Türkçe | English
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of COMPUTER ENGINEERING
Doctorate
Course Catalog
http://ceng.ktu.edu.tr/
Phone: +90 0462 3773157
FBE
GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of COMPUTER ENGINEERING / Doctorate
Katalog Ana Sayfa
  Katalog Ana Sayfa  KTÜ Ana Sayfa   Katalog Ana Sayfa
 
 

FOUNDATION & HISTORY  
The PhD program in Computer Engineering department was established and started accepting students in 2008.
QUALIFICATION AWARDED  
The students who have successfully completed a minimum of 21 local credits (equivalant to 60 ECTS credits) from thought courses delivered within the graduate programme of the department and in related fields, achieved a CGPA of at least 2.00 out of 4.00 and prepared and successfully defended a thesis are given given Doctor of Philosophy Degree (Ph.D) in COMPUTER ENGINEERING
LEVEL of QUALIFICATION:  
Qualifications Frameworks in the European Higher Education Area (QF-EHEA), Level 3
European Qualifications Framework for Lifelong Learning (EQF-LLL), Level 8  
MODE of STUDY  
Full Time
ADMISSION & REGISTRATION REQUIREMENTS  
1 - Master's Degree in acceptable fields,
2 - Sufficient score from the National Academic Staff & Graduate Education Exam (ALES),
3 - English proficiency (500 from TOEFL / 6 from IELTS)
OBJECTIVE of THE PROGRAMME  
The program's goals are to educate graduate students in specific fields of computer science and engineering, to develop students' ability to solve P and NP computer engineering problems using advanced techniques and modern software engineering tools, to develop knowledge in designing, implementing and analyzing results for hardware and software engineering problems, to conduct advanced research in specific areas of computing, to develop efective teaching abilites.
RECOGNATION of PRIOR LEARNING  
The "Directive on Recognition of Prior Learning", Senate Decision No. 340 issued on July 28, 2023, has been accepted and entered into force regarding the students registered in all programs of Karadeniz Technical University to determine the principles to be followed for the recognition, crediting, and adaptation of the achievements acquired by the students at non-university institutions.

In this Directive,

- recognition of knowledge, skills, and competencies acquired with special interest through an exemption exam to be substituted as program courses,
- recognition of workplace and internship experiences through portfolio evaluation to be substituted as program courses,
- and the crediting of certificates received from accredited institutions regarding students' special interests are covered.

Announcements of courses included in the scope of recognition of prior learning, applications, and evaluation will be made on the dates specified in the academic calendar. Recognition of prior learning will offer numerous benefits to our students and employers. For our students, increasing professional development and mobility in the labour market, preventing repetition of education and waste of time, providing early graduation, reducing the cost of learning, encouraging learning, and increasing the student's motivation and self-confidence can be counted among the benefits of recognition of prior learning. From the employers' perspectives, it will contribute to satisfying skill or competence deficiencies in the workplace, reducing the time employees spend outside the workplace for training purposes, and thus using resources more efficiently.
QUALIFICATION REQUIREMENTS and REGULATIONS  
To be able to secure the Doctor of Philosophy Degree (Ph.D) in the field of Computer Engineering, the students are required to; (a) have passed a total of 21 credits (60 ETCS) courses in the curiculum with a grade of at least CC, (b) have achieved a cumulative gross point average of at least 3.00 out of 4.00, (c) prepared a doctora, submitted and successfully defended with a passing grade.
KTU Graduate Education Regulations
EXAMINATION, ASSESSMENT and GRADING REGULATIONS  
The examination, assessment and grading regulations have been set up for the university by the University Senate and the Department of Computer Engineering is bound by these regulations. Each course is assessed via a midterm exam, a second mid-term exam composed of quizzes, homeworks and assignments, and a final end-of-term exam, with contributions of 30%, 20% and 50% respectively. The marking is made out of 100. Grades of 81-100 is assigned a letter grade of AA, 76-80 BA, 70-75 BB, 60-69 CB, 50-59 CC, 45-49 DC, 40-44 DD, 30-39 FD and 0-29 FF. The AA is the highest grade and has a grade credit of 4.00, BA 3.5, BB 3.0, CB 2.5, CC 2.0, DC 1.5, DD 1.0, FD 0.5 and FF 0.0. Grades of AA to CC are pass, DD to FF fail, and DC is conditional pass and requires a CGPA of at least 2.0 for that term. The details given for each course in the programme include the detailed assessment methods together with a description of the second mid-term exam.
GRADUATION REQUIREMENTS  
The students who have successfully completed a minimum of 21 local credits (equivalant to 60 ECTS credits) from thought courses delivered within the graduate programme of the department and in related fields, achieved a CGPA of at least 3.00 out of 4.00 and prepared and successfully defended a thesis are given Doctor of Philosophy Degree (Ph.D) in the field of Computer Engineering
OCCUPATIONAL PROFILES of GRADUATES  
The graduates of the computer engineering department has opportunities of employment in a variety of state and private funded companies. The main state companies where they can work are computer engineering departments of academic instutions as academic staff, IT departments of the companies, banks etc., as IT manager, private funded companies as chief software architect.
ACCESS to FURTHER STUDIES  
-
CONTACT INFORMATION  
Postal Adress: KTÜ Bilgisayar Mühendisliği Bölümü, Kanuni Kampüsü, 61080, Trabzon
Phone: 3773157
Fax: 325 7405
E-Mailbilgisayar@ktu.edu.tr
Web Adresshttp://ceng.ktu.edu.tr/
DEPARTMENTAL FACILITIES : 
There is PC lab of 25 computers that students can use for their projects. Practical applications about the courses can be worked on in this laboratory. Additionally, there are 5 research laboratories where graduate students can perform their academic researches. In addition to that, there are Computer Vision Lab. and Parallel Computing Lab. for graduate students and researchers.