Faculty Of Engıneerıng
Computer And Software Engıneerıng
Course Information
| PATTERN RECOGNITION | |||||
|---|---|---|---|---|---|
| Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
| Hour / Week | |||||
| CSE411 | Fall | 2 | 2 | 3 | 5 |
| Prerequisites and co-requisites | None |
|---|---|
| Language of instruction | English |
| Type | Elective |
| Level of Course | Bachelor's |
| Lecturer | Asst. Prof. Mehmet Ali AKTAŞ |
| Mode of Delivery | Face to Face |
| Suggested Subject | None |
| Professional practise ( internship ) | None |
| Objectives of the Course | Pattern recognition has widespread application area in Electrical Engineering. The purpose of this course is to teach techniques and applications for pattern recognition. |
| Contents of the Course | 1.INTRODUCTION TO PATTERN CLASSIFICATION 1.1 Pattern recognition systems 1.3 Optical pattern recognition systems 2.PATTERN RECOGNITION TECHNIQUES 2.1 Statistichal techniques 2.2 Fukunaga-Koontz Transform 2.3 Fuzzy classifier 2.4 Stochastic methods 3.OPTICAL PATTERN RECOGNITION TECHNIQUES 3.1 Optic Filters 3.2 MACH Filtering for recognition 3.3 Optic hardware components 4.JOINT TRANSFORM CORRELATION 4.1 Optic match filter 4.2 Optic Fourier correlation 4.3 Adaptive joint transform correlation 5. OPTICAL TARGET TRACKING 5.1 Target tracking in video sequence 5.2 Performance metrics for Pattern recognition 5.3 Receiver Operating Characteristic (ROC) |
Learning Outcomes of Course
| # | Learning Outcomes |
|---|---|
| 1 | Students get pattern recognition ability, |
| 2 | Ability of pattern classification, |
| 3 | Ability of optical pattern recognition, |
| 4 | Ability of target recognition and tracking, |
| 5 | Ability of development of pattern recognition system. |
Course Syllabus
| # | Subjects | Teaching Methods and Technics |
|---|---|---|
| 1 | Introduction to pattern recognition | Lecture, discussion, presentation |
| 2 | Statistical classifier | Lecture, discussion, presentation |
| 3 | Fukunaga-Koontz Transform | Lecture, discussion, presentation |
| 4 | Fuzzy classifier | Lecture, discussion, presentation |
| 5 | Dimension Reduction | Lecture, discussion, presentation |
| 6 | Optic filters - MACH filtering for recognition | Lecture, discussion, presentation |
| 7 | Midterm | Exam |
| 8 | Classification by optic match filter, | Lecture, discussion, presentation |
| 9 | Classification by distance based correlation filters | Lecture, discussion, presentation |
| 10 | Optic Fourier Correlation - Joint transform correlation | Lecture, discussion, presentation |
| 11 | Adaptive joint transform correlation | Lecture, discussion, presentation |
| 12 | Target tracking in video sequences | Lecture, discussion, presentation |
| 13 | Performance metrics for Pattern recognition - Receiver Operating Characteristic (ROC) | 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 | Students get pattern recognition ability, | 1͵2͵3 | 1͵2 |
| 2 | Ability of pattern classification, | 1͵2͵3 | 1͵2 |
| 3 | Ability of optical pattern recognition, | 1͵2͵3 | 1͵2 |
| 4 | Ability of target recognition and tracking, | 1͵2͵3 | 1͵2 |
| 5 | Ability of development of pattern recognition system. | 1͵2͵3 | 1͵2 |
Work Load Details
| # | Type of Work | Quantity | Time (Hour) | Work Load |
|---|---|---|---|---|
| 1 | Course Duration | 14 | 4 | 56 |
| 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 | 1 | 1 | 1 |
| 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 | 20 | 20 |
| 14 | Final Exercise | 0 | 0 | 0 |
| 15 | Preparation for Final Exam | 0 | 0 | 0 |
| 16 | Final Exam | 1 | 1 | 1 |
| 120 | ||||