Module Title:Computer Forensics
Language of Instruction:English
Credits: 10
NFQ Level:8
Module Delivered In No Programmes
Teaching & Learning Strategies: Learners will develop understanding and practical skills through lectures, labs and practical workshops. Delivery of theoretical content will promote active engagement and discussion, providing a positive learning experience. Labs and practical workshops will be used extensively to enable learners to apply knowledge and skills to real world problems, enhancing learner engagement.
Module Aim: To provide learners with a high level of expertise in the forensic analysis of computer systems and acquisition of data as part of a forensic investigation.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Summarise the steps involved in a computer forensic examination.
LO2 Synthesise forensic analysis of computer systems and data storage devices.
LO3 Securely acquire data and preserve the integrity of data from a range of sources.
LO4 Analyse and present findings from an electronic discovery process.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
Learners should have good knowledge of Operating Systems and be comfortable working in a command line environment (Linux and Windows).
 

Module Content & Assessment

Indicative Content
Forensic Science
Areas and domains of forensic science. The role of computer forensics and incident response process. The principles of computer based electronic evidence, control of a crime scene.
Ethics
Ethical responsibilities of studying computer forensics, data and computer law. New developments in digital crimes based on the latest technology. Professional guidelines, best practice and policies.
File Systems
Detailed analysis of common file systems including FAT family, NTFS, exFAT, ext2, ext3, ext4 and HFS (Mac). Disk structures (traditional and SSD), inodes, metadata and analysis of Windows Registry.
Acquiring Forensic Evidence
Investigative plans and forensic workstations set up for investigation. Quality assured processes for retrieving potential evidence. Electronic discovery process and IT forensic support.
Data Acquisition
Tools and techniques available to acquire data on computer systems. Full volume images, partial volume images and image capture tools. Recovering deleted data, erased data and volatile data.
Network and Internet Forensics
Using network logs to collect evidence of a network intrusion incident or a crime. Internet browser forensics and email forensic investigations, popular internet/email forensic tools.
Mobile and Other Device Forensics
Extraction and analysis of static data from smartphones, tablets, USB sticks and dynamic/volatile dada from other sensor/node devices. Analysis of data using hash tools.
Forensic Analysis
Analysing captured data using tools. Timelines using log2timeline, hash analysis using md5deep, volatile data using Volatility, network data using Wireshark, file carving using Scalpel.
Counter Forensics
Detection of tampered, altered, destroyed and/or deleted files and logs. Trace evidence, disk level analysis and manipulation tools such as timestomp.
Types of Evidence
Chain of custody, evidence identification, evidence preservation, evidence analysis, evidence communication and presentation.
Software and Tools
Analysis of computer forensic tools and applications, not exclusive to the following list, Encase, SANS Investigative Forensic Toolkit (SIFT), TSK and Autopsy and Oxygen Forensics Suite.
Assessment Breakdown%
Continuous Assessment20.00%
Practical30.00%
End of Module Formal Examination50.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Case Studies Critique a Case Study of an electronic discovery process, reflecting on knowledge and experience gained over the duration of the module. 4 20.00 n/a
No Project
Practical
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Analyse and extract relevant data from a device in a professional manner. 2 30.00 n/a
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam Terminal Examination 1,3,4 50.00 End-of-Semester

ITCarlow reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Laboratory 30 Weeks per Stage 2.00
Lecture 30 Weeks per Stage 1.00
Independent Learning 30 Weeks per Stage 3.67
Total Hours 200.00