This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

In the digital age, the ability to analyze and interpret marketing data has become essential for success. This graduate course is designed to equip students with the skills needed to harness the power of data in making strategic marketing decisions. Through a blend of theoretical concepts and hands-on practice, students will learn how to clean, analyze, and visualize marketing data from real world datasets. Students will acquire knowledge about the methods and software that are used to understand issues such as market segmentation, sales forecasting, and conjoint analysis.

Not available at this time.

This seminar introduces and trains students in the process of analyzing unstructured qualitative data using interpretive methods. It covers the philosophy, theory, and methodology of interpretive analysis used in marketing and other social science disciplines, including coding, cases, themes, and theory development. The seminar provides analytical tools for qualitative researchers and others to strengthen the conceptual and practical contributions of their work.

In this course students will learn to prepare and interpret the three major components of the corporate annual report: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. The underlying accounting model that produces these statements will be critically reviewed; both its strengths and limitations will be evaluated. Additionally the role of popular ratios in forecasting firm profitability, risk, and liquidity are considered. Student will gain this knowledge through homework assignments, discussion questions, and an integrative case analysis.

This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

This doctoral seminar examines how artificial intelligence is reshaping business, organizations, and the nature of work. The course analyzes AI not merely as a technology but as a general-purpose technology with profound implications for competitive advantage, firm boundaries, innovation processes, individual cognition, team processes, the nature of work, and the structure of markets and institutions. The seminar integrates perspectives from strategy, organizational theory, economics of innovation, labor economics, information systems, and cognitive science. Students develop a research paper suitable for submission to a leading journal in their home discipline, emphasizing critical evaluation of existing literature, identification of research gaps, and development of novel theoretical contributions.

This course builds upon the content covered in Exploring Data Analytics for Accounting Professionals, by continuing to develop the skill set and approaches needed to be an analytically-minded accounting professional. Students will learn how to assess and communicate business problems, to evaluate and analyze data and to develop and effectively present data-driven recommendations.

This course helps you develop a basic understanding of auditing theory and practice by introducing you to the objectives of auditing and the decision-making process used by auditors to accomplish those objectives. The basic financial statement audit process is discussed including the concepts of evidence, materiality, and risk.