Shipeng Han, PhD he/him

The first of two courses that provide a comprehensive treatment of financial reporting topics. The course focuses on the conceptual, procedural, and regulatory issues involved in preparing and understanding corporate financial statements.

A study of the audit function as performed by the outside public accounting firm. All stages are covered: planning the audit, gathering evidence, review of internal control provisions, development of working papers, analysis of accounts, preparation of statements, and final audit report. The ethics of the accounting profession are stressed throughout the course.

A study of the audit function as performed by the outside public accounting firm. All stages are covered: planning the audit, gathering evidence, review of internal control provisions, development of working papers, analysis of accounts, preparation of statements, and final audit report. The ethics of the accounting profession are stressed throughout the course.

Covers analysis of financial statements and corporate valuation from a users perspective. This course provides a solid foundation in financial statement analysis for students majoring in finance. Ratio analysis and other analytical tools to assess profitability and risk of the firm are reviewed and reinforced; financial statements forecasting is introduced.

Covers analysis of financial statements and corporate valuation from a users perspective. This course provides a solid foundation in financial statement analysis for students majoring in finance. Ratio analysis and other analytical tools to assess profitability and risk of the firm are reviewed and reinforced; financial statements forecasting is introduced.

An introduction to the use of data and analytics in accounting. Students will gain an understanding of the tools used to generate predictive analytics and gain insight into how to effectively use accounting analytics to make better decisions. Topics covered include data collection, data manipulation and analysis, financial reporting and analytics, predictive analytics, visualization techniques, and decision-making. This course focuses primarily on the concepts and theories related to data analytics, rather than on the algorithms or statistical math used to implement them. While certain tools may be used to illustrate these concepts, the primary goal of this class is to provide students with an understanding of the fundamentals of data analytics, rather than an in-depth knowledge of the technical details.