Information Package / Course Catalogue
| Course Code | : YZO263 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 0 |
| Credit | : 2 |
| Lab | : 0 |
| ECTS | : 4 |
The objective of this course is to introduce students to image processing concepts, fundamental methods, and AI-enabled image processing applications. Students will acquire fundamental knowledge and skills in image data processing, analysis, and use in AI applications, and will develop the competence to effectively utilize image processing technologies in professional contexts.
The course begins with an introduction to image processing and its fundamental concepts, covering the properties of digital images and image processing methods. Fundamental techniques such as image enhancement, filtering, edge detection, and segmentation are taught. Examples of AI-assisted image processing are presented, along with practical applications. Current software and tools related to image processing are also introduced. Data security, ethical principles, and professional practices in image processing are emphasized.
| 1. | Defines the basic properties of digital images and has knowledge about image formats. |
| 2. | It applies basic image enhancement, filtering, and edge detection techniques. |
| 3. | Uses basic knowledge of artificial intelligence-supported image processing methods. |
| 4. | Provides image processing-based solutions for professional problems. |
| 5. | Follows current developments in the field of image processing and contributes to professional practices and career development. |
| 1. | Image Processing and Applications from Image to Data with Python Bekir Aksoy Nobel Academic Publishing |
| Type of Assessment | Count | Percent |
|---|---|---|
| Assignment | 1 | %10 |
| Quiz | 1 | %10 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Assignment | 1 | 16 | 1 | 17 |
| Quiz | 1 | 16 | 1 | 17 |
| Midterm Examination | 1 | 16 | 1 | 17 |
| Final Examination | 1 | 20 | 1 | 21 |
| TOTAL WORKLOAD (hours) | 100 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | |
OÇ-1 | 5 | 5 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 3 | 3 | 4 |
OÇ-2 | 5 | 5 | 5 | 4 | 5 | 4 | 5 | 4 | 5 | 2 | 2 | 3 |
OÇ-3 | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 4 | 4 | 3 | 3 | 4 |
OÇ-4 | 5 | 5 | 5 | 4 | 4 | 3 | 4 | 4 | 5 | 3 | 2 | 3 |
OÇ-5 | 5 | 4 | 4 | 4 | 5 | 4 | 5 | 4 | 5 | 3 | 3 | 3 |