Week
|
Topics
|
Study Metarials
|
1
|
Financial audit and accounting scandals
|
R1: Pages 7-23
|
2
|
The concept and types of fraud
|
R1: Pages 24-54
|
3
|
Financial statement fraud and types
|
R1: Pages 59-82
|
4
|
Red flags in fraudulent financial reporting
|
R1: Pages 83-100
|
5
|
Fraud audit and auditors` responsibilities
|
R1: Pages 101-124
|
6
|
Fraud risk assessment
|
R1: Pages 125-127
|
7
|
Company culture and ethical values in preventing fraud
|
R1: Pages 128-136
|
8
|
Audit committee and internal control system in fraud prevention
|
R1: Pages 137-154
|
9
|
Traditional methods of detecting fraudulent financial reporting
|
R1: Pages 155-163
|
10
|
Benford`s law and the use of the related amount factor in detecting fraudulent financial reporting
|
R1: Pages 163-168
|
11
|
Use of data mining and artificial intelligence algorithms in detecting fraudulent financial reporting
|
R1: Pages 169-187
|
12
|
Use of financial failure estimation methods in detecting fraudulent financial reporting
|
R1: Pages 191-197
|
13
|
Use of regression and other models to detect fraudulent financial reporting
|
R1: Pages 198-202
|
14
|
Examination of research conducted to detect fraudulent financial reporting
|
R1: Pages 203-237
|