COMPUTER ENGINEERING (ENGLISH, INTEGRATED PHD)

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

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Access to Further Studies

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

Program Outcomes

Course & Program Outcomes Matrix

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

Program Outcomes

Courses

CMP5101 Data Mining

CMP5121 Network Security and Cryptography

CMP5123 Computer Networks and Mobile Communications

CMP5550 Computer Vision

CMP5887 Seminar

CMP6138 Analysis of Algorithms

CMP6160 Advanced Topics in Artificial Intelligence

CMP6888-1 Ph.D. Thesis

CMP6888-2 Ph.D. Thesis

CMP6888-3 Ph.D. Thesis

CMP6888-4 Ph.D. Thesis

CMP6901 Qualifier Preparation

CMP6902 Ph.D Qualification Exam

Departmental Elective

CMP5130 Machine Learning and Pattern Recognition CMP5133 Artificial Neural Networks CMP6008 Directed Topics I CMP6009 Directed Topics II CYS5123 Web Application Security: Hacking and Defence

GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP5101	Data Mining		3	0	3	8
CMP5550	Computer Vision		3	0	3	8
Departmental Elective					3	8
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Departmental Elective					3	6
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Total						30

2. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP5121	Network Security and Cryptography		3	0	3	8
Departmental Elective					3	10
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Departmental Elective					3	12
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Total						30

3. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP6138	Analysis of Algorithms		3	0	3	6
Departmental Elective					3	12
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Departmental Elective					3	12
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Total						30

4. 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	12
Departmental Elective					3	12
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS CMP5130 Machine Learning and Pattern Recognition 3 0 3 12 CMP5133 Artificial Neural Networks 3 0 3 12 CMP6008 Directed Topics I 3 0 3 12 CMP6009 Directed Topics II 3 0 3 12 CYS5123 Web Application Security: Hacking and Defence 3 0 3 12
Total						33

5. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP5887	Seminar	☑	0	0	0	10
CMP6901	Qualifier Preparation		0	0	0	30
Total						40

6. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP6902	Ph.D Qualification Exam		0	0	0	30
Total						30

7. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP6888-1	Ph.D. Thesis	☑	0	0	0	30
Total						30

8. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP6888-2	Ph.D. Thesis	☑	0	0	0	30
Total						30

9. Semester
Course Code	Course Name	Prerequisites	Theoretical	Practical	Credit	ECTS
CMP6888-3	Ph.D. Thesis	☑	0	0	0	30
Total						30

10. 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, INTEGRATED PHD) - GRADUATE SCHOOL