IY3D609 - Digital Forensic Techniques 01 Jul 2022 - 31 Aug 2028 | Version 1
Associated Module Information
| Module Code: | IY3D609 | ||
|---|---|---|---|
| Module Title: | Digital Forensic Techniques | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Cyber Security | ||
| Faculty Sub Group: | Cyber Security | ||
| Module Leader: | Beth Jenkins | ||
| Module Team: | Emma Derbi, Sharan Johnstone, Joshua Richards, Andrew Bellamy, Peter Eden, Mamoun Qasem, Richard Ward, Rachael Medhurst, Arun Kumar, Madhu Khurana, Nisha Rawindaran, Amar Seeam | ||
| First Intended Intake: | SEP 2022 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 40 | Credit Level: | 6 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100385 - computer forensics | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Jul 2022 |
| Valid To | 31 Aug 2028 |
Module Aims
Develop advanced practical and theoretical principles regarding Digital Forensics on a variety of devices and sources?and be able to evaluate, analyse and apply investigative solutions on a range of sources and devices.
Content Summary
Introduction into the module and Recap on crime scene/forensic software/Drive Geometry.
OS Artefacts – Windows Registry, link files/prefetch/shellbags/jumplists?etc.
MAC & Windows Forensics
Encryption/password cracking, RAM forensics, Cloud Forensics.
Anti-Forensics & OSINT
Introduction Mobile Phone Forensics/Expert Witness Statements/Court Rooms
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 16 |
| Tutorial | 16 |
| Practical classes and workshops | 40 |
| Independent Study | 140 |
| Directed Study | 110 |
| Formative Assessment - Scheduled | 4 |
| Active/Simulation Based | 16 |
| Groupwork | 12 |
| Interdisciplinary work | 6 |
| Problem / challenge based learning | 40 |
| Total Hours Selected | 400 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Demonstrate advanced knowledge and skills in digital forensic concepts concentrating on the analysis, interpretation, and extraction of digital evidence. |
| LO2 | Conduct a sophisticated analytic investigation on different data sources using appropriate tools and techniques. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Student Choice 1 | Mac Forensics , Students are offered the choice of either a 1500 word written report or a 10 minute VLOG submission based on the specified topic. The criteria are the same whichever type of assessment the student chooses. One mark is awarded. | 10 | 1500 | 30 | No | 40 |
| Asynchronous Assessment | Practical Coursework 1 (Asynch) | Exercises undertaken in laboratory aimed at assessing the application of knowledge, analytical, problem solving or evaluate skills of a digital forensic investigation. | 0 | 3000 | 70 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Student Choice 1 | ✔ | ✔ | |
| Practical Coursework 1 (Asynch) | ✔ | ✔ | |