ELECTRICAL AND ELECTRONICS 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

This page is still updating...

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

1 Have sufficient background and an ability to apply knowledge of mathematics, science, and engineering to identify, formulate, and solve problems of electrical and electronics engineering
2 Be able to define, formulate and solve sophisticated engineering problems by choosing and applying appropriate analysis and modeling techniques and using technical symbols and drawings of electrical and electronics engineering for design, application and communication effectively.
3 Have an ability to design or implement an existing design of a system, component, or process to meet desired needs within realistic constraints (realistic constraints may include economic, environmental, social, political, health and safety, manufacturability, and sustainability issues depending on the nature of the specific design)
4 Be able to develop, choose, adapt and use innovative and up-to-date techniques, skills, information technologies, and modern engineering tools necessary for electrical and electronics engineering practice and adaptation to new applications.
5 Be able to design and conduct experiments, as well as to collect, analyze, and interpret relevant data, and use this information to improve designs.
6 Be able to function individually as well as to collaborate with others in multidisciplinary teams.
7 Be able to communicate effectively in English and Turkish (if he/she is a Turkish citizen).
8 Be able to recognize the need for, and to engage in life-long learning as well as a capacity to adapt to changes in the technological environment.
9 Have a consciousness of professional and ethical responsibilities as well as workers’ health, environment and work safety.
10 Have the knowledge of business practices such as project, risk, management and an awareness of entrepreneurship, innovativeness, and sustainable development.
11 Have the broad knowledge necessary to understand the impact of electrical and electronics engineering solutions in a global, economic, environmental, legal, and societal context.

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
Courses
EEE5010 Optimization
EEE5022 Applied Statistics
EEE6887 Doctoral Seminar 3 3 3 4 2 3 5 5 3 4 4
EEE6888-1 Ph.D. Thesis 5 4 4 5 5 3 4 4 3 2 2
EEE6888-2 Ph.D. Thesis 5 4 4 5 5 3 4 4 3 2 2
EEE6888-3 Ph.D. Thesis 5 4 4 5 5 3 4 4 3 2 2
EEE6888-4 Ph.D. Thesis 5 5 5 5 5 4 3 4 4 3 5
EEE6902 Qualifier Exam 5 5 3 3 3
MCH5001 Linear System Theory
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
CMP5550 Computer Vision
EEE5012 Numerical Methods in Engineering
EEE5014 Random Processes and Estimation Theory
EEE6008 Directed Topics I
EEE6009 Directed Topics II
EEE6010 Directed Topics III
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
MCH5001 Linear System Theory 3 0 3 8
Departmental Elective 3 12
Departmental Elective 3 12
Total 32
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE5010 Optimization 3 0 3 9
EEE5022 Applied Statistics 3 0 3 9
Departmental Elective 3 12
Total 30
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6887 Doctoral 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
EEE6902 Qualifier Exam 0 0 0 30
Total 30
5. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6888-1 Ph.D. Thesis 0 0 0 30
Total 30
6. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6888-2 Ph.D. Thesis 0 0 0 30
Total 30
7. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6888-3 Ph.D. Thesis 0 0 0 30
Total 30
8. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
EEE6888-4 Ph.D. Thesis 0 0 0 30
Total 30

Program Director (or Equivalent)


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

Dr. Öğr. Üyesi AYÇA YALÇIN ÖZKUMUR
Program Coordinator

SCHOOL OF ENGINEERING AND NATURAL SCIENCES
E-Mail: ayca.yalcin@eng.bahcesehir.edu.tr
Telephone: +90