The Robotics and Artificial Intelligence Program is a level 5 associate degree program that aims to train qualified technicians who possess technical knowledge and skills in robotics, embedded systems, artificial intelligence algorithms, data analytics, and automation, and who can produce innovative solutions needed by industry.
The purpose of this program is to produce graduates who possess fundamental and applied knowledge in robotics and artificial intelligence technologies, who can follow technological developments, produce practical solutions, and contribute to the development of relevant systems.
The program aims to develop well-equipped individuals for professional life by providing students with knowledge and skills in robotic systems, artificial intelligence applications, embedded systems, sensor technologies, and autonomous systems.
Students who successfully complete the program are eligible to receive an Associate Degree in Robotics and Artificial Intelligence.
This program is a program that provides education at the associate degree level.
In accordance with regulations set by the Council of Higher Education (YÖK), student admission to this program is through an exam administered by the Student Selection and Placement (ÖSYS) Center. After students submit their program preferences, they are placed in the relevant programs by this center based on their scores on this exam. Graduates of vocational high schools related to their field of study can also enroll in the program without taking an exam, in accordance with the rules set by YÖK and ÖSYS.
International students are admitted to this program based on internationally recognized exam results such as the SAT and ACT, or their secondary school graduation grades (Regulations for Admission of Foreign Students for Associate and Undergraduate Degree Programs).
Admission to programs with a General Academic Exchange Protocol is made through bilateral agreements (such as ERASMUS, FARABI, etc.) signed between Düzce University and the partner university. Guest students may enroll in courses offered in this program upon approval by the relevant academic unit. Language proficiency sufficient to follow the program is required.
Students studying at Düzce University may be exempt from certain courses, subject to specific regulations. A student may be exempt from a course taken at another institution if its content aligns with the content of the course offered at Düzce University and is approved by the relevant faculty/institute/college board.
It is an associate degree program that aims to provide level 5 professional and academic qualifications.
| No | Program Requirements |
|---|---|
| 1 | Possess basic, current, and applied knowledge related to their profession. |
| 2 | Possess knowledge of occupational health and safety, environmental awareness, and quality processes. |
| 3 | They follow and effectively utilize current developments and practices in their profession. |
| 4 | They effectively use information technologies (software, programs, animation, etc.) related to their profession. |
| 5 | They possess the ability to independently evaluate professional problems and issues with an analytical and critical approach and to propose solutions. |
| 6 | They can effectively present their thoughts and ideas in written and oral communication, based on their level of knowledge and skills, and express themselves clearly. |
| 7 | As a team member, they take responsibility for solving complex and unforeseen problems encountered in applications related to their field. |
| 8 | They have awareness of career management and lifelong learning issues. |
| 9 | It possesses social, scientific, cultural, and ethical values in the stages of data collection, application, and dissemination of results related to its field. |
| 10 | They use a foreign language to keep up with developments in their field and communicate with colleagues. |
| 11 | They possess fundamental knowledge and skills in robot design and programming. |
| 12 | They are proficient in artificial intelligence algorithms, machine learning, and data analytics. |
| 13 | It develops innovative solutions to real-world problems. |
| 14 | They reinforce theoretical knowledge through laboratory work and projects. |
Program graduates can work as 'Robotics and Artificial Intelligence Technician' in many fields such as robotic production lines, artificial intelligence-supported systems, automation companies, R&D centers, software and technology companies.
Graduates can transfer to undergraduate programs such as Electrical-Electronics Engineering, Computer Engineering, and Mechatronics Engineering with the Vertical Transfer Exam (DGS).
The program is two years long and consists of four semesters. Students must successfully complete courses worth 97 national credits and 120 ECTS credits and complete one semester of professional training in businesses.
Exams; There are eight types of midterm exams, make-up exams, final exams, makeup exams, summer exams, additional exams, exemption exams and single exams. Exams; Written, oral and / or practical. Students who can not take a midterm exam due to health, natural disaster and other excuses accepted by the relevant board of directors; They must submit their health reports or other excuse documents to the faculty / college secretariat within three days by mail, within one week, for the acceptance of their excuses. The report or other excuse documents shall be lodged in the first relevant governing body to be held. There is no make-up examination for make-up and make-up exams.
Students who do not attend classes in the semester are given a DVZ grade and their list is announced by the department head before the final exam. These students can not take the final exam.
The grades of the course, which are calculated according to the previously announced principles together with the midterm and final exam results, are announced to the students by the relevant instructor and registered to the lists on the internet within the periods specified in the academic calendar. An example of these lists is submitted to the department chair for signing.
At the end of the final exams, students failing to take FD grades from some courses may take the makeup exams of these courses. If the student fails to take FD from the final exam, the make-up exam is done two weeks after the final exam.
Principles of grading and conditions of success
Old regulation students; Midterm examinations and final examinations grades are taken into consideration as indicated in the lesson plan submitted by the lecturer to the department head at the beginning of the semester and the grade and grade of the course are evaluated.
The letter grades and coefficients corresponding to the achievement scores are determined as follows:
Success Point Letter Noto Coefficient Achievement Grade Not Included Notes
90-100 AA 4.0 Well YT Adequate
85- 89 BA 3.5 Good-Fair YZ Insufficient
80-84 BB 3.0 Good
75- 79 CB 2.5 Moderate-Good
65-74 CC 2.0 Medium
60-64 DC 1.5 Pass-through
55- 59 DD 1.0 Pass
45- 54 FD 0.5 Not Applicable - Weak
44 and below FF 0 Very Poor
EKS 0 / Missing
DVZ 0 / No
MEKS 0 / Excuseful missing
New regulation students; Midterm examinations and final examinations grades are taken into consideration as indicated in the lesson plan submitted by the lecturer to the department head at the beginning of the semester and the grade and grade of the course are evaluated.
The letter grades and coefficients corresponding to the achievement scores are shown in the following table:
Success Point Letter Noto Coefficient Success Grade
90-100 AA 4.00 Pekiyi
85- 89 BA 3.50 Good-Bye
80-84 BB 3.25 Good
70- 79 CB 3.00 Moderate-Good
60-69 CC 2.50 Medium
55- 59 DC 2.25 Pass-through
50- 54 DD 2.00 Pass
40-49 FD 1.50 does not pass
39 and lower F 0 / Not applicable
EKS 0 / Missing
DVZ 0 / No
MEKS 0 / Excuseful missing
MUAF 0 / sufficient
Notes Not Average
YT Adequate
YZ Insufficient
To succeed in a dersten, the grade of the course must be at least DD or higher.
The student can not take the course he / she took for the makeup exam in summer education. When the student who participated in the make-up exam is assigned a success grade for the course, a make-up exam grade is used instead of the final grade. Any course can not take the student's makeup exam, which does not have the right to take the final exam. Semester examinations, make-up examinations and additional examinations are held within the periods specified in the academic calendar accepted by the Senate.
To graduate from the Robotics and Artificial Intelligence Program, students must complete 97 national credits, 20 of which must be elective courses. The total number of ECTS credits is 30 per semester, for a total of 120. The duration of study in the Robotics and Artificial Intelligence Program is two years. Students must have successfully completed all courses specified in the curriculum for three semesters and completed all the work stipulated in this Regulation and other relevant legislation. Additionally, students must have successfully completed one semester of vocational training in business administration to graduate. They must have a minimum GPA of 2.00 and have completed all other required courses.
Full-time
