ACCT5122: Auditing Principles and Procedures II

2 Credits

This course leverages the audit concepts discussed in ACCT 5121W and introduces various ways that data analytics and process automation can be incorporated into a traditional audit plan. Accounting firms are increasingly expecting entry level hires to possess a basic understanding of advanced data analytics tools and an ability to apply data concepts to an audit to improve both audit efficiency and quality. The course will help students identify audit risks related to financial statement balances, perform audit testing using analytical procedures, and interpret results of data-driven procedures to demonstrate audit concepts. In this class you will work extensively with Microsoft Excel, Alteryx, and UiPath. The usage of these tools, as well as an understanding of data fundamentals will aid you in upper-level classes and ultimately improve your technology skills and career prospects. prereq: ACCT 5121 (can be concurrent)

View on University Catalog

All Instructors

A- Average (3.530)Most Common: A- (35%)

This total also includes data from semesters with unknown instructors.

51 students
FDCBA


  • Samyok Nepal

    Website/Infrastructure Lead

  • Kanishk Kacholia

    Backend/Data Lead

  • Joey McIndoo

    Feature Engineering

Contribute on our Github

Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2024 provided by the Office of Institutional Data and Research

Privacy Policy