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FSC-10007 - Module Specification
School of Chemical and Physical Sciences
Faculty of Natural Sciences

For academic year: 2023/24 Last Updated: 13 February 2024

FSC-10007 - Identification and Investigation (Digital Forensics)
Coordinator: Victoria Cartwright Tel: +44 1782 7 33584
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 734921

Programme/Approved Electives for 2023/24

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2023/24

This module will be a core module for the new BSc (Hons) Computer Science (Digital Forensics) programme, bringing together relevant forensic identification and investigation material, skills and analysis within forensic science.

Aims
This module provides an introduction to forensic science as a professional discipline in the context of the crime scene and common forensic evidence. It provides the scientific basis for many of the core areas of the forensic science discipline.

Intended Learning Outcomes

Record, report and present the results of forensic investigation and analysis: 2,3
Perform forensic science skills protocols related to forensic science methodologies: 2
Perform fundamental instrumental skills and data analysis to specified standards: 2,3
Describe and explain how forensic and crime scene science operates within the UK legal system: 1

Study hours

Scheduled:
Lectures (12h),
Practical and data analysis sessions (24h).
Independent:
Directed (and not directed reading), preparation of assessments (114 h)

School Rules

None

Description of Module Assessment

1: Oral Presentation weighted 40%
Oral presentation
Team-based oral presentation. The presentation is 10 mins plus 5 min of questions. The students get an individual mark based on their presentation and response to questions.

2: Case Study weighted 30%
Case Report
Case report analysing results of all semester 1 practical investigations, equivalent to 1,500 words

3: Problem Sheets weighted 30%
Problem sheet
Problems based on statistics workshops (semester 2) . Equivalent to 1,500 words.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 13 February 2024