IY0S304 - Introduction to Digital Forensics and Computer Security 01 Sep 2024 - 31 Aug 2029 | Version 1
Associated Module Information
| Module Code: | IY0S304 | ||
|---|---|---|---|
| Module Title: | Introduction to Digital Forensics and Computer Security | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Computing and Mathematics | ||
| Faculty Sub Group: | Cyber Security | ||
| Module Leader: | Andrew Bellamy, Richard Harding | ||
| Module Team: | Richard Ward, Andrew Bellamy, Rachael Medhurst, Joshua Richards, Peter Eden, Sharan Johnstone, Madhu Khurana, Emma Derbi, Beth Jenkins, Arun Kumar, Mamoun Qasem, Nisha Rawindaran | ||
| First Intended Intake: | SEP 2024 | Final Year of Intake: | 2028 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 3 |
| 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 Sep 2024 |
| Valid To | 31 Aug 2029 |
Module Aims
To provide knowledge and understanding of the fundamental concepts surrounding digital forensics and computer security.
Content Summary
Fundamentals of digital forensics
Digital forensic models
Securing and encrypting data
Fundamentals of information security and cyber laws
Current cyber threats and methods to alleviate them
Future challenges for cyber
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Practical classes and workshops | 44 |
| Independent Study | 72 |
| Directed Study | 72 |
| Formative Assessment - Independent | 2 |
| Problem / challenge based learning | 10 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | The ability to explain the fundamental principles surrounding digital forensics and computer security. |
| LO2 | To translate fundamental cyber security knowledge into an academically approved format. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Student Choice 2 | Project. | 10 | 1200 | 50 | No | 40 |
| Asynchronous Assessment | Student Choice 1 | Project. | 10 | 1200 | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Student Choice 2 | ✔ | ✔ | |
| Student Choice 1 | ✔ | ✔ | |