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Session: 2022/23
Last modified: 05/11/2021 14:10:34
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Title of Module: macOS Forensic Analysis |
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Code: COMP11088 |
SCQF Level: 11
(Scottish Credit and Qualifications Framework) |
Credit Points: 10 |
ECTS: 5
(European Credit Transfer Scheme) |
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| School: | School of Computing, Engineering and Physical Sciences |
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| Module Co-ordinator: | Sean
Sturley |
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| Summary of Module |
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The module aims to furnish students with the specialised understanding, con dence and practical skills required to conduct digital forensic analysis in the macOS environment. The module will examine macOS fundamentals (analyse and parse the Hierarchical File System and the underlying/specific data structures and file types) together with the techniques for the identification, extraction, decoding and interpretation of forensic artefacts specific to the macOS environment. Students will apply the knowledge in practical exercises and case studies to reinforce understanding.
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| Module Delivery Method |
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| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
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| Term(s) for Module Delivery |
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(Provided viable student numbers permit).
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| Term 1 | | Term 2 | | Term 3 | |
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| Learning Outcomes: (maximum of 5 statements) |
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On successful completion of this module the student will be able to:
L1.
Demonstrate a critical understanding of the specialised theories, concepts and principles of the underlying data structures and the forensic artefacts specific to macOS.
L2.
Apply knowledge, skills and understanding in using the principal skills, techniques, practices required to construct and undertake an appropriate forensic analysis of a macOS based device whilst preserving evidential integrity.
L3.
Analyse and critically evaluate macOS digital forensics artefacts at various levels of abstraction, including those related to partitioning, file systems and the OS. |
| Employability Skills and Personal Development Planning (PDP) Skills |
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| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
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| Knowledge and Understanding (K and U) |
SCQF Level 11.
Students will learn systematic and comprehensive knowledge of mac OS Forensics. Students are expected to be familiar with the key technologies and techniques and their application in practice. |
| Practice: Applied Knowledge and Understanding |
SCQF Level 11.
Students will gain in-depth, comprehensive understanding and critical awareness of knowledge of mac OS Forensics, and apply this in planning, implementing, capture and analysis of mac OS Forensic data. They will also develop capability to apply a range of standard and specialised research skills, tools/software, development kit and related techniques in response to application requirements for their written assignment and lab tasks. |
| Generic Cognitive skills |
SCQF Level 11.
To complete their written reports and laboratory tasks, students will first build skills to integrate information and apply knowledge from various sources including technology advances informed by research and industry. |
| Communication, ICT and Numeracy Skills |
SCQF Level 11.
Working in interacting groups, students will develop communication skills as well as the ability to write technical reports and documentation. |
| Autonomy, Accountability and Working with others |
SCQF Level 11.
Each student will generate a comprehensive report summarising his/her finding for a given scenario. |
| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
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Module Code:
| Module Title:
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| Other: | |
| Co-requisites | Module Code:
| Module Title:
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* Indicates that module descriptor is not published.
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| Learning and Teaching |
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An emphasis is placed on active learning, taking place through a collection of complementary mechanisms. Topics will be introduced in lectures and discussed through problem based
learning activities and associated practical sessions. Theoretical material will be re-enforced and consolidated through the critical analysis and discussion of case studies in tutorials designed to explain and elaborate both on theoretical and laboratory content and provide examples of current practice, approaches and challenges as portrayed by practitioners across various industry sectors.
Students are guided through real-world scenarios featuring structured inquiry based learning. Additionally directed learning will reinforce essential theory and place understanding into context.
In addition, students will adopt an independent learning style, acquiring and applying knowledge through their own enquiry and professional practise. Students will be encouraged to engage in active peer-assisted learning enabling students to reflectively discuss their experiences in practise. |
Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Lecture/Core Content Delivery | 10 |
| Tutorial/Synchronous Support Activity | 5 |
| Laboratory/Practical Demonstration/Workshop | 20 |
| Independent Study | 65 |
| 100
Hours Total
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**Indicative Resources: (eg. Core text, journals, internet
access)
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The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Butow, E. (2018) Pro iOS Security and Forensics: Enterprise iPhone and iPad Safety. Apress.
Hayes, D.R. (2014) A Practical Guide to Computer Forensics Investigations. Pearson IT Certification.
Altheide, C and Carvey, H. (2011) Digital Forensics with Open Source Tools. Syngress.
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(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
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| Engagement Requirements |
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In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
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Supplemental Information
| Programme Board | Computing |
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| Assessment Results (Pass/Fail) |
No
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| Subject Panel | Business & Applied Computing |
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| Moderator | Graham Parsonage |
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| External Examiner | TBC |
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| Accreditation Details | |
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| Version Number | 1.03 |
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| Assessment: (also refer to Assessment Outcomes Grids below) |
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| Coursework (100%) |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
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Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
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Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
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Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
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| Equality and Diversity |
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This module is suitable for any student. The assessment regime will be applied flexibly so that a student who can attain the practical outcomes of the module will not be disadvantaged. When a student discloses a disability, or if a tutor is concerned about a student, the tutor in consultation with the School Enabling Support co-ordinator will agree the appropriate adjustments to be made.
UWS Equality and Diversity Policy |
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(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
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