ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, PHD)


Profile of the Program

The aim of this program is to train engineers who can analyze and solve electrical and electronics engineering problems and design innovative solutions by applying basic principles of engineering; have self-confidence to take initiative and responsibility and are conscious of ethical, societal and environmental issues; who are conscious about the importance of continuing their professional development and have effective communication skills.

Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Electrical and Electronics Engineering

Level of Qualification

This is a program.

Specific Admission Requirements

Master of Science Degree, or Bachelor of Science Degree with an overall GPA of 3.00/4.00 in acceptable fields. Sufficient score from the National Academic Staff & Graduate Education Exam (ALES, quantitative: 70/100) or GRE (quantitative: 685). English proficiency (550 from TOEFL PBT or equivalent).

Qualification Requirements and Regulations

The students graduating from this program are awarded the Doctor of Philosophy (Ph. D.) degree in Electrical and Electronics Engineering.

Recognition of Prior Learning

At Bahcesehir University, full-time students can be exempted from some courses within the framework of the related by laws. If the content of the course previously taken in another institution is equivalent to the course offered at BAU, then the student can be exempted from this course with the approval of the related faculty/graduate school after the evaluation of the course content.

Occupational Profiles of Graduates

Graduates of the PhD program in Electrical and Electronics Engineering can be recruited within foundations and institutions such as ministries, municipalities, universities, institutes, research and production centers in the public sector as well as private companies related to the Electrical and Electronics Engineering design and application processes. Our graduates can also initiate their own companies.

Access to Further Studies

The students graduating from this program may apply to post doctoral programs in the field of expertise.

Program Outcomes

Course & Program Outcomes Matrix

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes
Courses
EEE6002 Digital Integrated Circuits
EEE6003 Communication Systems
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
BDA5011 Big Data and Analytics
BDA5012 Big Data in Cloud Computing
CMP5101 Data Mining
CMP5103 Artificial Intelligence
CMP5123 Computer Networks and Mobile Communications
CMP5126 Image and Video Processing
CMP5130 Machine Learning and Pattern Recognition
CMP5133 Artificial Neural Networks
CMP5203 High Performance Computer Architecture
CMP5550 Computer Vision
EEE5012 Numerical Methods in Engineering
EEE5014 Random Processes and Estimation Theory
EEE5040 Data Communications&Networking
EEE5041 Quantum Engineering
EEE5043 Error Control Coding
EEE5723 Microwave Engineering
EEE6008 Directed Topics I
EEE6009 Directed Topics II
EEE6010 Directed Topics III
INE5309 Enterprise Resource Planning with SAP
MCH5308 Finite Element Methods
MCH5315 Nonlinear Control
MCH5613 Introduction to Wind Energy Engineering
GE-Elective

Course Structure Diagram with Credits

1. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6002 Digital Integrated Circuits 3 0 3 9
RCH6001 Advanced Research Methods 3 0 3 9
Departmental Elective 3 12
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6003 Communication Systems 3 0 3 9
Departmental Elective 3 12
Departmental Elective 3 9
Total 30
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)


ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, PHD) - GRADUATE SCHOOL