COMPUTER ENGINEERING (ENGLISH, PHD)


Profile of the Program

The Ph.D. program in Computer Engineering is designed to provide advanced training and foster research excellence in the fundamental areas of computer science and engineering. This program prepares students for a career in academia, industry, or research institutions, with a focus on innovative contributions to the fields of computer architecture, embedded systems, artificial intelligence, cybersecurity, and network systems. Students will engage in rigorous coursework and cutting-edge research, addressing both theoretical and applied challenges in computing. The program emphasizes the development of novel algorithms, hardware-software integration, and the optimization of complex systems. Through individual research projects, students will contribute to the advancement of knowledge, with an emphasis on practical, scalable solutions to current and future technological challenges.

Qualification Awarded

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Level of Qualification

This is a program.

Specific Admission Requirements

In order to apply to the doctoral program, candidates must have a thesis-based master's degree and must have an ALES score of no less than 55 points in the score type of the program they are applying for, as determined by the Institute Board recommendation and Senate decision. In addition to the ALES score, a written scientific assessment exam and/or an additional interview result and a master's grade point average may also be evaluated for the acceptance of those who will apply to the doctoral program. Matters related to this evaluation, application conditions and other matters regarding student admission are announced to candidates through appropriate means upon the recommendation of the Institute Board of Directors and the rules determined by the Senate.

Qualification Requirements and Regulations

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Recognition of Prior Learning

Students who will continue their education at Bahçeşehir University may be exempted from the courses they took at their previous educational institution within the framework of certain regulations. If the content of the course taken is compatible with the content of the course given at BAU and is approved by the institute directorate, the student may be exempted from this course.

Occupational Profiles of Graduates

Graduates of the program will be equipped with the critical thinking, technical expertise, and research skills necessary to lead advancements in computer engineering and to drive innovation across diverse fields.

Access to Further Studies

Students who successfully complete the program can apply for post-doctoral studies according to their areas of expertise.

Program Outcomes

1 To be able to follow scientific literature, analyze it critically and use it effectively in solving engineering problems.
2 To be able to ask the right questions, plan, implement, manage and document innovative work for scientific innovative designs in the field of Computer Engineering.
3 To be able to independently carry out studies in the field of Computer Engineering, examine them in depth, take responsibility and evaluate the results obtained from a critical point of view.
4 To be able to present the results of his/her research and projects effectively in written, oral and visual form in accordance with academic standards.
5 To be able to conduct independent research on topics related to Computer Engineering that require deep specialization, to develop original ideas and to transfer this knowledge to practice.
6 Uses advanced theoretical and practical knowledge specific to Computer Engineering effectively.
7 Acts in accordance with professional, scientific and ethical values; takes responsibility by considering the social, environmental and ethical impacts of engineering practices.

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
Courses
CMP6138 Analysis of Algorithms
CMP6160 Advanced Topics in Artificial Intelligence
QUA6999 Qualifying Exam
RCH6001 Advanced Research Methods
SMR6887 Seminar
THE6888-1 Doctoral Thesis - I
THE6888-2 Doctoral Thesis - II
THE6888-3 Doctoral Thesis - III
THE6888-4 Doctoral Thesis - IV
Departmental Elective
CMP6001 Advanced User Interface Software
CMP6002 Program Analysis
CMP6006 Analysis of Software Products
CMP6007 Advanced Human Computer Interaction
CMP6008 Directed Topics I
CMP6009 Directed Topics II
CMP6010 Semantics of Programming Languages
CMP6012 Advanced Web Based Learning Methodologies
CMP6021 Data Mining and Knowledge Discovery
CMP6023 Fundamental Technologies in Data Mining
CMP6102 Advanced Topics in Data Mining
CMP6103 Uncertainty Modeling & Analysis in Engineering
CMP6104 Principles of Large Scale Machine Learning
CMP6105 Fuzzy Expert Systems
CMP6122 Advanced Topics in Cryptography
CMP6124 Optimization for Machine Learning
CMP6137 Advanced Topics in Wireless Networks and Mobile Communications
CMP6146 Advanced Topics in Computer Architecture
CMP6160 Advanced Topics in Artificial Intelligence
CMP6162 Advanced Topics in Video Surveillance
CMP6163 Advanced Topics in Computer Communications Systems
CMP6164 Advanced Topics in Computer Vision
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
RCH6001 Advanced Research Methods 3 0 3 9
Departmental Elective 3 12
Total 27
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP6160 Advanced Topics in Artificial Intelligence 3 0 3 12
Departmental Elective 3 9
Departmental Elective 3 12
Total 33
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
SMR6887 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
QUA6999 Qualifying Exam 0 0 0 30
Total 30
5. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-1 Doctoral Thesis - I 0 0 0 30
Total 30
6. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-2 Doctoral Thesis - II 0 0 0 30
Total 30
7. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-3 Doctoral Thesis - III 0 0 0 30
Total 30
8. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
THE6888-4 Doctoral Thesis - IV 0 0 0 30
Total 30

Program Director (or Equivalent)


COMPUTER ENGINEERING (ENGLISH, PHD) - GRADUATE SCHOOL