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Language of instruction
English
Teaching content
QUANTITATIVE METHODS
This course occurs in the following program(s)
MSc in Accounting, Audit & Control
- Crédits ECTS: 2.00
Training officer(s)
AE.NAOUN
Stakeholder(s)
AE.NAOUN
Présentation
Prerequisite
- General IT knowledge
- Descriptive statistics and econometrics
- Accounting basis
- Descriptive statistics and econometrics
- Accounting basis
Goal
Perceive a global IT audit framework
- Realise a preliminary evaluation of risks related to an information system, and assess the risks related to the systems security, the systems adaptability, the activity continuation plan and management of accesses.
- Evaluate the coverage of the risks related to an information system by the appropriate criteria;
- Prepare the right recommendations to be implemented from the identified risks;
- Reproduce an IT audit interview in a real business context.
Identify advanced data analytics techniques through real-life examples (clustering, link analysis, tag cloud and text mining, etc.). The participant should be able to distinguish the main steps in a forensics data analytics approach and suggest the right utilisation for the right situation
- Define the right questions starting from the available data;
- Collect and pre-process data;
- Review models estimations and interpretation.
The students should also be able to use some basic methods packaged in data analytics software’s like R
- Realise a preliminary evaluation of risks related to an information system, and assess the risks related to the systems security, the systems adaptability, the activity continuation plan and management of accesses.
- Evaluate the coverage of the risks related to an information system by the appropriate criteria;
- Prepare the right recommendations to be implemented from the identified risks;
- Reproduce an IT audit interview in a real business context.
Identify advanced data analytics techniques through real-life examples (clustering, link analysis, tag cloud and text mining, etc.). The participant should be able to distinguish the main steps in a forensics data analytics approach and suggest the right utilisation for the right situation
- Define the right questions starting from the available data;
- Collect and pre-process data;
- Review models estimations and interpretation.
The students should also be able to use some basic methods packaged in data analytics software’s like R
Modalités
Organization
| Type | Amount of time | Comment | |
|---|---|---|---|
| Présentiel | |||
| Cours interactif | 16,00 | ||
| Autoformation | |||
| E-Learning | 8,00 | ||
| Travail personnel | |||
| Individual Project | 12,00 | ||
| Charge de travail personnel indicative | 12,00 | ||
| Overall student workload | 48,00 | ||
Evaluation
Participation during the interactive sessions, a case study, a personnal project and a written final exam.
| Control type | Duration | Amount | Weighting |
|---|---|---|---|
| Contrôle continu | |||
| Participation | 12,00 | 1 | 15,00 |
| Examen (final) | |||
| Examen écrit | 2,00 | 1 | 50,00 |
| Autres | |||
| Etude de cas | 4,00 | 1 | 20,00 |
| Projet Individuel | 0,00 | 1 | 15,00 |
| TOTAL | 100,00 | ||
Ressources
Bibliography
COBIT (Control Objectives for Information and Related Technologies) -
ISACA Journal -
IT Governance: How Top Performers Manage IT for Superior Results, Harvard Business School Press, 2004 -
ISACA Journal -
IT Governance: How Top Performers Manage IT for Superior Results, Harvard Business School Press, 2004 -
Internet resources