COMPUTER ENGINEERING (ENGLISH, PHD)


Profile of the Program

Computer engineering Ph.D. program aims at graduating 1) Productive and innovative researchers who closely follow new technologies needed by the industry and scientifically contribute to their related technical fields, 2) University professors needed by Turkey 3) Professionals who are expert on the analysis, planning and management of large-scale information systems.

Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Computer Engineering

Level of Qualification

This is a program.

Specific Admission Requirements

Those who have an undergraduate or master's degree in a related engineering fieds could directly start our Ph.D. program. Others should first take scientific preparation courses before starting the Ph.D. program in computer engineering. For being accepted tp the Ph.D. program in computer engineering, they should have graduated from their prior undergraduate or mester's program with a minimum GPA of 2.75. A minimum ALES quantitative score of 60, or GRE quantitative score of 635, is required. A minimum ÜDS or KPDS score of 65, or TOEFL score of 213 (computer based) is required.

Qualification Requirements and Regulations

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Recognition of Prior Learning

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Occupational Profiles of Graduates

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Access to Further Studies

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Program Outcomes

1 Ability to identify and apply advanced concepts in computer engineering
2 Cooperate efficiently in intra-disciplinary and multi-disciplinary teams.
3 Have theoretical and practical basis in computer engineering and science to be able to conduct related academic research independently.
4 Ability to apply advanced mathematical and engineering knowledge on real problems.
5 Ability to search the scientific literature related to a research project and find the relationships with own research
6 Ability to interprete scientific research and use the findings
7 Ability to work efficiently in interdisciplinary research teams
8 Ability to attain scientific knowledge
9 Ability find ways to improve upon current knowledge
10 Ability to present research findings in seminars and conferences
11 Ability to write research progress reports by referring to published theses and papers.
12 Ability to show the responsibility of professional and ethical behavior

Course & Program Outcomes Matrix

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes 1 2 3 4 5 6 7 8 9 10 11 12
Courses
CMP5123 Computer Networks and Mobile Communications 4 4 5 4 4 5 4 4 5 4 3 4
CMP6138 Analysis of Algorithms
CMP6160 Advanced Topics in Artificial Intelligence 4 4 4 5 4 5 5 5 4 4 4 3
CMP6887 Seminar 4 4 5 4 4 4 3 4 4 4 3 3
CMP6888-1 Ph.D. Thesis 4 4 4 4 4 4 4 4 4 4 4 4
CMP6888-2 Ph.D. Thesis 4 4 4 4 4 4 4 4 4 4 4 4
CMP6888-3 Ph.D. Thesis 5 5 4 5 4 4 4 4 4 4 4 4
CMP6888-4 Ph.D. Thesis 4 4 4 4 4 4 4 4 4 4 4 4
CMP6902 Ph.D Qualification Exam 4 4 4 4 4 4 4 4 4 4 4 4
Departmental Elective
BDA5011 Big Data and Analytics
CMP5103 Artificial Intelligence
CMP5126 Image and Video Processing
CMP5130 Machine Learning and Pattern Recognition
CMP5133 Artificial Neural Networks
CMP5151 Software Design Patterns
CMP5203 High Performance Computer Architecture
CMP5208 Parallel Computing with GPUs
CMP6008 Directed Topics I
CYS5123 Web Application Security: Hacking and Defence
CYS5178 Penetration Testing
ENM5203 Statistical Data Analysis and Decision Making
INE5206 Decision Analysis
INE5261 Multi Attribute Decision Making
SEN5104 Advanced System Analysis and Design II
GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6138 Analysis of Algorithms 3 0 3 6
Departmental Elective 3 12
Departmental Elective 3 12
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5123 Computer Networks and Mobile Communications 3 0 3 9
CMP6160 Advanced Topics in Artificial Intelligence 3 0 3 9
Departmental Elective 3 12
Total 30
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6887 Seminar ☑ 0 0 0 6
Departmental Elective 3 12
Departmental Elective 3 12
Total 30
4. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6902 Ph.D Qualification Exam 0 0 0 30
Total 30
5. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6888-1 Ph.D. Thesis ☑ 0 0 0 30
Total 30
6. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6888-2 Ph.D. Thesis ☑ 0 0 0 30
Total 30
7. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6888-3 Ph.D. Thesis ☑ 0 0 0 30
Total 30
8. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6888-4 Ph.D. Thesis ☑ 0 0 0 30
Total 30

Program Director (or Equivalent)


COMPUTER ENGINEERING (ENGLISH, PHD) - GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES

Dr. Öğr. Üyesi TARKAN AYDIN
Program Coordinator

SCHOOL OF ENGINEERING AND NATURAL SCIENCES
E-Mail: tarkan.aydin@eng.bau.edu.tr
Telephone: +90 2123810318