CANKIRI KARATEKIN UNIVERSITY Bologna Information System


  • Course Information
  • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Fraudulent Financial Reporting İŞL553 FALL-SPRING 3+0 E 8
    Learning Outcomes
    1-Defines financial statement fraud
    2-Determines the methods to be used in the detection and prevention of financial statement frauds
    3-Applies these methods in the detection and prevention of financial statement frauds
    4-Evaluates by interpreting the findings obtained by applying the methods and solving the fraud problem
  • ECTS / WORKLOAD
  • ActivityPercentage

    (100)

    NumberTime (Hours)Total Workload (hours)
    Course Duration (Weeks x Course Hours)14342
    Classroom study (Pre-study, practice)14114
    Assignments2014040
    Short-Term Exams (exam + preparation) 1023060
    Midterm exams (exam + preparation)3014040
    Project0000
    Laboratory 0000
    Final exam (exam + preparation) 4015050
    0000
    Total Workload (hours)   246
    Total Workload (hours) / 30 (s)     8,2 ---- (8)
    ECTS Credit   8
  • Course Content
  • 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
    Prerequisites -
    Language of Instruction Turkish
    Responsible Serkan Terzi
    Instructors -
    Assistants -
    Resources R1: Terzi, S. (2012). Hileli finansal raporlama: önleme ve tespit. Beta yayınları.
    Supplementary Book SR1. Zengin, S. (2018). Finansal tablo hileleri ve BOBİ FRS kapsamında örnek uygulamalar. Seçkin yayınları.
    Goals To enable the student to think analytically and detect financial statement fraud, to apply methods to prevent fraud, to find a suitable solution for the solution of the problem and to interpret the findings obtained.
    Content Concepts of fraud, types of financial statement fraud, detection methods of financial statement fraud, prevention of financial statement fraud.
  • Program Learning Outcomes
  • Program Learning Outcomes Level of Contribution
    1 Can integrate the knowledge of their undergraduate study and business skills, and use them together 5
    2 Can use their management skills in various areas 2
    3 Can manage peer, superior and subordinate relationships 2
    4 Are equipped with up-to-date conceptual and applied knowledge of their field of study 5
    5 Can identify and understand problems of business administration 3
    6 Can devise solutions to organizational or business problems using conceptual, applied, and methodological skills acquired during Programme experience 3
    7 Can communicate effectively with expert and non-expert audiences regarding business problems and solutions to them -
    8 Can independently learn more and expand already acquired skills by applying them to new circumstances 3
    9 Can lead others as they deal with business problems and help them acquire new skills and knowledge -
    10 Are computer literate, can effectively use word processing, spreadsheet, and data management software -
    11 Are ethically aware, know how business decisions affect those not directly involved in making of these decisions. -
    12 Are knowledgeable about laws, rules, and moral codes that apply to their field of work. 3
    13 Are open-minded, willing to fight discrimination of all kinds in workplaces and business environment 5
    14 Are knowledgeable about fundamental environmental and social issues -
    15 Know how management topics are related to globalization -
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