COMPUTER ENGINEERING (ENGLISH, THESIS)


Profile of the Program

The M.S in Computer Engineering Program aims to provide its students with an ability to use new technologies towards developing creative work models that can be used for local solutions.

Qualification Awarded

The students who successfully complete the program are awarded the degree of Bachelor of Master of Science

Level of Qualification

This is a program.

Specific Admission Requirements

In order to apply for a master's program, candidates must have a bachelor's degree and meet other basic program-specific requirements to be determined by the Institute Board. In addition, students applying to thesis programs must have an ALES score of no less than 55 points, as determined by the Institute Board in the score type they are applying for. The foreign language proficiency levels of candidates applying to master's programs conducted in a foreign language are determined according to the results of central foreign language exams accepted by YÖK, international foreign language exams accepted as equivalent by YÖK or ÖSYM, or the University English Proficiency Exam.

Qualification Requirements and Regulations

For the M.S. degree students are required to - complete 7 graduate level courses counting 21 credits of course work- - attend a non-credit seminar course - have a minimum cumulative grade point average of at least 3.00/4.00 and no failing grades - prepare and successfully defend a Master's thesis. In addition to these requirements, students are required to attend classes, practical and laboratory sessions, and examinations. Students' attendance is tracked by the instructor.

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 may find employment in both state and private organizations as Computer Engineers, System Engineers, Network Administrators, System Programmers, Design Engineers, Security Administrators, and System Analysts . They can also continue careers in higher education or research centers as researchers and academicians.

Access to Further Studies

Students who graduate from this program can apply to study in doctoral programs.

Program Outcomes

1 Define and manipulate advanced concepts of Computer Engineering
2 Use math, science, and modern engineering tools to formulate and solve advenced engineering problems
3 Notice, detect, formulate and solve new engineering problems.
4 Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results
5 Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study
6 Work effectively in multi-disciplinary research teams
7 Acquire scientific knowledge
8 Find out new methods to improve his/her knowledge.
9 Effectively express his/her research ideas and findings both orally and in writing
10 Defend research outcomes at seminars and conferences.
11 Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc.
12 Demonstrate professional and ethical responsibility.
13 Develop awareness for new professional applications and ability to interpret them.

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 12 13
Courses
CMP5101 Data Mining 5 5 5 4 4 4 4 4 2 2 1 3 2
CMP5121 Network Security and Cryptography 4 4 4 4 4 4 3 3 2 2 1 3 2
CMP5550 Computer Vision 4 4 4 2 3 3 3 3 3 2 1 2 2
CMP5887 Seminar 1 1 1 4 3 2 5 5 5 5 5 3 1
CMP5888-1 Master Thesis 4 5 5 5 5 4 5 5 5 5 5 4 1
CMP5888-2 Master Thesis 4 5 5 5 5 4 5 5 5 5 5 4 1
EEE5101 Research Methods and Ethics
Departmental Elective
BDA5002 Marketing Analytics
BDA5012 Big Data in Cloud Computing
CMP5103 Artificial Intelligence
CMP5123 Computer Networks and Mobile Communications
CMP5126 Image and Video Processing
CMP5130 Machine Learning and Pattern Recognition
CMP5133 Artificial Neural Networks
CMP5151 Software Design Patterns
CMP5203 High Performance Computer Architecture
CMP5208 Parallel Computing with GPUs
CMP6138 Analysis of Algorithms
CMP6160 Advanced Topics in Artificial Intelligence
CYS5021 Cyber Security
CYS5119 Secure Web Software Development
CYS5123 Web Application Security: Hacking and Defence
CYS5178 Penetration Testing
CYS5789 Cyber Security Law
EEE5010 Optimization
EEE5012 Numerical Methods in Engineering
EEE5014 Random Processes and Estimation Theory
EEE5022 Applied Statistics
IND5101 Smart Factories
IND5102 Internet of Things
INE5110 Probabilistic Models and Applications
INE5111 Mathematical Programming and Modelling
INE5206 Decision Analysis
INE5261 Multi Attribute Decision Making
INE6101 Linear Optimization
INE6103 Multivariate Data Analysis
MAT5101 Engineering Mathematics
MCH5001 Linear System Theory
SEN5315 Service Oriented Architectures 4 2 2 2 3 2 2 2 4 1 4 2 3
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 6
Departmental Elective 3 8
Total 30
2. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5121 Network Security and Cryptography 3 0 3 8
CMP5887 Seminar ☑ 0 0 0 10
EEE5101 Research Methods and Ethics 3 0 3 9
Departmental Elective 3 8
Departmental Elective 3 8
Total 43
3. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5888-1 Master Thesis 0 0 0 20
Total 20
4. Semester
Course Code Course Name Prerequisites Theoretical Practical Credit ECTS
CMP5888-2 Master Thesis ☑ 0 0 0 30
Total 30

Program Director (or Equivalent)


COMPUTER ENGINEERING (ENGLISH, THESIS) - GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES

Assist. Prof. TARKAN AYDIN
Program Coordinator

SCHOOL OF ENGINEERING AND NATURAL SCIENCES
E-Mail: tarkan.aydin@eng.bau.edu.tr
Telephone: +90 2123810318