficiently, and effectively communicate information and analyses through visual representations.

We will study the role of open source innovation through case studies anddiscussions that examine the potential of open source innovations to address long-standing societal problems, increase resilience to climate change impact, and foster new economic models. Students will leverage open source in team projects and work closely with identified organizations to gain experience in the application of open source innovation.

Global Commerce courses that count in the Management concentration.

This course familiarizes students with the restructuring of financially distressed firms and distressed investing. We analyze credit documents, model credit risk, and survey restructuring methods. Throughout, we consider credit and distressed debt as asset classes and develop techniques and models for investing in credit and distressed instruments.

Develops an analytical framework by which individuals and institutions can make optimal real estate investment and financing decisions. Emphasizes theory, concept building, financial modeling, and investment related real estate decisions. Uses the case method and industry experts to illustrate implementation of an analytical framework in evaluating both private equity and public (REIT) real estate investments. Prerequisites: Fourth-year Commerce standing or instructor permission.

This course addresses advanced, decision related issues within a value-based theory of real estate development, investment and finance. It facilitates student insights into the analytical techniques and theoretical perspectives relevant to such decisions. Uses the case method, industry experts, and site visits to illustrate implementation of an analytical framework in evaluating investments in established and development real estate projects.   Prerequisites: Fourth-year Commerce standing or instructor permission.

The GCS thesis program takes place over 3 semesters. Registration for COMM 4839 does not guarantee admission to the program. Admission to the program is determined by a faculty advisor's willingness to take on the student's project. During the 1st semester students will focus on developing their research idea with their advisor. They are expected to meet with their advisor regularly. Students must make sufficient progress to remain in the program.