This course provides students with an introduction in how to effectively fill the role of Project Manager. It covers a blend of conceptual knowledge and practical skills necessary for the effective management of complex projects.

This course focuses on how to successfully commercialize breakthrough technologies that have high potential to generate social and/or economic value. Issues related to identifying market needs and potential, developing commercialization plans, and understanding business models and entrepreneurial strategy are covered. As an introduction, this is not an appropriate course for students who minored in or have a strong foundation in entrepreneurship.

Through labs, assignments, and a capstone project, students build, evaluate, & deploy predictive ML/AI models using low-code technologies and learn how to apply these concepts to create value & support real-world applications. Students will also learn managerial considerations employing analytics initiatives to create business & societal value. No prior experience with coding, machine learning, or AI is assumed or expected.

New Graduate Commerce Course: Special Topics in Finance

The course provides an overview of the fundamentals necessary to conduct data analytics with Python including understanding Python objects, data types, structures, packages, and data flow statements; and, reading, writing, manipulating, and plotting data. Students will perform predictive analytics via machine learning using industry-standard packages.

This course examines ethical considerations within specific contexts frequently encountered by accountants to recognize common ethical situations faced in business (by accountants, their organizations and their clients). We will study ethical frameworks and professional rules and practice, applying analyses to real-life and fictitious cases to learn from the experiences of others and how to manage ethical challenges in a professional context.

This course covers the theory and practice of corporate financial reporting. It highlights the development of generally accepted accounting principles (GAAP) and accounting policy choices at the macro (standard setter) level and the micro or company level. Cases are used to evaluate accounting conventions, particularly with regard to how those decisions reflect economic reality and the quality of earnings. Restricted to MS in Accounting Students.

This course has been designed to expose students to the various statutory, administrative, and judicial sources of the tax law. Case studies are used throughout the course to assist students in developing and refining their proficiency in identifying issues, locating and interpreting pertinent authority, and effectively and professionally communicating their conclusions. Students will learn to use the electronic tax data base RIA checkpoint.

Intensive study of advanced auditing topics, including how auditors are using data analytics to respond to new challenges facing the profession. Topics will be covered primarily through (a) professional and academic readings and (b) a case-based approach that will allow for a hands-on experience with data analytics tools and techniques. Prerequisite: Auditing.

Provides an overview of the concepts, technologies, and tools necessary to support and improve electronic commerce, with emphasis on tools and methodologies for measuring and enhancing digital presence. The two major areas covered are web analytics and search analytics. Through a semester-long group project, the course focuses on how these concepts can be used to measure, analyze, and improve user experience, web traffic, and conversion rates.