
| Course Code | : RYZ102 |
| Course Type | : Required |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 2 |
| Prt. | : 1 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 3 |
The aim of the course is to teach the working principles of robots, the basic components of robotic systems and the application methods of robotic applications to real-world problems together with artificial intelligence (AI); to provide the skills of data analysis, learning, decision making and developing automatic systems by using artificial intelligence algorithms in robotic systems. This course aims to teach how various artificial intelligence techniques can be used in various industrial, medical and daily life applications of robots within the scope of basic topics such as robot design, control systems, kinematics, dynamics and sensor technologies, by providing practical application skills. It also aims to teach the use, programming and control of sub-disciplines such as machine learning, deep learning, natural language processing (NLP) and computer vision on robotic systems.
The robotics and artificial intelligence applications course provides students with a comprehensive understanding of the applications of robotic technologies in different areas based on artificial intelligence and the process from the design to the use of these technologies. It is a course that provides the skills to analyze the functioning of today's technology, adapt artificial intelligence technologies to robotic systems, use the technological devices used in the most efficient and comprehensive way, and make the right additions by knowing the working principles of artificial intelligence-based robotic systems.
| Lec. İsmail MERSİNKAYA |
| 1. | They understand the basic components and operation of robotic systems, grasp the role of sensors and actuators, and learn to design programmable systems with microcontrollers. |
| 2. | Designs robotic systems for Robotics and Artificial Intelligence applications, produces prototypes and uses these systems to solve real-world problems. |
| 3. | In Robotics and Artificial Intelligence applications, they design and implement basic robotic algorithms such as motion control of robots, processing of sensor data and decision algorithms. |
| 4. | They will have basic theoretical and application knowledge for the development of robotics and artificial intelligence applications in agriculture, industry, assistant robots and healthcare fields, as well as drones and autonomous systems. |
| 5. | They understand their ethics, safety and social responsibilities in robotics and AI applications and become aware of human interaction and collaboration with robots. |
| 1. | Robotik: Temel Kavramlar ve Uygulamalar - Haluk Eren |
| 2. | Yapay Zeka: Temelleri ve Uygulamaları - Abdullah Tasçı |
| 3. | Artificial Intelligence: A Modern Approach - Stuart Russell, Peter Norvig |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Project | 10 | 0 | 2 | 20 |
| Individual Work | 14 | 0 | 1 | 14 |
| Midterm Examination | 1 | 0 | 1 | 1 |
| Final Examination | 1 | 0 | 1 | 1 |
| TOTAL WORKLOAD (hours) | 78 | |||
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 |