COMPUTER ENGINEERING (ENGLISH, INTEGRATED PHD)


Profile of the Program

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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

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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
Departmental Elective 3 6
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
Departmental Elective 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
Departmental Elective 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
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