Develop an understanding of the techniques available for facial identification including biometric and anthropometrical systems, 3-Dimensional face recognition and modelling systems and software generation of Identikit images. Experience of facial recognition software programmes and an understanding of future developments in identification and verification of individuals. Specific case studies where facial composites and aged facial composites have been used to aid an investigation. Develop an understanding of reliability and accuracy of eyewitness statements. Examine factors affecting the accuracy of eye witness accounts including bias, faulty observation, lying, weapon focus and post-event distortion. An introduction to the cognitive processes that affect memory recall and false perceptions. Specific case studies where research has been conducted into the degree to which the perception of the eye witness can be manipulated or affected. Experience in production of a witness statement followed by a comparison with eye witness statements from peer cohort, to develop an understanding of the potential inaccuracies that can occur.

- Bruce, V. and Young, A.W. In the eye of the beholder: the science of face perception. Oxford University Press, 2000.
- Young, A.W. and Ellis, H. Handbook of research on face processing. North-Holland, 1989.
- Wechsler, H. Reliable face recognition methods: system design, implementation and evaluation. Springer, 2007.
- Loftus, E. Eyewitness Testimony. Harvard University Press, 1996.
- Wilkinson, C. Forensic Facial Reconstruction. Cambridge University Press, 2004.
- Cutler, B.L. and Penrod, S.D. Mistaken identification: the eyewitness, psychology, and the law. Cambridge University Press, 1995.
- Taylor, K.T. Forensic Art and Illustration. CRC Press, 2001.
- Boulgouris, N.V., Plataniotis K.N. and Micheli-Tzanakou, E. Biometrics: Theory, Methods and Applications. Wiley, 2009.

Module Handbook, Lecture room equipped with PowerPoint, OHP, White Board, VLE and other presentation provisions.
IT facilities and readily available facial recognition software

12 x 2 hour sessions being a mix of lectures, tutorials and workshops to present and discuss the software and information, students will be expected to contribute during tutorials and workshop sessions which will be carried out in groups
Workshops will be delivered in the IT labs and timetabled to fit in with other activities, the software used will be flashface, exercises and activities will be available to students through the use of Blackboard

Non-contact independent study will be required to compliment the lecture, tutorial and workshop sessions.

Summative Assessment
Students will be required to complete 2 pieces of summative assessment:-

A written report (1000 words) comparing images generated by facial recognition software programmes, detailing the accuracy of producing facial composite photographs and evaluating the use of this software in verification and identification of individuals [50%]. This assessment meets Learning Outcomes 1, 2 and 3.

A written report (1000 words) discussing the reliability and accuracy of eye witness statements. This will be based on statements produced during a group exercise and students will be expected to demonstrate an understanding of how the cognitive processes affect the recalling of an event [50%]. This assessment meets Learning Outcomes 4 and 5.

Formative Assessment
Students will be provided formative assessment opportunities through feedback during tutorial activities.