Türkçe
Graduate School Of Natural And Applied Sciences Information Systems Engineering

Qualification Awarded

Graduate

Specific Admission Requirements

Muğla Sıtkı Koçman University Graduate School of Natural and Applied Sciences As a graduate program in the field of Computer Science and Engineering, "Information Systems Higher Engineering" curriculum is implemented. Students who have successfully completed a bachelor's degree at Engineering Faculties, in departments of Information Systems Engineering, Computer Engineering, Biomedical Engineering, Electronics Engineering, Electrical Engineering, Electrical and Electronics Engineering, Software Engineering, Systems Engineering can apply.

Qualification Requirements

Students must successfully complete to all lessons in the Master program of Information System Engineering. Their master thesis and semener studies should be acceppted.

Recognition of Prior Learning

Depending on the academic achievement status with the internal transfer programs, the students are accepted in the quotas determined at the beginning of the academic year.

History

Muğla Sıtkı Koçman University, Graduate School of Natural and Applied Sciences, Department of Information Systems Engineering started to give education in 2014-2015 academic year.

Profile of the Programme

Averagely 15 graduate students are accepted to our programme for each year in Spring / Fall semester.

Program Outcomes

1- Students in the engineering of information systems, recognize new technologies, software and communication tools developed and use effective information technologies.
2- In the projecting and production of information systems, students find unique and alternative solutions based on questioning, innovation, experiment / observation / implementation / reasoning and competitiveness.
3- Students colllect data for information technology with modern computers and mobile systems, analyze and model this data, and take optimal decisions at the end of the analysis.
4- Students identify appropriate hardware and software solutions for any industrial and / or business-related computing problem, according to the basic analytical thinking principles of computer and industrial engineering.
5- Students have sufficient accumulation of mathematics and science in the field of engineering systems of information systems, evaluate and interpret data using theoretical knowledge and application skills acquired, develop problem solving and solution proposals, and develop software and hardware technologies in the industry and service sector.
6- Students apply and develop the basic principles of engineering of information systems.
7- Students enable all kinds of information and data used in communication in technical, economic and social fields to be processed in a regular fashion, especially through electronic devices.
8- Students can take measures to ensure the security of information systems
9- Students have the ability to design a system, subsystem or process to meet requirements in the field of engineering
10- Students have scientific and ethical behaviours in the field, develop and lead in this sense
11- Students actively use the methods of information access required for lifelong learning
12- Students follow academic studies in their field for professional development, organize scientific and social events for the development of professional communication skills
13- Students can use a foreign language to track information about the area and collaborate with their colleagues
14- Students have the ability to work effectively in interdisciplinary and a discipline project groups and have a sense of responsibility

Exam Regulations & Assesment & Grading

Exams, homework, projects, applications, presentations, thesis.

Graduation Requirements

In order to get a thesis degree from the Department of Information Systems Engineering, a total of 42 credits of course and seminar course must be achieved in the curriculum program.

Occupational Profiles of Graduates

Our graduates conveniently have the oppurtunity of finding jobs which needs speciality on their study area.

Access to Further Studies

Candidates who have successfully completed the master's degree may apply to the doctorate program if they take valid grades from the Academic Personnel and Postgraduate Education Entrance Exam (ALES).

Mode of Study

Graduate

Programme Director

Associate Prof.Dr. Hüseyin Gürüler

ECTS Coordinator

Associate Prof.Dr. Hüseyin Gürüler

Course Structure Diagram with Credits

1. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM5090 Seminar Required 0 2 6
BSM5501 Numerical Solutions in Electronics and Computer Sciences Elective 3 0 6
BSM5505 Artificial Intelligence and Sofware Agents Elective 3 0 6
BSM5507 Information and System Security Elective 3 0 6
BSM5509 Advanced Computer Architecture Elective 3 0 6
BSM5511 Bioinformatics Elective 3 0 6
BSM5513 Computer Networks and Open System Architecture Elective 3 0 6
BSM5517 Modelling of Computer Networks and Analysis Elective 3 0 6
BSM5521 Medical Informatics Elective 3 0 6
BSM5523 Biomedical Technology Elective 3 0 6
BSM5525 Image Processing Elective 3 0 6
BSM5527 Microcomputer Systems Elective 3 0 6
BSM5529 Basic Concepts and Applications in Data Science Elective 3 0 4
BSM5531 Software Security Elective 3 0 6
BSM5701 Special Studies Required 4 0 6
FBE5090 Research Methods and Scientific Ethics Required 2 0 2
FBE5500 Project Development and Management Elective 3 0 6
       
1. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM5502 Applied Mathematics Elective 3 0 6
BSM5506 Parallel and Distributed Systems Elective 3 0 6
BSM5510 Fuzzy Logic and Engineering Applications Elective 3 0 6
BSM5512 Intelligent Systems Elective 3 0 6
BSM5514 System Simulation Elective 3 0 6
BSM5516 Advanced Data Mining Elective 3 0 6
BSM5520 Mobile and Wireless Networks Elective 3 0 6
BSM5522 Computer Forensics Applicaitons Elective 3 0 6
BSM5524 Signals and Biomedical Applications Elective 3 0 6
BSM5526 Computer Based System Modeling Elective 3 0 6
BSM5528 Advanced Topics in Computer Networks Elective 3 0 6
BSM5530 Machine Learning Elective 3 0 6
BSM5532 Internet of Things Elective 3 0 4
BSM5534 Service Oriented Architecture Elective 3 0 6
BSM5536 Naural Language Processing Elective 3 0 6
BSM5702 Special Studies Required 4 0 6
       
2. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM5703 Special Studies Required 4 0 6
BSM5801 M.Sc.Thesis Required 0 0 24
       
2. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM5704 Special Studies Required 4 0 6
       
 

Evaluation Questionnaires

Course & Program Outcomes Matrix

0 - Etkisi Yok, 1 - En Düşük, 2 - Düşük, 3 - Orta, 4 - Yüksek, 5 - En Yüksek

1. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Seminar54445433425445
Numerical Solutions in Electronics and Computer Sciences23255451315445
Artificial Intelligence and Sofware Agents355554345 5445
Information and System Security52355425325445
Advanced Computer Architecture52355441215445
Bioinformatics32355431415445
Computer Networks and Open System Architecture42255443315445
Modelling of Computer Networks and Analysis53355422515445
Medical Informatics52355541325445
Biomedical Technology42455431515445
Image Processing42355453415445
Microcomputer Systems32355451415445
Basic Concepts and Applications in Data Science55555555555554
Software Security55555555555555
Special Studies55555555555555
Research Methods and Scientific Ethics44455555555555
Project Development and Management              
               
1. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Applied Mathematics13235411215445
Parallel and Distributed Systems42455421415445
Fuzzy Logic and Engineering Applications35555434515445
Intelligent Systems45555434415555
System Simulation53355421415445
Advanced Data Mining5355545 415445
Mobile and Wireless Networks52355414415445
Computer Forensics Applicaitons53455525325445
Signals and Biomedical Applications22455441515445
Computer Based System Modeling43455431415445
Advanced Topics in Computer Networks54554443323433
Machine Learning52355442215445
Internet of Things55555555555555
Service Oriented Architecture55555555555555
Naural Language Processing55555555555555
Special Studies55555555555555
               
2. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Special Studies55555555555555
M.Sc.Thesis55555555555555
               
2. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Special Studies55555555555555
               
 

Muğla Sıtkı Koçman Üniversitesi, 48000 Kötekli/Muğla | Tel: + 90 (252) 211-1000 | Fax: + 90 (252) 223-9280
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