Program Information
Amaç
Objective: The Robotics and Artificial Intelligence Program aims to train qualified technicians who can meet the expectations of the rapidly digitalizing industry and technology world, and who are capable of actively contributing to autonomous systems and software processes after completing their education. In line with this objective, the educational goals of the program are defined as follows: • To ensure that graduates acquire the knowledge and skills necessary to understand basic electronics, circuit theory, and programming logic, enabling them to integrate hardware and software systems. • To train graduates who can effectively use industry-standard programming languages such as Python and C, and integrate artificial intelligence algorithms and data structures into autonomous systems. • To develop innovative individuals who adhere to professional ethics, value data privacy, and continuously follow emerging technologies to add value to projects. • To cultivate professionals who can work efficiently in multidisciplinary engineering teams by utilizing communication, analytical thinking, and problem-solving skills, and who are capable of career planning. Starting from the 2026–2027 academic year, our students gain professional experience in a real-world working environment before graduation by spending their final semester in industry as part of the 3+1 education model.Kazanılan Derece
Short Cycle (Associate's Degree)Kayıt ve Kabul Koşulları
Admission is based on the Higher Education Institutions Examination (YKS) results within the TYT score category. Applicants must hold a high school diploma or its equivalent.Mezuniyet Koşulları
To graduate from the Robotics and Artificial Intelligence Program, students must complete a total of 120 ECTS credits, with at least 25% of these credits earned from elective courses within and outside their field of study. In addition, students must successfully complete all theoretical and practical courses required by the program and fulfill their compulsory internship requirements in accordance with the specified duration and conditions. Students Subject to the 4+0 Education Model Students who enrolled in the program before the 2026–2027 Academic Year must successfully complete all theoretical and practical courses required by the program and fulfill their compulsory summer internships in accordance with the specified duration and conditions. Students Subject to the 3+1 Education Model Students who enroll in the program starting from the Fall Semester of the 2026–2027 Academic Year must successfully complete all theoretical and practical courses offered during the first three semesters and successfully fulfill the compulsory, full-time Workplace-Based Vocational Training conducted in the fourth semester, in accordance with the specified duration and conditions. In addition to these requirements, students must have a minimum Cumulative Grade Point Average (CGPA) of 2.00 to be eligible for graduation, in accordance with the provisions of the Ankara Medipol University Associate Degree and Undergraduate Education, Teaching, and Examination Regulations.Önceki Öğrenimin Tanınması
Courses previously taken by students at another higher education institution may be evaluated for exemption by the relevant administrative board. Course adaptations for students arriving via Vertical or Horizontal Transfer are conducted within the framework of university regulations.Ders Planı- AKTS Kredileri
* Bu ders planı tablosunda gösterilen dersler öğrenci işlerindeki güncel ders plan bilgilerini göstermektedir.
** İlgili dönemde zorunlu dersler mutlaka açılırken, seçmeli ve programa bağlı seçmeli derslerin açılması tercih ve kontenjan durumuna bağlı olarak değişkenlik gösterebilir.
*** Mesleki klinik derslerin teorik ve uygulama ders saatleri, haftalık değil toplam ders saatini ifade etmektedir.
Her hangi bir dersin amaç, öğrenme kazanımları vs. detay bilgilerini görmek için aşağıdaki tabloda dersin ismine tıklayınız.
| 1. Yarıyıl Ders Planı (Güz Dönemi) | ||||||
| Kodu | Ders | Dil | T+U | UK | AKTS | İndir |
| RYZ1122291 | BASIC MATHEMATICS | Türkçe | 3 | 3 | 4 | |
| RYZ1122292 | DATA STRUCTURES AND ALGORITHMS | Türkçe | 2+2 | 3 | 5 | |
| RYZ1122293 | PHYSICS I | Türkçe | 3 | 3 | 5 | |
| RYZ1122294 | COMPUTER HARDWARE | Türkçe | 2+2 | 3 | 5 | |
| RYZ1122295 | INFORMATION TECHNOLOGIES AND TOOLS | Türkçe | 2 | 2 | 3 | |
| ATA1110008 | ATATURK'S PRINCIPLES AND HISTORY OF REVOLUTION I | Türkçe | 2 | 2 | 2 | |
| İNG1110140 | ENGLISH I | İngilizce | 2 | 2 | 2 | |
| TDL1110139 | TURKISH LANGUAGE I | Türkçe | 2 | 2 | 2 | |
| 2. Yarıyıl Ders Planı (Bahar Dönemi) | ||||||
| Kodu | Ders | Dil | T+U | UK | AKTS | İndir |
| RYZ1222296 | INTRODUCTION TO PROGRAMMING | Türkçe | 2+2 | 3 | 5 | |
| RYZ1222297 | BASIC ELECTRONICS | Türkçe | 3 | 3 | 4 | |
| RYZ1222298 | PHYSICS II | Türkçe | 3 | 3 | 3 | |
| RYZ1222299 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE | Türkçe | 2+2 | 3 | 5 | |
| RYZ1222300 | SUMMER INTERNSHIP | Türkçe | 0+12 | 3 | 5 | |
| ATA1210184 | ATATURK'S PRINCIPLES AND HISTORY OF REVOLUTION II | Türkçe | 2 | 2 | 2 | |
| İNG1210187 | ENGLISH II | İngilizce | 2 | 2 | 2 | |
| TDL1210179 | TURKISH LANGUAGE II | Türkçe | 2 | 2 | 2 | |
Program Yeterliliği
Theoretical, Factual
Uses basic mathematics, programming, and electronics knowledge effectively in robotics and artificial intelligence applications.
