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National
A Signing Avatar System for Turkish to Turkish Sign Language Machine Translation
Esnek Optik Aglarda Dinamik Yönlendirme, Tayf Atama Ve Trafik Demetleme
Localization of Brain SubThalamic Nucleus using Joint Diffusion MRI-Functional MRI Analysis for Parkinson Patients: Application to Deep Brain Stimulation
New Mathematical Computing Techniques for Analysis of Pre-Operation vs Post-Operation Changes in Brainstem White Matter Tracts using Diffusion Tensor Imaging
R&D Strategy Document Preparation of ITU in the Field of IT/Computer Engineering
Safe Task Execution by Autonomous Humanoid Robots
Spatial auditory-vision sensory substitution using range cameras
International
Advanced Image-Guided Endovascular Interventions by Segmentation and 3D/2D Registration of Cerebral Angiograms
Autonomous Control for a Reliable Internet of Services (ACROSS)
Resilient Communication Services Protecting End-User Applications from Disaster-based Failures (RECODIS
Virtualized programmable InTerfAces for smart, secure and cost-effective IoT depLoyments in smart cities (VITAL)
Computer Networks Research Laboratory
Computer Vision, Image Processing and Pattern Recognition
Earthquake Prediction
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Security, Privacy and Financial Systems
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EDUCATION
Computer Engineering Undergraduate
General Information
Courses
Information Systems Engineering (SUNY)
General Information
Courses
Computer Engineering Graduate
General Information
Graduate Education Notification
Courses
Information Technologies Non-thesis Masters Program
Informatics Courses Coordinatorship
Regulations
RESEARCH
Projects
National
A Signing Avatar System for Turkish to Turkish Sign Language Machine Translation
Esnek Optik Aglarda Dinamik Yönlendirme, Tayf Atama Ve Trafik Demetleme
Localization of Brain SubThalamic Nucleus using Joint Diffusion MRI-Functional MRI Analysis for Parkinson Patients: Application to Deep Brain Stimulation
New Mathematical Computing Techniques for Analysis of Pre-Operation vs Post-Operation Changes in Brainstem White Matter Tracts using Diffusion Tensor Imaging
R&D Strategy Document Preparation of ITU in the Field of IT/Computer Engineering
Safe Task Execution by Autonomous Humanoid Robots
Spatial auditory-vision sensory substitution using range cameras
International
Advanced Image-Guided Endovascular Interventions by Segmentation and 3D/2D Registration of Cerebral Angiograms
Autonomous Control for a Reliable Internet of Services (ACROSS)
Resilient Communication Services Protecting End-User Applications from Disaster-based Failures (RECODIS
Virtualized programmable InTerfAces for smart, secure and cost-effective IoT depLoyments in smart cities (VITAL)
Computer Networks Research Laboratory
Computer Vision, Image Processing and Pattern Recognition
Earthquake Prediction
Natural Language Processing
Security, Privacy and Financial Systems
Human Centered Computing
Learning from Data
Parallel and Distributed Computing
Heuristic Optimization and Search
TARBİL
Artificial Intelligence and Robotics
Software Modeling
Private Research Laboratories
ITU-HP Software Development Center
User Experience Center
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Important Issues for the Notification of Candidates
The aim of graduate education is specializing and carrying out research in one of the topics of ITU Computer Engineering Department.
It is recommended to examine the topics of ITU Computer Engineering Department before starting the programme and talk with related faculty members about advisory during your education.
The courses you will take and the thesis you will prepare will be in the topic you selected and under the authorization of your advisor faculty member.
Starting from the end of second semester, your GPA must be over a limit to be able to continue the programme. These limits are stated in
the regulations
[in Turkish].
Attendancy is required in the graduate courses. To be able to succeed, you have to attend courses regularly and participate in interm work (homework assignments, projects, presentations etc) actively.
It is not a solution to talk with the lecturer after the term for getting better grades from the courses you fail. Working in a job does not bring you additional rights or privilages.
Having a dense job makes it very hard to succeed in graduate education. If you do not have a scholarship, it is recommedded to work in research projects or have a part time job, instead of a full time job.
Students who are not graduated from Computer Engineering programme must attend to Scientific Preparation courses in their first year. It is recommended to examine these courses and their contents before applying to the programme.
To be able to get your MSc thesis accepted, it is a mandatory to have an academic publication accepted in an international conference or a SCI-E scanned journal. PhD students must have a SCI-E scanned journal.