STAA syllabus Summer 2016.doc

STAA syllabus Summer 2016.doc - 22:010:690 Special Topics...

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22:010:690 Special Topics in Audit Analytics Instructor: Jamie Freiman Summer, 2016 Online 1 Washington Park, 1115D Access course material each week Email: [email protected] Rutgers Canvas Online learning center ( ) COURSE DESCRIPTION This is the second course of Certificate in Audit Analytics, which serves the purpose of further improving students’ analytic skills and promoting changes in the profession towards a modern audit. The certificate program is introduced by Rutgers Business School in conjunction with its Professional Accounting Program. This program can fulfill a dual purpose. Professional Accounting students may specialize in the area taking these courses as electives, while non-matriculated students may take the four-course certificate independently. The course consists two parts: methodology and practice. The first part of the course is intended to develop students’ understanding of statistical inference. Students will learn how to apply some basic statistical models to the auditing problems, how to interpret the results, and troubleshoot some common problems. The second part of the course covers some specialized audit analytic techniques such as visualization, neural networks, and text mining. There is a renewed focus on audit quality in the CPA profession. The PCAOB regulatory regime, the formation of the Center for Audit Quality (CAQ), initiatives at major firms, and other indicators attest to this. The profession is more focused on more effective audit methodologies than it has been for decades. The development of new methodologies needs to be preceded by basic and applied research that establishes a sound theoretical foundation and demonstrates that they will work. The need for such research represents an opportunity for universities to work with audit firms, software vendors and others. The objective of the course is to teach students audit analytic techniques and how to apply them in practice. COURSE MATERIALS I don’t assign any specific textbook to this course. All the lectures will have a set of slides associated to it and some of them have corresponding videos. You will be able to see the slides and videos gradually at the beginning of each week on e-college. Teaching materials will be drawn from many sources including the Internet, professional articles, academic articles and books. The WWW is the Universal Library. Part of the learning process of this course is to understand how to mine this resource and combine it with more traditional sources. Make sure that you reference the materials you draw from the Internet, or from other sources.
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  • Winter '09
  • UNK
  • audit analytics, Yunsen Wang, audit analytic techniques

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