1. THIRD CYCLE - DOCTORATE DEGREE
  2. INSTITUTE OF SCIENCE
  3. COMPUTER ENGINEERING DEPARTMENT
General Information Prog. Learning Outcomes Teaching & Learning Methods Course Structure Course & Learning Outcomes LO - NQF-HETR Relation LO - FOE (Academic) LO - FOE (Vocational)

1285 COMPUTER ENGINEERING PhD

GENERAL INFORMATION
The PhD Program in Computer Engineering is a research-oriented graduate program that integrates advanced theoretical knowledge with applied research. The program aims to provide specialization in contemporary and strategic areas such as algorithms, artificial intelligence, data science, computer networks, software engineering, and intelligent systems. Following the coursework phase, students conduct original doctoral research that contributes to the scientific literature. Throughout the program, students develop the ability to perform independent research, produce scientific publications, design research projects, and work in interdisciplinary environments. Academic ethics, critical thinking, and innovative problem-solving are core components of the program. Graduates are equipped to pursue careers as academics in universities, researchers in scientific institutions, or specialists in advanced technology industries.

Objective
The aim of the PhD program in Computer Engineering is to educate qualified researchers who possess deep theoretical knowledge, are capable of conducting independent research, and can produce original scientific contributions. The program seeks to equip students with advanced analytical thinking skills, the ability to critically evaluate emerging technologies, and the competence to develop innovative solutions to complex engineering problems. It also aims to train academics and professionals who adhere to ethical values, can work in interdisciplinary environments, and are able to transform knowledge production into societal and industrial benefits.

Admission Requirements
Announcements regarding current conditions are available on the institute’s website. ALES; YDS/YÖKDİL; Graduate Grade

Graduation Requirements
Graduate coursework must be completed successfully. After the coursework phase, the thesis study must be conducted under the supervision of the assigned advisor and submitted accordingly. In addition, the thesis must be presented orally and successfully defended before an appointed jury.

Career Opportunties
Graduates of computer engineering have a wide range of career opportunities in areas such as software development, artificial intelligence, data science, cybersecurity, network and system administration, embedded systems, game technologies, financial technologies, and academic research. They may work in public institutions, private companies, technology firms, or pursue careers as entrepreneurs.

Qualification Awarded
Computer Engıneerıng

Level of Qualification
Third Cycle (Doctorate Degree)

Recognition of Prior Learning
A successful student who has completed at least one semester in another institution / department of the university or another post-graduate program of another higher education institution may be admitted to the post-graduate programs by horizontal transfer. The conditions for acceptance by horizontal transfer are determined by the Senate.

Qualification Requirements and Regulations
Graduate coursework must be completed successfully. After the coursework phase, the thesis study must be conducted under the supervision of the assigned advisor and submitted accordingly. In addition, the thesis must be presented orally and successfully defended before an appointed jury.

Access to Further Studies
A student graduated with a good PhD Degree may carry on an academic carrier as a lecturer or post doctorate researcher.

Mode of Study
Full Time

Examination Regulations, Assessment and Grading
Measurement and evaluation methods that is applied for each course, is detailed in "Course Structure&ECTS Credits".

Contact (Programme Director or Equivalent)
PositionName SurnamePhoneFaxE-Mail
HEAD OF THE DEPARTMENT OF INSTITUTEProf. Dr. TUFAN TURACI  tturaci@pau.edu.tr


PROGRAM LEARNING OUTCOMES
1Possess advanced theoretical and applied knowledge in computer engineering and apply this knowledge in original research.
2Plan and conduct independent research and analyze findings using scientific methods.
3Develop innovative and ethical solutions to complex engineering problems.
4Act effectively in interdisciplinary collaborations and transform knowledge into societal and industrial benefits.
5Communicate research outcomes effectively in written and oral forms in international academic settings.
TEACHING & LEARNING METHODS

PO - NQF-HETR Relation
NQF-HETR CategoryNQF-HETR Sub-CategoryNQF-HETRLearning Outcomes
INFORMATION  01
INFORMATION  02
SKILLS  01
SKILLS  02
SKILLS  03
SKILLS  04
COMPETENCIESCommunication and Social Competence 01
COMPETENCIESCommunication and Social Competence 02
COMPETENCIESCommunication and Social Competence 03
COMPETENCIESCompetence to Work Independently and Take Responsibility 01
COMPETENCIESCompetence to Work Independently and Take Responsibility 02
COMPETENCIESCompetence to Work Independently and Take Responsibility 03
COMPETENCIESField Specific Competencies 01
COMPETENCIESField Specific Competencies 02
COMPETENCIESField Specific Competencies 03
COMPETENCIESLearning Competence 01
    

