COURSE UNIT TITLE

: BIOMETRIC SYSTEMS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BMT 5028 BIOMETRIC SYSTEMS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR GÜLTER GÜLDEN KÖKTÜRK

Offered to

Industrial Ph.D. Program In Advanced Biomedical Technologies
Industrial Ph.D. Program In Advanced Biomedical Technologies
Biomedical Tehnologies (English)

Course Objective

The main objective of this course is to introduce the key meaning of biometrics. Biometrics identifies individual characteristics based on his/her physiological contents like a fingerprint, face, voice, eyes, or ear and DNA. Since, biometric characteristics are unique in any human, they can be used authentication. Conversely biometric features like a password or a PIN, cannot be lost, stolen, or recreated. This course is primarily focused on biometrics systems, description and applications. Additionally, there are many problems in this area suitable for investigation by graudate students.

Learning Outcomes of the Course Unit

1   Teach to the students biometric systems
2   Develope the students analytical abilities
3   Introduce the key points of physilogical phenomena

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Mathematical bacground for biometric system
2 Introduction to biometrics
3 Introduction to image processing
4 Pattern recognation fundamentals
5 Fingerprint verifition, enhancement and classification methods
6 Face recognation
7 Eyes identification
8 Ear biometrics
9 Voice biometrics
10 Midterm
11 ECG recognation in biometric
12 Digital signiture, digital certificates
13 Biometric standards
14 Applications of biometric

Recomended or Required Reading

J. Wayman, A. Jain, D. Maltoni, D. Maio, "biometric Systems", Springer, 2004.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 PRJ PROJECT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE *0.25 + PRJ *0.45 +FIN *0.30
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE *0.25 +PRJ *0.45 +RST *0.30


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 5 65
Preparations before/after weekly lectures 13 5 65
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Design Project 13 2 26
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 180

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10
LO.1545443
LO.25553
LO.35552343

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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