Biometric Person Authentication (8020.2)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | ||
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Education, Science, Technology & Maths |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Maths & Technology | Level 3 - Undergraduate Advanced Unit | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit students will be able to show an understanding of different methods for physical and behavioural biometric person authentication; an understanding of the statistical models underlying the identification and verification paradigms; an understanding of the Bayesian decision framework, including error categories, prior and posterior probabilities; and an understanding of the role of the independent expert. In terms of generic skills, students will be able to: identify problems and analyse the main features of problems relevant to their professional field; apply appropriate problem solving processes, arguments, critical and creative thinking; implement and evaluate strategies for the resolution of problems; anticipate and define new problems; and identify and resolve new problems in new fields.Prerequisites
Discrete Mathematics or Engineering Mathematics 1 or Engineering Mathematics 2 and Software Technology 1.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|
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