IY2S601 - Digital Forensics (eCrime) 01 Jul 2022 - 31 Aug 2028 | Version 3

Associated Module Information

Module Code: IY2S601
Module Title: Digital Forensics (eCrime)
Faculty: Faculty of Computing, Engineering and Science
Faculty Group: Cyber Security
Faculty Sub Group: Cyber Security
Module Leader: Beth Jenkins
Module Team: Peter Eden, Christopher Tubb, Mamoun Qasem, Nisha Rawindaran, Rachael Medhurst, Arun Kumar, Richard Ward, Joshua Richards, Emma Derbi, Madhu Khurana, Christopher Manley, Andrew Bellamy, Sharan Johnstone, Chelsea Cooper, Amala Neahamiah, James McCormack, Aaron Wall, Hannah Seale
First Intended Intake: SEP 2016 Final Year of Intake: 2027
Date Closed:
Credit Value: 20 Credit Level: 5
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100385 - computer forensics
HECOS Code Weighting: 100

Document Version Information

Version 3
Valid From 01 Jul 2022
Valid To 31 Aug 2028

Module Aims

1. To provide knowledge of the tools and techniques associated with computer forensics.

2. To develop the students ability to apply computer forensics principles to a range of problems

Content Summary

Introduction to Digital Forensic Principles and Phases

Computing Professionals and the Law:

  1. Association of Chief Police Officers Good Practice Guide on Digital Evidence (ACPO):
  2. Legal and procedural elements that validate and maintain evidential integrity.

Digital Crimes

  1. Cybercriminal activity
  2. Threat Actors

Evidential Management

  1. Understanding and validating the chain of custody from seizure to the court room
  2. Expert Witness Report Writing

Computer Forensic Tools:

  1. Device imaging and case creation/validation
  2. Exhibit identification and analysis.
  3. Digital forensics analysis tools
  4. Introduction to password recovery
  5. Introduction to hiding techniques and forensic recovery
  6. Data recovery and carving techniques

Learning and Teaching Methods

Activity Type Hours
Lecture 24
Tutorial 24
Independent Study 80
Directed Study 72
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 To identify, analyse and extract a wide range of computer forensic artefacts found in common operating systems and file systems.
LO2 To demonstrate the correct usage and the features of a standard forensic analysis tool.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Report 1 A written report that draws on knowledge and material from the module or course. 0 2000 50 No 40
Asynchronous Assessment Practical Written Work 1 A write up of a piece of practical work that has been undertaken. 0 2000 50 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Report 1
Practical Written Work 1

Reading List

https://rl.talis.com/3/southwales/lists/3B08140B-54E0-CEE8-FFF8-2419CF06983A.html?lang=en&login=1