Module Descriptors
BIOMETRICS 1
COCS50388
Key Facts
Faculty of Computing, Engineering and Sciences
Level 5
15 credits
Contact
Leader: David Hodgkiss
Hours of Study
Scheduled Learning and Teaching Activities: 24
Independent Study Hours: 126
Total Learning Hours: 150
Assessment
  • REPORT weighted at 60%
  • GROUP ASSIGNMENT weighted at 40%
Module Details
Module Resources
Internet and library access
Computer laboratory with appropriate security, forensic and biometric hardware and software and suitably configured operating system(s)
Module Texts
Reid, P. (2004) Biometrics for Network Security Prentice Hall, USA. ISBN 0-13-101549-4
Module Special Admissions Requirements
None.
Module Learning Strategies
1 Lecture and 1 practicals per week (1:n)1 (1:20)1

In addition the student will be required to undertake an amount of independent learning in order to complete the assignment together with background/directed reading to support lecture and tutorial material.
Module Indicative Content
Bio-engineering; HCI issues; Hardware interaction / interfacing; pattern recognition; Further Digital Signal Processing; Implementation issues; Metrics and Taxonomy - fingerprints, face, iris, retina, hand, voice, keyboard dynamics etc.
Module Additional Assessment Details
A report (approximately 2000 words) weighted at 60%. (Covering learning outcomes 2 and 3).
Consisting of research, presentation and evaluation of security implications associated with biometric technologies.

A group work assignment (approximately 2000 words) weighted at 40%. (Covering learning outcomes 1 and 3).
Consisting of research and presentation of techniques used within biometric security technologies.