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Health Informatics Department and ve Bioinformatics M.S. Program Interview Dates

2018-2019 academic year fall semester interviews for Health Informatics Ph.D. Program will be held on 28 June 2018.

Interviews for Health Informatics and Bioinformatics M.S. Programs will be held on 29 June 2018.

Candidates who will be invited to the interviews and the exact schedule will be announced after the application period ends.

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Cybersecurity Department Applications for Transition from Graduate Program without Thesis to Thesis Graduate Program

Those, who finished 7 courses successfully, need to bring their petitions to the Student Affair Office at the Graduate School of Indormatics until 20 June Wendesday, in order to apply Transfer from Master Without Thesis Program to Master with thesis Program.

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Thesis defense - Hakan Bosnalı

Graduate School of Informatics /Information Systems

In partial fulfillment of the requirements for the degree of Master of Science Hakan Bosnalı will defend his thesis.

Title: A COMBINATORIAL TEST DATA GENERATION APPROACH USING FAULT DATA ANALYSIS AND DISCRETIZATION OF PARAMETER INPUT SPACE

Date: 22nd June 2018

Time: 09:30 AM

Place: B-116

Thesis Abstract :Combinatorial Testing is an efficient testing strategy. It is based on the idea that many faults are caused by interactions between a relatively small number of parameters. However, determining the right interaction strength to generate data for different software is an issue in terms of efficiency. In addition to that, it requires the inputs in a discrete form, while that is not always the case. We propose a new combinatorial test data generator tool that combines fault data analysis to determine the right interaction strength for the specific domain of software and transformation of the continuous input space of parameters into discrete using well known test techniques. With this new tool, it is aimed to minimize test costs, while maximizing the confidence in test data. Experiments made with the tool support this idea with results showing a significant increase in test efficiency. 

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Informatics Institute Course Performance Awards Results

Student Name, Surname EABD  Programme GNO
Bengül Bayraktaroğlu Information Systems M.S. 3,71
Mert Onuralp Gökalp Information Systems Ph.D. 3,75
Gökçe Dengiz Information Systems M.S. 3,87
Emre Mülazimoğlu Cyber Security M.S. 4,00
Nihan Akın Cyber Security M.S. 3,75
Utku Can Kunter Cognitive Science Ph.D. 4,00
Arzu Burcu Güven Cognitive Science M.S. 3,94
Emre Erçin Cognitive Science M.S. 3,94
Mona Shojaei Medical Informatics Ph.D. 3,88
Selin Çoban Medical Informatics M.S. 3,64
Cansu Dinçer Medical Informatics M.S. 3,93
Bilgin Aksoy Modelling and Simulation M.S. 3,74

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Thesis defense - Lütfi Kılıç

Graduate School of Informatics /Information Systems

In partial fulfillment of the requirements for the degree of Master of Science Lütfi Kılıç will defend his thesis.

Title: "EFFECTS OF A DDOS ATTACK ON A MILITARY OPERATION" 

Date: 05th March 2018

Time: 15:00 AM

Place: A-212

Thesis Abstract :

In this thesis, first of all, the terms cyber, cyber warfare, DDoS has been described. There is elaborate explanation on DDoS. Given the increasing use of internet and cyber in modern life, DDoS attacks have been modeled, thus we have tried to understand how DDoS attacks affect the results of a conventional war. In modeling, we used Lanchesters kinetic and mixed warfare models. We analysed the outcomes and paid much attention on how DDoS attacks changed the flow of the conventional war process. The results were presented as graphs and in details, there is also comparative results on graphs.

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Thesis defense - Murat Vural

Graduate School of Informatics /Information Systems

In partial fulfillment of the requirements for the degree of Master of Science Murat Vural will defend his thesis.

Title: "ONLINE DETECTION OF PILOT WORKLOAD BY USING FNIR SENSORS." 

Date: 14th March 2018

Time: 16:30 AM

Place: A-212

Thesis Abstract :

Measuring mental workload of pilots and evaluating such measurements are important concerns in the aviation domain that requires high safety critical precautions. However, obtaining valid online measures without reducing operational capabilities of pilots remains to be an active area of research in human factors and aviation psychology. The aim of this thesis is to develop online measures for mental workload of pilots and establish a ground for new studies which will use these measurements to take precautions for safety. Since fNIR (Functional Near Infrared Spectroscopy) technology has been successfully employed in recent human factors studies and fNIR sensors have an ergonomic design that minimizes the discomfort of pilots as compared to other brain imaging methods, fNIR optical brain imaging technology will be employed in this thesis study. Firstly, changes in the mental workload of pilots will be studied offline in well-defined test scenarios in order to devise physiological patterns and algorithms for mental workload assessment. Afterwards, a software that can make online mental workload assessment by using these algorithms will be developed and tested.

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