Base Knowledge
There are no prerequisites to attend this Course.
Teaching Methodologies
In this module, active student-centred teaching methodologies are favoured, aiming to promote problem-solving maturity and critical thinking in this area. Thus, the following teaching and learning methodologies are utilised:
– Expository, in terms of concepts, definitions, and work tools;
– Active and participatory, associated with the study and resolution of practical cases for the detection of anomalies and fraud, as well as in group work and in reaching consensus on the best practices to employ in solving various practical cases;
– Experimental, as the use of tools and technology in the classroom is emphasised for solving practical exercises and for completing assignments;
– Self-study, related to the autonomous work component, very prevalent in second-cycle studies, which should be encouraged so that students are adequately prepared for the second year of the master’s programme.
The content associated with emerging technologies will be taught through application cases and research in the area, with guest speakers explaining the application of these technologies in their businesses.
Learning Results
A. Objectives
– Acquisition of knowledge of CAATTs, Computer-Assisted Audit Tools and Techniques and fundamental practical skills concerning the role the auditor plays, particularly in detecting anomalies using data analysis and extraction tools for conducting substantive tests;
– Expand the range of knowledge of Computer Tools Supporting Auditing by promoting the organisation of Seminars with companies providing specific Software for Auditing;
– Understand the new trends in Technologies and Tools for auditing, particularly regarding the use of emerging technologies for auditing: Artificial Intelligence, Internet of Things, Cloud and Blockchain, practical use cases and research in the field.
B. Competencies:
– Students should become capable of using tools and technologies for auditing, allowing for greater efficiency and effectiveness in the auditor’s work.
Program
1. Information Systems (IS) in Auditing (Isabel Pedrosa)
1.1. Notion of IS: generic aspects of an Information system (definition, basic elements)
1.2. Evolution of IS
1.3. Applicability of IS in Organizations
1.4. The importance of Information in Auditing: information versus knowledge.
1.5. New challenges for the auditor
2. Computer Tools for Audit Support (Isabel Pedrosa)
2.1 Definition and applicability of Computer-Assisted Audit Tools and Techniques, CAATTs
2.2 Type of CAATTs
2.3 Tools for the Management of Audit Work Papers
2.4 Tools for data analysis and extraction
2.5 IDEA: contextualization of the application
2.6 Case Studies using IDEA:
3. Emerging Technologies for Auditing
3.1 Concepts
3.2 Robotic Process Automation
3.3 Artificial Intelligence and Genative Artificial Intelligence for auditing
3.4 Cloud Auditing
3.5 Big Data and Data Mining
3.6 Blockchain
Curricular Unit Teachers
Isabel Maria Mendes PedrosaInternship(s)
NAO
Bibliography
Fundamental:
- ACFE (2024), Report to the Nations on Occupational Fraud and Abuse.
- ACFE (2024), Anti-Fraud Technology Benchmarking Report
- Gee, Sunder (2015). Fraud and fraud detection: a data analytics approach, Wiley corporate F&A series.
- Nigrini, M. J. (2020). Forensic Analytics: Methods and Techniques for Forensic Accounting Investigations, 2nd Edition. Wiley
Additional:
- Baesens, Bart ; Van Vlasselaer, Veronique; & Verbeke, Wouter (2015). Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques, John Wiley & Sons, Inc.
- Aghili, Shaun (2019). Fraud Auditing Using CAATT: A Manual for Auditors and Forensic Accountants to Detect Organizational Fraud (Internal Audit and IT Audit), Auerbach Publications
PARTNERS
Coimbra Business School – ISCAC has a partnership with Caseware Internacional that provides students with an educational version od the Caseware IDEA (it includes the license and a Manual).