Module Descriptors
DIGITAL EVIDENCE PROCESSING
FORE40358
Key Facts
Health, Education, Policing and Sciences
Level 4
20 credits
Contact
Leader: Dean Northfield
Hours of Study
Scheduled Learning and Teaching Activities: 42
Independent Study Hours: 158
Total Learning Hours: 200
Pattern of Delivery
  • Occurrence A, Stoke Campus, UG Semester 1 to UG Semester 2
Sites
  • Stoke Campus
Assessment
  • GROUP PRESENTATION - 10 MINUTES weighted at 40%
  • DIGITAL ACADEMIC POSTER weighted at 60%
Module Details
MODULE INDICATIVE CONTENT
This module will develop your depth of understanding in a variety of techniques and concepts including many aspects of acquiring, processing, enhancement, manipulation and presentation of a wide variety of common digital evidence platforms; Imaging, Image processing, Video, Audio, Forensic graphics 2D and 3D.

Introduction to national guidelines for dealing with forensic evidence including issues around authenticity and integrity.

Topics taught will include an introduction and discussion around current, new and emerging technologies, multimedia and software that currently exist within the forensic industry for the purpose of investigative functions. Many of the lectures will be taken by industry experts within different forensic discipline.

Horizon scanning of the latest technological advancement in forensic technology and multimedia.

Practical elements will include using software for hands on experience of processing and preparation of digital evidence for investigation and presentation in courts, for example video evidence, audio evidence, forensic graphics and photographic evidence.
MODULE ADDITIONAL ASSESSMENT DETAILS
This module will be assessed by the production of

1) Digital Portfolio assessing understanding and application of the methods used in digital forensic investigation. [MLOs 1-3]
2) This will be further developed through a separate group presentation and production of an academic poster [MLO 4]
MODULE LEARNING STRATEGIES
A mixture of interactive lectures and complementary practical sessions will provide you with core knowledge of digital evidence. This module requires extensive amounts of wider reading to support your learning.
MODULE LEARNING OUTCOMES
1. Describe and comment on current techniques and methods of acquiring, processing, analysing and presenting forensic evidence for criminal investigation. Related to varying common digital evidence formats.

5) Problem Solving

6) Communication

7) Application

2. Apply methods and techniques in the use of software, to process and prepare digital evidence; adhering to national guidelines, protocols and national standards.

2) Learning

7)Application

3. Demonstrate an understanding of key aspects within the digital evidence field, including digital case management systems, government protocols and guidelines, digital courts, legislation and EPE (electronic presentation of evidence) within a policing and investigative context

1) Knowledge and Understanding

4. Communicate and analyse information, ideas, problems and solutions to both specialist and non-specialist audiences.

6) Communication
MODULE RESOURCES
Specialist IT Labs (Mellor building or Beacon)
MODULE TEXTS
Borengasser, M., 2012. Forensic Image Processing. Maidenhead: McGraw-Hill Professional.
Geradts, Z., 2013. Image Processing and Analysis. Wiley Encyclopedia of Forensic Science,.
Ho, A., 2015. Handbook Of Digital Forensics Of Multimedia Data And Devices. Wiley.
Jackson, A. and Jackson, J., 2008. Forensic Science. Harlow: Pearson Prentice Hall.
Jones, P., 2011. Practical Forensic Digital Imaging.
Russ, J., 2011. The Image Processing Cookbook. 2nd ed.
MODULE SPECIAL ADMISSIONS REQUIREMENTS
N/A
ASSESSMENT DETAILS
This module will be assessed by the production of

Group Presentation assessing understanding and application of the methods used in digital forensic investigation, this will be based on the individual digital portfolio produced during the module. [MLOs 1-3]

A further academic poster will be produced individually surrounding topics in digital evidence processing. [MLO 4]