Faculty Of Engıneerıng
Computer And Software Engıneerıng

Course Information

INTRODUCTION TO BIOMETRIC SYSTEMS
Code Semester Theoretical Practice National Credit ECTS Credit
Hour / Week
CSE330 Spring 3 0 3 4

Prerequisites and co-requisites None
Language of instruction English
Type Elective
Level of Course Bachelor's
Lecturer Asst. Prof. Maryam ESKANDARİ
Mode of Delivery Face to Face
Suggested Subject None
Professional practise ( internship ) None
Objectives of the Course The objective of this course is to introduce to students the several biometric identification and verification systems.
Contents of the Course Biometric identification and verification, performance calculations of biometric systems, fingerprint verification, face recognition, iris and retina based identification, hand geometry and DNA based identification, multimodal biometric systems, biometric system standards.

Learning Outcomes of Course

# Learning Outcomes
1 An ability to apply knowledge of mathematics, science, and engineering.
2 An ability to design a system, component, or process to meet desired needs.
3 An ability to identify, formulate, and solve engineering problems.
4 A knowledge of contemporary issues.

Course Syllabus

# Subjects Teaching Methods and Technics
1 Introduction to Biometrics Lecture, discussion, presentation
2 Definitions of Identification and verfication, Error rate calculations Lecture, discussion, presentation
3 Design of classifiers for biometric systems Lecture, discussion, presentation
4 Fingerprint verification Lecture, discussion, presentation
5 Face recognition Lecture, discussion, presentation
6 Iris patterns Lecture, discussion, presentation
7 Midterm Exam
8 Hand Geometry identification Lecture, discussion, presentation
9 DNA based identifications Lecture, discussion, presentation
10 Combined identifications systems Lecture, discussion, presentation
11 Multimodal Biometrics Lecture, discussion, presentation
12 Biometrics Standards Lecture, discussion, presentation
13 Biometric Databases Lecture, discussion, presentation
14 Final Exam Exam
15
16

Course Syllabus

# Material / Resources Information About Resources Reference / Recommended Resources

Method of Assessment

# Weight Work Type Work Title
1 40% Mid-Term Exam Mid-Term Exam
2 60% Final Exam Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

# Learning Outcomes Program Outcomes Method of Assessment
1 An ability to apply knowledge of mathematics, science, and engineering. 4͵11͵12 1͵2
2 An ability to design a system, component, or process to meet desired needs. 3͵4͵11 1͵2
3 An ability to identify, formulate, and solve engineering problems. 3͵4͵11 1͵2
4 A knowledge of contemporary issues. 3͵4͵11 1͵2
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

# Type of Work Quantity Time (Hour) Work Load
1 Course Duration 14 3 42
2 Course Duration Except Class (Preliminary Study, Enhancement) 14 3 42
3 Presentation and Seminar Preparation 0 0 0
4 Web Research, Library and Archival Work 0 0 0
5 Document/Information Listing 0 0 0
6 Workshop 0 0 0
7 Preparation for Midterm Exam 1 2 2
8 Midterm Exam 1 2 2
9 Quiz 0 0 0
10 Homework 0 0 0
11 Midterm Project 0 0 0
12 Midterm Exercise 0 0 0
13 Final Project 1 5 5
14 Final Exercise 0 0 0
15 Preparation for Final Exam 1 5 5
16 Final Exam 1 2 2
  100