Aims
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PEA1. To train competent technical personnel in the fields of artificial intelligence, robotics, sensor technologies, and control systems who can participate in the design, integration, and application of autonomous systems.
PEA2. To produce graduates who can respond to the technological needs required by the digital transformation process and who integrate theoretical knowledge with practical skills.
PEA3. To develop expertise in robotic automation, mobile robots, industrial control units, and data analysis applications.
PEA4. To train individuals who follow innovations in their field and have developed analytical thinking and problem-solving skills.
Objectives
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To train technical personnel who possess fundamental knowledge and skills about the hardware and software components of autonomous systems and who can actively participate in the design, integration, testing, and maintenance processes of these systems. The goal is to train individuals who possess hands-on knowledge in sensor technologies, artificial intelligence applications, embedded systems, and industrial automation, who can work interdisciplinarily, and who can keep up with technological developments. Through internships, projects, and field applications conducted in collaboration with the public and private sectors, the aim is to facilitate the adaptation of graduates to the business world and to create a workforce that can meet sectoral needs. The goal is to contribute to the workforce by training graduates who are committed to professional ethical values, have strong communication skills, are adept at teamwork, and embrace continuous learning. Finally, the aim is to support graduates in continuing their education in relevant engineering undergraduate programs through the Vertical Transfer Examination (DGS) and to contribute to their academic development.
