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FOR3705 Assignment 1 (ANSWERS) Semester 1 2026 - DISTINCTION GUARANTEED

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Comprehensively structured FOR3705 Assignment 1 (ANSWERS) Semester 1 2026 - DISTINCTION GUARANTEED. Prepared to a distinction standard with detailed and well-developed responses.... ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 01 SEMESTER 1 2026 QUESTION 1 1.1 Analyse the relationship between data mining and data analysis in financial crime investigation. (5) 1.2 Assess how these two processes complement each other in detecting financial crimes. (5) [10] QUESTION 2 2.1 Compare public and non-public sources of information in financial crime investigation. (4) 2.2 Explore three relevant examples of each type of source and argue their significance in financial crime investigation. (6) [10] QUESTION 3 3.1 Evaluate five key advantages of using data analysis software in financial crime investigation. (5) 3.2 Support your answer by generating one practical example for each key advantage. (5) [10] QUESTION 4 Distinguish the four main phases of the data analysis process and interpret their importance in ensuring accurate financial crime investigation results. [8] QUESTION 5 Demonstrate how undercover operations and surveillance operations can be effectively utilised in financial crime investigation. [6] ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 02 SEMESTER 1 2026 2 QUESTION 5Explain what is meant by ‘data mining’ and discuss how data mining tools are used to identify patterns and indicators of fraud in large datasets. [5] QUESTION 6 Differentiate between the two primary approaches to net-worth analysis when examining an individual’s income sources. [5] QUESTION 7 Analyse the purpose and key components of a financial profile in the context of a net-worth analysis used to detect fraud. [10] QUESTION 8 Critically evaluate the key steps involved in the data analysis process for detecting fraud and justify their relevance in ensuring meaningful and accurate results. Compare the asset method and the expenditures method as indirect approaches used to establish a subject’s sources of income, with reference to how each method demonstrates the presence of illicit or unreported income. [30] 1. Your answer must be in an essay-type format. 2. Your answer must not exceed 900 words. 3. Do not copy verbatim from the prescribed book; a maximum of 40% for this question will be awarded in such an event. You are required to discuss this topic in your own ionship between data mining and data analysis in financial crime investigation. (5) 1.2 Assess how these two processes complement each other in detecting financial crimes. (5) [10] QUESTION 2 2.1 Compare public and non-public sources of information in financial crime investigation. Differentiate between public and non-public sources of information and explain their respective roles and limitations in financial crime investigations. (4) 2.2 Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. (6) [10] QUESTION 3 3.1 Evaluate five key advantages of using data analysis software in financial crime investigation. Discuss the circumstances under which the asset method and the expenditures method would be most appropriately applied in a financial crime investigation. (5) 3.2 Explain what is meant by ‘data mining’ and discuss how data mining tools are used to identify patterns and indicators of fraud in large datasets.. (5) [10] QUESTION 4 Distinguish the four main phases of the data analysis process and interpret their importance in ensuring accurate financial crime investigation results. [8] QUESTION 5 Demonstrate how undercover operations and surveillance operations can be effectively utilised in financial crime investigation. Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. [6] Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 02 SEMESTER 1 2026 2 QUESTION 5 Explain how the ‘net-worth method’ can be used to assist in proving that fraud may have taken place. [5] QUESTION 6 Differentiate between the two primary approaches to net-worth analysis when examining an individual’s income sources. [5] QUESTION 7 Analyse the purpose and key components of a financial profile in the context of a net-worth analysis used to detect fraud. Four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. [10] QUESTION 8 Discuss each of the identified advantages, indicating how the use of data analysis software enhances the effectiveness of fraud investigations Discuss each of the identified advantages, indicating how the use of data analysis software enhances the effectiveness of fraud investigations Critically evaluate the key steps involved in the data analysis process for detecting fraud and justify their relevance in ensuring meaningful and accurate results. [30] 1. Your answer must be in an essay-type format. 2. Your answer must not exceed 900 words. 3. Do not copy verbatim from the prescribed book; a maximum of 40% for this question will be awarded in such an event. You are required to discuss this topic in your own words. Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. ASSESSMENT 01 SEMESTER 1 2024 QUESTION Differentiate between public and non-public sources of information and explain their respective roles and limitations in financial crime investigations. (6) Discuss two examples of public sources and two examples of non-public sources of information and justify their relevance and significance in financial crime investigations. (4) [ DVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 01 SEMESTER 1 2026 QUESTION 1 1.1 Analyse the relationship between data mining and data analysis in financial crime investigation. (5) 1.2 Assess how these two processes complement each other in detecting financial crimes. (5) [10] QUESTION 2 2.1 Compare public and non-public sources of information in financial crime investigation. (4) 2.2 Explore three relevant examples of each type of source and argue their significance in financial crime investigation. (6) [10] QUESTION 3 3.1 Evaluate five key advantages of using data analysis software in financial crime investigation. (5) 3.2 Support your answer by generating one practical example for each key advantage. (5) [10] QUESTION 4 Distinguish the four main phases of the data analysis process and interpret their importance in ensuring accurate financial crime investigation results. [8] QUESTION 5 Demonstrate how undercover operations and surveillance operations can be effectively utilised in financial crime investigation. [6] ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 02 SEMESTER 1 2026 2 QUESTION 5Explain what is meant by ‘data mining’ and discuss how data mining tools are used to identify patterns and indicators of fraud in large datasets. [5] QUESTION 6 Differentiate between the two primary approaches to net-worth analysis when examining an individual’s income sources. [5] QUESTION 7 Explain what is meant by ‘data mining’ and discuss how data mining tools are used to identify patterns and indicators of fraud in large datasets. Analyse the purpose and key components of a financial profile in the context of a net-worth analysis used to detect fraud. [10] QUESTION 8 Critically evaluate the key steps involved in the data analysis process for detecting fraud and justify their relevance in ensuring meaningful and accurate results. Compare the asset method and the expenditures method as indirect approaches used to establish a subject’s sources of income, with reference to how each method demonstrates the presence of illicit or unreported income. [30] 1. Your answer must be in an essay-type format. 2. Your answer must not exceed 900 words. 3. Do not copy verbatim from the prescribed book; a maximum of 40% for this question will be awarded in such an event. You are required to discuss this topic in your own ionship between data mining and data analysis in financial crime investigation. (5) 1.2 Assess how these two processes complement each other in detecting financial crimes. (5) [10] QUESTION 2 2.1 Compare public and non-public sources of information in financial crime investigation. Differentiate between public and non-public sources of information and explain their respective roles and limitations in financial crime investigations. (4) 2.2 Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. (6) [10] QUESTION 3 3.1 Evaluate five key advantages of using data analysis software in financial crime investigation. Discuss the circumstances under which the asset method and the expenditures method would be most appropriately applied in a financial crime investigation. (5) 3.2 Explain what is meant by ‘data mining’ and discuss how data mining tools are used to identify patterns and indicators of fraud in large datasets.. Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. Discuss each of the identified advantages, indicating how the use of data analysis software enhances the effectiveness of fraud investigations (5) [10] QUESTION 4 Distinguish the four main phases of the data analysis process and interpret their importance in ensuring accurate financial crime investigation results. [8] QUESTION 5 Demonstrate how undercover operations and surveillance operations can be effectively utilised in financial crime investigation. Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. [6] Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. ADVANCED FORENSIC CRIME INTELLIGENCE FOR3705 ASSESSMENT 02 SEMESTER 1 2026 2 QUESTION 5 Explain how the ‘net-worth method’ can be used to assist in proving that fraud may have taken place. Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. [ Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. [ [5] QUESTION 6 Differentiate between the two primary approaches to net-worth analysis when examining an individual’s income sources. [5] QUESTION 7 Analyse the purpose and key components of a financial profile in the context of a net-worth analysis used to detect fraud. Four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. Identify four significant advantages of using data analysis software in fraud investigations that may assist investigators in obtaining evidence that fraud has been committed. [10] QUESTION 8 Discuss each of the identified advantages, indicating how the use of data analysis software enhances the effectiveness of fraud investigations Discuss each of the identified advantages, indicating how the use of data analysis software enhances the effectiveness of fraud investigations Critically evaluate the key steps involved in the data analysis process for detecting fraud and justify their relevance in ensuring meaningful and accurate results. [30] Discuss two examples of public sources and two examples of non-public sources of information and justify their relevance and significance in financial crime investigations. Compare the asset method and the expenditures method as indirect approaches used to establish a subject’s sources of income, with reference to how each method demonstrates the presence of illicit or unreported income1. Your answer must be in an essay-type format. 2. Your answer must not exceed 900 words. 3. Do not copy verbatim from the prescribed book; a maximum of 40% for this question will be awarded in such an event. You are required to discuss this topic in your own words. Differentiate between the four main phases of the data analysis process used in financial crime investigations and discuss the significance of each phase in contributing to reliable and accurate investigation outcomes. ASSESSMENT 01 SEMESTER 1 2024 QUESTION Differentiate between public and non-public sources of information and explain their respective roles and limitations in financial crime investigations. (6) Discuss two examples of public sources and two examples of non-public sources of information and justify their relevance and significance in financial crime investigations. (4) [

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2025/2026
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FOR3705
Assignment 1 Semester 1 2026
Unique number:
Due Date: March 2026
QUESTION 1

Data Mining and Its Role in Fraud Investigations

Data mining refers to the systematic process of examining large volumes of electronic data
in order to identify patterns, trends, anomalies or relationships that may indicate fraudulent
activity. In a fraud investigation context, data mining is used to move beyond manual review
and instead apply technology driven techniques to uncover hidden indicators of fraud that
may not be immediately visible.

Data mining tools analyse large datasets such as accounting records, transaction logs,
payroll files, supplier databases and customer information. These tools search for unusual
patterns, including duplicate payments, round number transactions, transactions just below
approval limits, abnormal timing of transactions, or relationships between employees and
vendors. For example, data mining can identify situations where the same bank account
number appears for multiple suppliers or where an employee frequently overrides internal
controls.

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