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

ECTS Coordinator

Asist Prof.Dr. Gürcan ÇETİN

Course Structure Diagram with Credits

1. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM 5090 Seminar Required 0 2 6
BSM 5099 Scientific Research Techniques and Publishing Ethics Required 3 0 6
BSM 5501 Numerical Solutions in Electronics and Computer Sciences Elective 3 0 6
BSM 5503 Scientific Research Methods Elective 3 0 6
BSM 5505 Artificial Intelligence Elective 3 0 6
BSM 5507 Computer and Network Security Elective 3 0 6
BSM 5509 Advanced Computer Architecture Elective 3 0 6
BSM 5511 Bioinformatics Elective 3 0 6
BSM 5513 Computer Networks and Open System Architecture Elective 3 0 6
BSM 5515 Input Shaping and Reliable Control Elective 3 0 6
BSM 5517 Modelling of Computer Networks and Analysis Elective 3 0 6
BSM 5519 Unix Network Programming Elective 3 0 6
BSM 5521 Medical Informatics Elective 3 0 6
BSM 5523 Biomedical Technology Elective 3 0 6
BSM 5525 Image Processing Elective 3 0 6
BSM 5527 Microcomputer Systems Elective 3 0 6
BSM 5701 Specialization Field Course Required 4 0 6
       
1. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM 5502 Applied Mathematics Elective 3 0 6
BSM 5504 Industrial Automation Systems Elective 3 0 6
BSM 5506 Parallel and Distributed Systems Elective 3 0 6
BSM 5508 Industrial Communication Networks Elective 3 0 6
BSM 5510 Fuzzy Logic Control Elective 3 0 6
BSM 5512 Intelligent Systems Elective 3 0 6
BSM 5514 System Simulation Elective 3 0 6
BSM 5516 Advanced Data Mining Elective 3 0 6
BSM 5520 Mobile and Wireless Networks Elective 3 0 6
BSM 5522 Computer Forensics Applicaitons Elective 3 0 6
BSM 5524 Signals and Biomedical Applications Elective 3 0 6
BSM 5526 Computer based system modeling Elective 3 0 6
BSM 5528 Advanced Topics in Computer Networks Elective 3 0 6
BSM 5530 Machine Learning Elective 3 0 6
BSM 5702 Specialization Field Course Required 4 0 6
       
2. Year - 1. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM 5000 Thesis Work Required 0 0 24
BSM 5703 Specialization Field Course Required 4 0 6
       
2. Year - 2. Term
Course Unit Code Course Unit Title Course Type Theory Practice ECTS Print
BSM 5704 Specialization Field Course Required 4 0 6
       
 

Evaluation Questionnaires

Course & Program Outcomes Matrix

1. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Seminar54445433425445
Scientific Research Techniques and Publishing Ethics15125211135445
Numerical Solutions in Electronics and Computer Sciences23255451315445
Scientific Research Methods15225211135445
Artificial Intelligence35555434515445
Computer and Network Security52355425325445
Advanced Computer Architecture52355441215445
Bioinformatics32355431415445
Computer Networks and Open System Architecture42255443315445
Input Shaping and Reliable Control32255441415445
Modelling of Computer Networks and Analysis53355422515445
Unix Network Programming32355434515445
Medical Informatics 523 5541325445
Biomedical Technology 42455431515445
Image Processing42355453415445
Microcomputer Systems32355451415445
Specialization Field Course54454545445454
               
1. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Applied Mathematics13235411215445
Industrial Automation Systems42355442515445
Parallel and Distributed Systems42455421415445
Industrial Communication Networks52355443415445
Fuzzy Logic Control35555434515445
Intelligent Systems45555434415555
System Simulation53355421415445
Advanced Data Mining53555453415445
Mobile and Wireless Networks52355414415445
Computer Forensics Applicaitons53455525325445
Signals and Biomedical Applications22455441515445
Computer based system modeling 43455431415445
Advanced Topics in Computer Networks54554443323433
Machine Learning52355442215445
Specialization Field Course55555555555555
               
2. Year - 1. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Specialization Field Course55555555555555
               
2. Year - 2. Term
Ders AdıPy1Py2Py3Py4Py5Py6Py7Py8Py9Py10Py11Py12Py13Py14
Specialization Field Course55555555555555
               
 

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