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Information
| Code | BMM0046 |
| Name | Computer Vision |
| Semester | . Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator |
Course Goal
Transferring the basics of Computer Vision, reaching the level where students can develop software for some hardware.
Course Content
Geometric Transformations, Perception and Tracking of Different Organs I: Face, Eye, Detection and Tracking of Different Organs II: Ear, Mouth, Feature Extraction from Image, Detection of Shapes and Image Segmentation, Object Tracking, Object Recognition, Augmented Reality, Basic Artificial Intelligence Algorithms for Computer Vision,
Course Precondition
None
Resources
G. Garrido, P. Joshi, "OpenCV 3.x with Python By Example 2E"
Notes
K Dawson-Howe, "A Practical Introduction to Computer Vision with OpenCV"
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | The student can develop software that can perform real-time object tracking. |
| LO02 | Develop software that will parse different objects in real time. |
| LO03 | Can develop computer vision projects for basic hardware other than computers. |
| LO04 | Can apply artificial intelligence methods for computer vision. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to reach new solutions by applying current and advanced technical approaches of mathematics, science and engineering sciences to current scientific problems encountered in the field of medicine and medical technologies. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | Having knowledge of the literature related to a sub-discipline of biomedical engineering, defining and modeling current problems, and being a specialist in that discipline. | 5 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Analyzing data, making theoretical and simulation based designs, designing experiments and interpreting the results. | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques, software, hardware and computational tools for engineering applications. | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to carry out scientific studies with medical doctors and members of other disciplines from an engineering point of view. | |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing one's own findings orally and in writing, clearly and concisely, writing conference and journal papers. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | The ability to act independently, set priorities and be creative. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction of Software | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 2 | Geometric Transformations | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 3 | Perception and Tracking of Different Organs I: Face, Eye | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 4 | Detection and Tracking of Different Organs II: Ear, Mouth | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 5 | Feature Extraction from Image I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 6 | Feature Extraction from Image II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 7 | Detection of Shapes and Image Segmentation | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Review | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Object Tracking I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 10 | Object Tracking II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 11 | Object Recognition I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 12 | Object Recognition II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 13 | Augmented Reality | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 14 | Basic Artificial Intelligence Algorithms for Computer Vision I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 15 | Basic Artificial Intelligence Algorithms for Computer Vision II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Review | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||