IY4S735 - Mobile Device Forensics 01 Jul 2022 - 31 Aug 2028 | Version 1
Associated Module Information
| Module Code: | IY4S735 | ||
|---|---|---|---|
| Module Title: | Mobile Device Forensics | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Cyber Security | ||
| Faculty Sub Group: | Cyber Security | ||
| Module Leader: | Rachael Medhurst | ||
| Module Team: | Sharan Johnstone, Andrew Bellamy, Mamoun Qasem, Nisha Rawindaran, Arun Kumar, Beth Jenkins, Richard Ward, Peter Eden, Joshua Richards, Emma Derbi, Madhu Khurana, Christopher Manley, Christopher Tubb, Chelsea Cooper | ||
| First Intended Intake: | SEP 2022 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100376 - computer and information security | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Jul 2022 |
| Valid To | 31 Aug 2028 |
Module Aims
To evaluate, analyse and synthesise investigative solutions for mobile Device devices.
Content Summary
Introduction to Mobile Device Forensics - Mobile Devices at Crime Scenes – Challenges of live Forensics
Android - Pre-imaging/Imaging/Acquisition (Magnet ACQUIRE/Process)
Android - Introduction to Mobile Device Forensic Techniques (Magnet Examine/App Simulator)
Android - Further Mobile Device Forensic Techniques (Application Techniques)
Apple – Pre-imaging/Imaging/Acquisition (Magnet ACQUIRE/Process) & Introduction into Chip off Forensics and JTAGGING.
Apple – Introduction to Mobile Device Forensic Techniques (Magnet Examine/App Simulator)
Apple – Further Mobile Device Forensic Techniques (Application Techniques)
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 12 |
| Tutorial | 12 |
| Practical classes and workshops | 24 |
| Independent Study | 50 |
| Directed Study | 72 |
| Formative Assessment - Scheduled | 2 |
| Active/Simulation Based | 4 |
| Groupwork | 4 |
| Problem / challenge based learning | 20 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | To critically evaluate at an advanced level a detailed understanding of mobile device forensic techniques concentrating on the analysis, interpretation, and extraction of such digital evidence. |
| LO2 | To critically evaluate at an advanced level the ability to investigate mobile device devices and the challenges posed. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Practical Written Work 1 | Report | 0 | 4000 | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Written Work 1 | ✔ | ✔ | |