Identifies the basic components of robotic systems, such as sensors, actuators, and control units, and performs and operates their hardware setups.
| Program Çıktısı TYYÇ Temel Alan Matrisi | |
| Temel Alan Yeterliliği | Program Yeterliliği |
| KNOWLEDGE | |
| Theoretical, Factual | |
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2 - Identifies the basic components of robotic systems, such as sensors, actuators, and control units, and performs and operates their hardware setups. 1 - Uses basic mathematics, programming, and electronics knowledge effectively in robotics and artificial intelligence applications. | |
| SKILLS | |
| Cognitive, Practical | |
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6 - Collects and analyzes data obtained from sensors and interprets them according to system operation. 9 - Produces basic-level solutions to hardware and software technical problems encountered and performs debugging operations. | |
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3 - Develops basic-level programs on microcontroller platforms and performs hardware integration. 4 - Designs and implements basic algorithms using programming languages commonly used in the field. 5 - Develops artificial intelligence applications using basic machine learning methods and carries out testing processes. | |
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7 - Sets up basic control systems and evaluates system performance according to relevant standards. 9 - Produces basic-level solutions to hardware and software technical problems encountered and performs debugging operations. | |
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6 - Collects and analyzes data obtained from sensors and interprets them according to system operation.
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| COMPETENCIES | |
| Ability to work independently and take responsibility | |
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8 - Takes individual initiative in the planning, development, and testing processes of robotics and automation projects; assumes responsibility by taking an active role in multidisciplinary teamwork.
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| Learning Competence | |
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12 - Follows current developments in robotics and artificial intelligence with lifelong learning awareness and continuously improves oneself. 13 - Uses at least one foreign language at a level sufficient to follow innovations in the field and communicate at a basic level (European Language Portfolio A2 General Level). | |
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12 - Follows current developments in robotics and artificial intelligence with lifelong learning awareness and continuously improves oneself. 15 - Evaluates the social, environmental, and economic impacts of robotics and artificial intelligence technologies at a basic level; has knowledge of entrepreneurship, innovation, and sustainability concepts and reflects them in professional processes. | |
| Communication and Social Competence | |
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14 - Uses information and communication technologies required by the field effectively at the Basic Level of the European Computer Driving Licence.
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13 - Uses at least one foreign language at a level sufficient to follow innovations in the field and communicate at a basic level (European Language Portfolio A2 General Level).
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10 - Expresses thoughts on professional matters verbally and in writing; reads and understands technical documents related to the field.
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| Field-based Competence | |
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15 - Evaluates the social, environmental, and economic impacts of robotics and artificial intelligence technologies at a basic level; has knowledge of entrepreneurship, innovation, and sustainability concepts and reflects them in professional processes. 11 - Acts in accordance with ethical rules, quality processes, and occupational health and safety standards in professional practices. | |
İstihdam Olanakları
