Istanbul Health and Technology University INFORMATION PACKAGE / COURSE CATALOGUE
| Computer Engineering | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course General Introduction Information
| Course Code: | BYM445 | ||||
| Course Name: | Image Processing | ||||
| Course Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | |||||
| Course Requirement: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Departmental Elective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator : | Ar.Gör. MUHAMMED TAYYİP KOÇAK | ||||
| Course Lecturer(s): | Prof. Dr. Halis Altun | ||||
| Course Assistants: |
Course Purpose and Content
| Course Objectives: | To learn the basics of image processing and develop programming skills in the related field |
| Course Content: | Basics of Image processing and computer vision, libraries and programming environments for image processing, spatial filters, binary operations, object segmentation and tracking |
Learning Outcomes
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The students who have succeeded in this course;
1) learn image processing hardware elements 2) knowledge of image processing 3) learn image processing algorithms and methods 4) developing an image processing application |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | Introduction to digital image processing | none |
| 2) | Pixel operations | none |
| 3) | Spatial filtering | none |
| 4) | Gradients, edges and contours | none |
| 5) | Segmentation | none |
| 6) | Morphological operations | none |
| 7) | Color image processing | none |
| 8) | Keypoint detection | none |
| 9) | Feature-based Methods for Image Matching | none |
| 10) | Template matching and object detection | none |
| 11) | Machine learning and image processing | none |
| 12) | Advanced topics (Motion detection, object tracking...etc) | none |
| 13) | Applications | none |
| 14) | Applications | none |
Sources
| Course Notes / Textbooks: | yok |
| References: | none |
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Medium | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. | 2 |
| 2) | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | 2 |
| 3) | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose | 2 |
| 4) | Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | 2 |
| 5) | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | 2 |
| 6) | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | 1 |
| 7) | Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | 1 |
| 8) | Knowledge of the global and societal impacts of engineering practices on priority issues such as health, environment and safety and contemporary issues; knowledge of the legal aspects of engineering solutions. awareness of the consequences | 1 |
| 9) | Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. | 1 |
| 10) | Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development. | 2 |
| 11) | Ability to design systems to meet desired needs | 2 |
| 12) | Ability to apply basic sciences in the field of computer engineering | 2 |
| 13) | Ability to implement designs by experiments | 2 |
| 14) | Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | 2 |
Learning Activity and Teaching Methods
| Course | |
| Homework | |
| Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.) |
Measurement and Evaluation Methods and Criteria
| Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
| Uygulama |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Application | 2 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
İş Yükü ve AKTS Kredisi Hesaplaması
| Activities | Number of Activities | Aktiviteye Hazırlık | Aktivitede Harçanan Süre | Aktivite Gereksinimi İçin Süre | Workload | ||
| Course Hours | 14 | 2 | 28 | ||||
| Application | 14 | 4 | 56 | ||||
| Homework Assignments | 2 | 20 | 40 | ||||
| Midterms | 1 | 20 | 20 | ||||
| Final | 1 | 25 | 25 | ||||
| Total Workload | 169 | ||||||