PO - FOE (Academic)
No Records to Display

PO - FOE (Vocational)
No Records to Display

COURS STRUCTURE & ECTS CREDITS
Year :
Course Plan

1st Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
FBE 610 METHODS OF RESEARCH AND ETHICS 3+0 7,5 Compulsory
- Computer Engineering Elective-1 3+0 7,5 Elective
- Computer Engineering Elective-1 3+0 7,5 Elective
- Computer Engineering Elective-1 3+0 7,5 Elective
  Total 30  
1st Semester Elective Groups : Computer Engineering Elective-1

2nd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 698 DOCTORATE SEMINAR - I 0+2 15 Compulsory
- Computer Engineering Elective-2 3+0 7,5 Elective
- Computer Engineering Elective-2 3+0 7,5 Elective
  Total 30  
2nd Semester Elective Groups : Computer Engineering Elective-2

3rd Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 699 DOCTORATE SEMINAR - II 0+2 15 Compulsory
- Computer Engineering Elective-1 3+0 7,5 Elective
- Computer Engineering Elective-1 3+0 7,5 Elective
  Total 30  
3rd Semester Elective Groups : Computer Engineering Elective-1

4th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
ENS 600 PROFICIENCY EXAM PREPARATION 0+0 20 Compulsory
ENS 602 THESIS PROPOSAL PREPARATION 0+0 10 Compulsory
  Total 30  

5th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 600 THESIS 0+0 20 Compulsory
CENG 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

6th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 600 THESIS 0+0 20 Compulsory
CENG 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

7th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 600 THESIS 0+0 20 Compulsory
CENG 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  

8th Semester Course Plan
Course CodeCourse TitleL+P HourECTSCourse Type
CENG 600 THESIS 0+0 20 Compulsory
CENG 800 PHD EXPERTISE FIELD COURSES 8+0 10 Compulsory
  Total 30  


COURSE & PROGRAM LEARNING OUTCOMES
Year :
Numerical Verbal The Presence of Relationship
Compulsory Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05
DOCTORATE SEMINAR - IC*****
DOCTORATE SEMINAR - IIC*****
METHODS OF RESEARCH AND ETHICSC*****
PHD EXPERTISE FIELD COURSESC*****
POSTGRADUATE COUNSELINGC     
PROFICIENCY EXAM PREPARATIONC*****
THESISC*****
THESIS PROPOSAL PREPARATIONC*****
Click to add elective courses...
Elective Courses
Course TitleC/EPO 01PO 02PO 03PO 04PO 05
ADVANCED DATA MINING TECHNIQUESE*****
ADVANCED DISTRIBUTED ALGORITHMSE*****
ADVANCED GRAPH THEORYE*****
ADVANCED SCIENTIFIC COMPUTINGE*****
ALGORITHMS IN QUANTUM COMPUTINGE*****
APPLIED MACHINE LEARNING FOR CYBERSECURITYE*****
AUTONOMOUS ROBOT BASICS AND APPLICATIONSE*****
BIG DATA SYSTEMSE*****
BLOCKCHAIN SECURITY AND APPLICATIONSE*****
DATA ANALYSIS IN IOTE*****
DATA MANAGEMENTE*****
DATA SCIENCEE*****
DIGITAL FORENSICSE*****
EMBEDDED SYSTEMS PROGRAMMINGE*****
EXTREMAL PROBLEMS IN GRAPHSE*****
GRAPH THEORY AND COMPLEX NETWORKSE*****
INDUSTRIAL CYBERSECURITYE*****
INTELLIGENT CONTROL SYSTEMSE*****
INTELLIGENT OPTIMIZATION TECHNIQUESE*****
MATHEMATICAL MODELING OF BIOLOGICAL SYSTEMSE*****
NONLINEAR DYNAMICS AND CHAOSE*****
ROBOT MOTION PLANNING AND CONTROLE*****
SOFTWARE PROCESS IMPROVEMENTE*****
SYSTEM IDENTIFICATIONE*****
L+P: Lecture and Practice
C: Compulsory
E: Elective
PO: Program Learning Outcomes
TH [5]: Too High
H [4]: High
M [3]: Medium
L [2]: Low
TL [1]: Too Low
None [0]: None
FOE [0]: Field of Education
NQF-HETR : National Qualifications Framework For Higher Education in Turkey