Instıtute Of Graduate Educatıon
Informatıon Technologıes Master's Program (Wıthout Thesıs)
Course Information
| BIOMETRIC SYSTEMS | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| IT508 | Spring | 3 | 0 | 3 | 5 |
| Prerequisites and co-requisites | None |
|---|---|
| Language of instruction | Turkish |
| Type | Elective |
| Level of Course | Master's |
| Lecturer | Asst. Prof. Dr. Maryam ESKANDARI |
| Mode of Delivery | Face to Face |
| Suggested Subject | None |
| Professional practise ( internship ) | None |
| Objectives of the Course | 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. |
| Contents of the Course | Mathematical bacground for biometric system Introduction to biometrics Pattern recognation fundamentals Fingerprint verifition, enhancement and classification methods Face recognation Eyes identification |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Teach to the students biometric systems |
| 2 | Develope the students analytical abilities |
| 3 | Introduce the key points of physilogical phenomena |
| 4 | Define Biometric Security Systems |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Mathematical bacground for biometric system | Lecturing, discussion |
| 2 | Introduction to biometrics | Lecturing, discussion |
| 3 | Introduction to image processing | Lecturing, discussion |
| 4 | Pattern recognation fundamentals | Lecturing, discussion |
| 5 | Fingerprint verifition, enhancement and classification methods | Lecturing, discussion |
| 6 | Face recognation | Lecturing, discussion |
| 7 | Eyes identification | Lecturing, discussion |
| 8 | Ear biometrics | Lecturing, discussion |
| 9 | Voice biometrics | Lecturing, discussion |
| 10 | Midterm | Written Exam |
| 11 | ECG recognation in biometric | Lecturing, discussion |
| 12 | Digital signiture, digital certificates | Lecturing, discussion |
| 13 | Biometric standards | Lecturing, discussion |
| 14 | Final Exam | Written 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 | Teach to the students biometric systems | 1͵4͵13 | 1͵2 |
| 2 | Develope the students analytical abilities | 1͵4͵13 | 1͵2 |
| 3 | Introduce the key points of physilogical phenomena | 1͵4͵13 | 1͵2 |
| 4 | Define Biometric Security Systems | 1͵4͵13 | 1͵2 |
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 | 0 | 0 | 0 |
| 8 | Midterm Exam | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
| 14 | Final Exercise | 1 | 41 | 41 |
| 15 | Preparation for Final Exam | 0 | 0 | 0 |
| 16 | Final Exam | 0 | 0 | 0 |
| 125 | ||||