robotics and artificial intelligence

Qualification Awarded

Associate degree in robotics and artificial intelligence

Level of Qualification

Short Cycle (Associate's Degree)

Recognition of Prior Learning

Lateral or vertical transfer student admission is carried out basing on the "The Transfer Regulations for Associate and Undergraduate Degrees, Double Majors, Sub-specialties and Credit Transfer Regulations among Institutions". The prior learning of transfer students is recognized as per the relevant regulations of Council of Higher Education and under the coordination of the Adaptation Committee.

Kocaeli University guarantees in advance that all credits gained and courses received by an Erasmus student after the mobility abroad will be fully recognized and transferred into Kocaeli University system and upon arrival with the approval of the authorities and the student. While preparing the" Erasmus Credit Transfer and Grade Equivalency Table" the ECTS grades are transmitted to Kocaeli University grading system.

Turkish higher education institutions are in the start-up phase about the recognition of non-formal and informal education. However; computer and foreign language skills that students improve on their own, are evaluated through exemption examinations by the university. Students who prove to be proficient in such exams are exempted from related course(s).

Program Competencies

• Have basic, current and applied knowledge about the profession.
• Gains knowledge about occupational health and safety, environmental awareness and quality processes.
• Follows current developments and practices in the field of profession and uses them effectively.
• Uses professionally relevant information technologies (software, programs, animations, etc.) effectively.
• Has the ability to independently evaluate professional problems and issues with an analytical and critical approach and propose solutions.
• Can present his/her thoughts effectively through written and verbal communication at the level of knowledge and skills and expresses them clearly.
• Takes responsibility as a team member to solve unforeseen complex problems encountered in applications related to her/his field.
• Has awareness of career management and lifelong learning.
• It has social, scientific, cultural and ethical values ??in the stages of collecting data related to its field, applying it and announcing the results.
• Follows the information in her field and communicates with her/his colleagues by using a foreign language.
• provides competence in the design, development and maintenance of complex software systems by providing basic software skills such as programming, data structures and algorithms, and object-oriented programming.
• By learning the principles of artificial intelligence and machine learning, they gain the ability to use these technologies to solve real-world problems.
• It provides competence in the design and programming of embedded systems, implementation and automation of robotic systems, allowing them to work in industrial and commercial applications.
• While they gain the ability to analyze digital images using image processing techniques, they also develop knowledge and skills in the field of database management and analytics.
• By teaching project management principles, it develops teamwork and collaboration skills and enables students to gain the competence to successfully manage large-scale projects.

Key Competencies

• The ability to transmit knowledge and opinions verbally and in the written form
• The ability to evaluate knowledge and skills critically
• The ability to work independently and to take responsibilities
• Being inclined to work collaboratively
• The ability to learn and manage to learn
• The ability to use digital literacy skills
• The ability to use a foreign language at the level of professional communication
• The ability to adopt and obey the rules of scientific etiquette
• The ability to take initiative and make attempts in order to turn thoughts into action
• The ability to use the knowledge and skill of scientific research
• The ability to manage and direct work
• The ability to care for social and cultural values
• The ability to use multiple perspectives on different topics
• Mathemetical ability and the ability to use science and technology
• The ability to self-express in the fields that could contribute to personal development (i.e. art, sports, etc.)

EQF/NQF-HETR Relation

Course Structure Diagram with Credits

Examination Regulations, Assessment and Grading

Programme Director or Equivalent

Head of Department: Assistant Prof. Dr. Rıza Emre ERGÜN