Istanbul Health and Technology University INFORMATION PACKAGE / COURSE CATALOGUE
| Software 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: | Fall | ||||
| Course Credits: |
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| Language of instruction: | |||||
| Course Requirement: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Area Ellective | ||||
| 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) | Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems. | 2 |
| 2) | The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modelling methods for this purpose. | 2 |
| 3) | The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | 2 |
| 4) | Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively. | 3 |
| 5) | Ability to design experiments, conduct experiments, collect data, analyse and interpret the results of complex engineering problems or discipline-specific research topics. | 3 |
| 6) | Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi. | 1 |
| 7) | Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. | 1 |
| 8) | Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive. | 1 |
| 9) | Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications. | 1 |
| 10) | Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development. | 1 |
| 11) | Information on the effects of engineering applications on health, environment, and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions. | 1 |
| 12) | Adequate skills in the analysis, design, verification, evaluation, implementation, implementation, and maintenance of software systems | 3 |
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 | ||||||