Graduates of the Robotics and Artificial Intelligence Program may find employment opportunities in software and information technology companies, technology development zones (technoparks), research and development (R&D) centers, and organizations operating in the fields of industrial automation and smart manufacturing systems. They may also work in companies operating in the defense industry, autonomous systems, electronic hardware, and data analytics, undertaking responsibilities such as the installation, programming, testing, maintenance, and technical support of robotic systems. Depending on their knowledge and skills, graduates may be employed as technical personnel in artificial intelligence applications, robotic systems, and software support processes. In addition to employment opportunities in the private sector, graduates may also apply for suitable positions in public institutions and organizations, provided that they meet the graduation and qualification requirements specified in the relevant public personnel recruitment announcements and obtain the required score in the Public Personnel Selection Examination for Associate Degree Graduates (KPSS Ön Lisans).Üst Dereceye Geçiş
Robotik ve Yapay Zekâ Programı mezunları, Ölçme, Seçme ve Yerleştirme Merkezi (ÖSYM) tarafından düzenlenen Dikey Geçiş Sınavı (DGS) aracılığıyla ilgili lisans programlarına geçiş yapabilirler. 2026-DGS Kılavuzu'na göre mezunlarımız; Elektrik-Elektronik Mühendisliği, Elektronik Mühendisliği, Elektronik ve Haberleşme Mühendisliği ve Mekatronik Mühendisliği lisans programlarını tercih edebilmektedir. Dikey geçiş yapılabilecek programlar, ilgili yılın ÖSYM kılavuzuna göre değişiklik gösterebilir. Mühendis unvanı, geçiş yapılan mühendislik lisans programının başarıyla tamamlanmasıyla kazanılır. 3+1 ve 4+0 modellerinden mezun olan öğrencilerin dikey geçiş hakları aynıdır. • ÖSYM – 2026-DGS Tablo-2: Ön Lisans Mezuniyet Alanlarına Göre Dikey Geçiş Yapılabilecek Lisans Programları • ÖSYM – 2026-DGS Tercih Bilgileri ve TablolarEğitim Türü
Full TimeÖlçme ve Değerlendirme
The assessment methods applied for each course (Midterm exams, final exams, assignments, projects, and laboratory performance) are defined in the specific course description forms. The final grade is typically calculated as 40% of the midterm and 60% of the final exam.Bölüm/Program Başkanı
Head Of Department
Öğr.Gör. Parısa EBRAHIMPOUR MOGHADDAM TASOUJProgramme Director
Öğr.Gör. Sinem UYSALÖğrenme Durumları
Öğrenme durumları öğrencilerin yaratıcı, eleştirel, yansıtıcı düşünme becerilerini mantıksal, matematiksel düşünme becerileri gibi üst düzey düşünme becerilerini geliştirmeyi hedefler. Bunun yanında öğrencilerin meta-bilişsel becerilerini geliştirmeyi hedefler. Öğrenme durumları öğrenme stratejileri, yöntemleri, tekniklerinin yanında kullanılan araç gereçler ile ölçme değerlendirme yöntemlerini kapsamaktadır. Programlarda kullanılan öğrenme durumları aşağıdaki listede verilmiştir:
Öğrenme Durumları * | Başlıca öğrenme faaliyetleri | Kullanılan Araçlar |
|---|---|---|
Question–Answer Technique | Asking questions, critically evaluating responses, generating questions and answers, providing critique, analyzing and assessing creative responses, asking structured questions and producing answers, and asking closed-ended questions and generating responses. | Course textbooks, recommended readings, worksheets, question banks, and multimedia tools (text, images, graphics, drawings, audio, video, cartoons, and animations) are utilized. |
Multiple Choice Exam | ||
Case Studies | ||
Discussion Method | Listening, speaking, questioning, generating responses, developing opinions and inquiry, examining and researching viewpoints, producing critical thinking, and fostering creative thinking. | tandard classroom technologies, multimedia tools (text, images, graphics, drawings, audio, video, and animations), computers, projectors, online environments, conference halls, and workshops are utilized. |
Lecture Method | Listening and speaking activities are emphasized, and techniques such as direct instruction, conferences, seminars, speeches, statements, and briefings are applied. | |
Computer and Internet-Supported Instruction | Computer and internet-supported instruction involves the integration of online learning platforms, e-books and digital content, webinars and live classes, applications and simulations, digital game-based learning, adaptive learning systems, virtual and augmented reality applications, social media and interactive platforms, data analysis and monitoring tools, and artificial intelligence technologies into the educational process. These tools provide interactive and technology-enhanced learning environments aimed at developing students’ communication, collaboration, analytical and critical thinking, problem-solving, decision-making, and creative thinking skills. They also enable instructors to share course materials, monitor student performance, and manage learning processes more effectively. | |
