Introduction
Programme Profile
Today, the importance of smart systems that can analyze digital data, reach correct results and take action is increasing rapidly. The analysis of real-time data with algorithmic techniques and engineering principles and their use in decision making create new and interesting research areas. GSU Smart Systems Engineering Master's Program aims to provide students who have completed their engineering education with a broad perspective and skills on the algorithms, technologies and methods required to design and develop Smart Systems.
We are in the process of industry transformation where all types of systems and devices will become smart. For this reason, the Smart Systems Engineering perspective and skill has become a great need, especially for the industry that is trying to catch up with the transformation. Moreover, intelligent methods have become necessary for solving different problems among many disciplines. This program aims to address the high interest in the field and the future requirements for graduates in the field and to contribute to the successful transformation of Industry 4.0 in our country.
Qualification Awarded
Students who successfully complete this program are entitled to receive a Master of Science Degree in Smart Systems Engineering.
Level of Qualification
In this program, education is given at the graduate level.
Access Requirements
To have a bachelor's degree in Engineering from Universities whose equivalence is recognized by the Council of Higher Education; to get at least 70 points from ALES (Academic Personnel and Graduate Education Entrance Exam) Quantitative Section or to get at least 153 points from the GRE (Graduate Record Examination) Quantitative Section; to have at least 84 points from the internet-based system of the TOEFL exam or at least 70 points out of 100 from the YDS/YÖKDİL (French or English) exam, or to have a DELF B2 level certificate.
Programme Requirements and Regulations
Smart Systems Engineering Master's Program consists of a total of at least 120 ECTS credits, including at least eight (8) courses and a seminar course not less than 60 ECTS credits in total, and a master's thesis not less than 60 ECTS credits in total.
Recognition of Prior Learning
In case the course content of the student from another institution is in accordance with the content of a course in the program he/she is enrolled in, he/she submits a sample of the approved course content taken from the institution and applies with a petition, upon the recommendation of the advisor or program coordinator, the positive opinion of the relevant Department Presidency and the Institute Administrative Board's approval. , the student may be exempted from this course.
Programme Outcomes
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Occupation Profiles of Graduates
Access to Further Studies
Grading Scheme and Grade Distribution Guidance
(1) The success grade of a course is calculated according to the weighted average of the midterm exam grades and the grades in the other semester studies, if any, and the grades taken in the final or make-up exam.
(2) Success grades are expressed in letters by the faculty members, taking into account the statistical distribution of grades and the general success status of the students. Success grades and their coefficients are as follows:
Success Grade Numeric Value
AA 4.00
BA 3.50
BB 3.00
CB 2.50
CC 2.00
F 0.00
(3) Students who do not fulfill their attendance requirements are given an IA grade; this grade is treated as an F grade in the grade point averages calculation. Students with an IA grade must fulfill their attendance obligations when they repeat the course.
(4) Students who do not take the final or make-up exam are given an NP grade regardless of their work during the semester; This grade is treated as an F grade in the grade point averages calculation.
(5) Success level in courses such as seminars and term projects and also in thesis studies is evaluated with P (pass) and F (fail).
(6) In order for the student to be successful in a course in graduate education, the semester grade must be at least CC or P for each course. A grade of F is given to the student for the courses that he/she fails at the end of a semester. A student who fails a compulsory or elective course repeats the same course or a different course deemed appropriate by his/her advisor.
(7) The weighted grade point average is calculated by summing up the products of success grade coefficient values and the ECTS credits of all courses taken by a student, and dividing the total obtained by the total ECTS credits taken by the student. Applied courses such as seminars and term projects, and thesis studies whose success levels are evaluated with P and F, are not included in the weighted grade point average calculation.
Mode of Study
Communication
Head of Department (or equivalent): Professor Orhan FEYZIOGLU
Adress:
Telephone:
E-Mail: