The Robotics and Artificial Intelligence Associate Degree Program aims to equip students in this field by offering a comprehensive and detailed academic content and curriculum. The curriculum usually consists of four semesters and each semester includes certain basic and advanced courses.
The first semester aims to provide students with basic computer science and engineering knowledge. In this semester, students are introduced to programming languages (usually Python and C/C++), data structures and algorithms. Mathematical foundations and engineering drawing techniques are also important components of this semester. These courses are designed to develop students' analytical thinking and problem-solving skills, which are essential in the fields of robotics and artificial intelligence.
In the second semester, students begin to learn the basic principles of robotics and artificial intelligence. Robotics courses cover topics such as robot kinematics, dynamics and control systems. Students do various projects and laboratory studies to understand the mechanical structure and motion capabilities of robots. Artificial intelligence courses focus on the basics of machine learning, artificial neural networks and simple algorithms. In this semester, students learn to code basic algorithms and analyze data.
In the third semester, students move on to more advanced robotics and artificial intelligence topics. In the field of robotics, autonomous systems, sensor technologies and robotic application development courses take center stage. Students learn how various sensors and actuators work and how to integrate these components into robotic systems. Artificial intelligence courses cover topics such as deep learning, natural language processing and image processing. Students gain practical experience by using deep learning algorithms and models in applied projects.
In the fourth and final semester, students have the opportunity to put their theoretical knowledge into practice through project-based learning methods. In this semester, students bring together all the knowledge and skills they have acquired by working on a large-scale capstone project. Projects are usually carried out in collaboration with industry and aim to provide solutions to real-world problems. In addition, workplace practices and internships are also intensified during this period. By gaining professional experience in their chosen industry, students lay a solid foundation for their post-graduation careers.
In addition, the curriculum may include courses such as ethical and legal issues, entrepreneurship and innovation. These courses help students understand the social and ethical dimensions of technological developments and contribute to the development of innovative thinking and business building skills. A variety of resources, books, online materials and simulation tools support the learning process of the students.
All these courses and contents aim to ensure that students become competitive and innovative professionals in the sector, equipped with both theoretical and practical knowledge and skills.