Project Assignment | Identifying the application context of the problem, collecting and analyzing data, conducting a literature review, preparing reports/presentations, and delivering them. | Internet databases, library databases, course textbooks, and supplementary books are utilized. |
Project-Based Learning Model | Developing real-life problem scenarios, identifying real-world problems, collecting data related to the problem, analyzing, processing, and transforming data, generating alternative solution proposals, selecting the most appropriate solution method, implementing the solution, and producing a model/design/tangible product or service; evaluating the model/design/product/service, and presenting project outputs. | Problem scenario texts, sample projects, databases, books, research reports, laboratories, workshops, application areas, libraries, computer software, standard classroom technologies, and project-specific tools and materials are utilized. |
Written Examination | ||
Written Examination | written exams are used to assess creative, critical, and reflective thinking. In addition, multiple-choice and short-answer exams (including fill-in-the-blank, matching, true/false, and similar formats) are conducted to evaluate cognitive skills such as knowledge, comprehension, application, and analysis. | Written exam papers, multiple-choice tests, short-answer tests, mixed-format tests, and answer keys are utilized. |
Ders - Program Yeterlilikleri İlişkileri
| Ders | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ARTIFICIAL INTELLIGENCE APPLICATIONS | 3 | 0 | 1 | 4 | 5 | 5 | 0 | 1 | 3 | 0 | 3 | 2 | 0 | 4 | 3 |
| ATATURK'S PRINCIPLES AND HISTORY OF REVOLUTION I | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 |
| ATATURK'S PRINCIPLES AND HISTORY OF REVOLUTION II | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 2 |
| BASIC ELECTRONICS | 5 | 5 | 3 | 1 | 1 | 2 | 2 | 1 | 3 | 0 | 2 | 1 | 1 | 1 | 1 |
| BASIC MATHEMATICS | 5 | 2 | 2 | 3 | 2 | 3 | 3 | 1 | 3 | 0 | 1 | 2 | 1 | 1 | 1 |
| COMPUTER HARDWARE | 3 | 5 | 4 | 1 | 1 | 1 | 2 | 2 | 4 | 0 | 1 | 1 | 1 | 3 | 1 |
| DATA STRUCTURES AND ALGORITHMS | 2 | 1 | 4 | 5 | 1 | 2 | 1 | 1 | 4 | 0 | 1 | 1 | 1 | 3 | 1 |
| DEEP LEARNING APPLICATIONS | 3 | 0 | 0 | 4 | 5 | 4 | 0 | 1 | 3 | 0 | 0 | 2 | 0 | 4 | 0 |
| ENTREPRENEURSHIP AND INNOVATION | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 2 | 0 | 1 | 2 | 0 | 1 | 5 |
| GRADUATION PROJECT | 4 | 3 | 3 | 4 | 3 | 4 | 3 | 5 | 4 | 0 | 1 | 3 | 0 | 4 | 1 |
| IMAGE PROCESSING | 3 | 0 | 0 | 4 | 2 | 4 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 4 | 0 |
| INFORMATION TECHNOLOGIES AND TOOLS | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 2 | 1 | 0 | 5 | 1 |
| INTRODUCTION TO ARTIFICIAL INTELLIGENCE | 3 | 0 | 2 | 5 | 5 | 2 | 0 | 1 | 2 | 0 | 3 | 2 | 0 | 3 | 4 |
| INTRODUCTION TO PROGRAMMING | 5 | 1 | 2 | 5 | 1 | 3 | 2 | 3 | 5 | 0 | 2 | 3 | 4 | 5 | 2 |
| INTRODUCTION TO ROBOTIC SYSTEMS | 3 | 5 | 3 | 1 | 0 | 2 | 3 | 1 | 2 | 0 | 3 | 1 | 0 | 1 | 2 |
| LOT-BASED AUTOMATION SYSTEMS | 4 | 4 | 5 | 3 | 0 | 4 | 4 | 1 | 3 | 0 | 3 | 1 | 0 | 4 | 0 |
| MICROCONTROLLERS | 4 | 4 | 5 | 4 | 0 | 3 | 3 | 1 | 4 | 0 | 1 | 1 | 0 | 3 | 0 |
| MOBILE ROBOTS AND AUTONOMOUS SYSTEMS | 4 | 5 | 2 | 4 | 1 | 4 | 5 | 1 | 4 | 0 | 0 | 1 | 0 | 3 | 0 |
| MODEL TRAINING AND OPTIMIZATION TECHNIQUES IN ARTIFICIAL INTELLIGENCE | 3 | 0 | 0 | 4 | 5 | 5 | 0 | 1 | 4 | 0 | 0 | 2 | 0 | 4 | 0 |
| OCCUPATIONAL HEALTH AND SAFETY | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 5 | 1 | 0 | 0 | 2 |
| PHYSICS II | 4 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 |
| ROBOT PROGRAMMING (ROS BASICS) | 3 | 5 | 1 | 1 | 0 | 2 | 3 | 1 | 2 | 0 | 3 | 1 | 0 | 1 | 2 |
| ROBOTIC CONTROL WITH PYTHON | 4 | 4 | 3 | 5 | 0 | 4 | 5 | 1 | 4 | 0 | 1 | 1 | 0 | 4 | 0 |
| SENSOR AND ACTUATOR TECHNOLOGIES | 4 | 5 | 4 | 2 | 0 | 5 | 3 | 1 | 3 | 0 | 1 | 1 | 0 | 2 | 0 |
| STATISTICS AND PROBABILITY | 4 | 0 | 0 | 1 | 3 | 4 | 1 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 |
| SUMMER INTERNSHIP | 3 | 3 | 3 | 4 | 2 | 2 | 2 | 5 | 5 | 0 | 5 | 3 | 1 | 4 | 2 |
| TURKISH LANGUAGE I | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 |
| İlişkili Ders Sayısı / 27/38 | 81 | 56 | 48 | 67 | 39 | 69 | 45 | 35 | 72 | 43 | 41 | 10 | 66 | 34 |