Information Package / Course Catalogue
| Course Code | : RYZ211 |
| 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 aim of the course is to teach students the basic concepts, algorithms and applications related to digital image processing. This course focuses on analyzing, processing, transforming and making images usable in different applications. It also aims to teach students image processing techniques such as image enhancement, denoising, segmentation, edge detection.
This course aims to teach students the fundamental concepts, methodologies and applications of digital image processing techniques. The course will cover a wide range from basic principles of image processing to advanced algorithms supported by practical examples. Students will gain theoretical knowledge as well as practical image processing skills. This course aims to provide students with theoretical and practical knowledge of basic and advanced techniques in image processing in robotic systems. The course prepares students for real world applications and projects and provides them with critical thinking and problem solving skills in this field.
| 1. | Knows the usage areas of image processing techniques in unmanned vehicles. |
| 2. | Have the ability to set up an image processing system to be used in unmanned vehicles. |
| 3. | It has the ability to automatically process images for unmanned vehicles, collect necessary data, and monitor in real time. |
| 4. | Have the ability to measure and evaluate the performance of image processing systems. |
| 5. | Have the ability to define the time and success standards of image processing. |
| 6. | Have the ability to describe image processing processes and the differences between these processes in robotic applications. |
| 1. | Digital Image Processing and Applications - İbrahim Kinaci |
| 2. | Digital Image Processing - Rafael C. Gonzalez, Richard E. Woods |
| Type of Assessment | Count | Percent |
|---|---|---|
| Attending Lectures | 10 | %5 |
| Quiz | 1 | %5 |
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 2 | 28 |
| Project | 5 | 0 | 3 | 15 |
| Studio Work | 7 | 0 | 3 | 21 |
| Individual Work | 14 | 0 | 2 | 28 |
| Quiz | 1 | 0 | 1 | 1 |
| Midterm Examination | 1 | 0 | 1 | 1 |
| Final Examination | 1 | 0 | 1 | 1 |
| TOTAL WORKLOAD (hours) | 95 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-6 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |