Software Management Secondary Education MSc Non-Thesis Program Admission Results

As a result of Academic council decision for Software Management MSc Non-Thesis Program for the 2019-2020 Spring Semester, the names of the students who are accepted to the program are as follows:

Second Phase Compensatory Program Acceptance List 

Surname Name
Alagöz Durali
Ateş Esra
Beyazarslan Alkım
Çınar Enes
Erkal Yiğit
Şahin Rukiye Şerife
Temizöz Kemal Aytuğ
Tüzer Zeynep Özge
Yaman Sercan

Announcement Category

Announcement for Medical Informatics Graduate Program Interview

Related to the 2019-2020 Spring applications for Medical Informatics (PhD.) program:

Interviews will be held on January 3, 2020 at 10:00.

Candidates listed below are expected to be present at in front of the Conference Hall-02 (S-06) before 15 minutes of their interview dates.

DAMLA DOKUZOĞLU

BURCU KARAKAYA

SERKAN YENER

Announcement Category

Announcement for Multimedia Informatics Graduate Programs Interviews

Related to the 2019-2020 Spring applications for Modelling and Simulation Department, Multimedia Informatics (MS/PhD) programs:

Interviews for MS and PhD in Multimedia Informatics will be held on January 2, 2020.

Candidates listed below are expected to be present at in front of the II-01 (S-01) before 15 minutes of their interview dates.

 

MODELLEME VE SİMÜLASYON (MODSİM)
ANA BİLİM DALI BAŞKANLIĞI
ÇOKLU ORTAM BİLİŞİMİ (MMI) PROGRAMI
2019-2020 / 2.DÖNEM BAŞVURULARI
MÜLAKAT LİSTESİ
02 OCAK 2020
SALON NO: S-01

S.NO

NAME

SURNAME

INTERVIEW DATE

PROGRAM

1

HALİL İBRAHİM

AKGÜN

10.00

M.S.

2

GÖRKEM

ARPACI

10.10

3

MURAT SEZGİN

BALOĞLU

10.20

4

BATUĞHAN

ÇAVUŞ

10.30

5

EREN BURAK

DEVECİ

10.40

6

YASİN

ERDOĞDU

10.50

7

MERİÇ

EREN

11.00

8

DENİZHAN

EROĞLU

11.10

9

MUSTAFA

KILINÇ

11.20

10

ELİF HİLAL

KORKUT

11.30

11

SEFA

KURTİPEK

11.40

12

ABDELRAHMAN

M.K.M.SOLİMAN

11.50

13

ÖVGÜ

ÖZDEMİR

13.00

14

YUNUS EMRE

ÖZERTAŞ

13.10

15

KUBİLAY HAKAN

ÖZKARDEŞLER

13.20

16

BURAK

ÖZMEN

13.30

17

BARIŞ DENİZ

SAĞLAM

13.40

18

İLHAN BİLGEHAN

ŞENAY

13.50

19

CAHİT YUSUF

TAŞ

14.00

20

KEMAL AYTUĞ

TEMİZÖZ

14.10

21

ABDULLAH MERT

TUNÇAY

14.20

22

ALİ İSKENDER

TURAN

14.30

23

ABBAS

TÜRKOĞLU

14.40

24

CELAL CENK

YAVUZ

14.50

25

CENBERK

YILDIZ

15.00

26

MEHMET BURAKHAN

YILDIZ

15.10

1

EGE

ERDEM

15.20

PhD.

2

OĞUZ

HANOĞLU

15.30

 

Announcement Category

2019-2020 Fall Semester Final Exams

Please follow the date and time information on the table. Times on OIBS (Student Affairs Information System) may not be accurate.

The list will be updated as soon as information about the missing classes is recieved.

DERSİN KODU FİNAL TARİHİ SAATİ YERİ
IS 523 2 Ocak 2020 16:45 II-02
SM 503 2 Ocak 2020 18:00 II-04
IS 503 6 Ocak 2020 08:40-11:30 II-02
CSEC 513 6 Ocak 2020 09:40 II-05
CSEC 591 6 Ocak 2020 12.40-13.30 II-02
IS 740 6 Ocak 2020 12:00-14:00 II-03
CSEC 507 6 Ocak 2020 13:40 II-04
MMI 727 6 Ocak 2020 13.40-16.30 II-06
IS 501 7 Ocak 2020 09:40 II-04
BIN 511 7 Ocak 2020 10.00-12.00 II-02
IS 718 7 Ocak 2020 13:30-16:00 II-04
MMI 701 7 Ocak 2020 13.40-16.30 II-01
MIN 530 7 Ocak 2020 13.40-16.00 II-05
COGS 542 7 Ocak 2020 14.40-17.30 II-03
COGS 502 7 Ocak 2020 14.40 II-02
SM 522 7 Ocak 2020 18:15-20:45 II-04
IS 709 8 Ocak 2020 09:40-12:30 II-06
BIN 506 8 Ocak 2020 10.00-12.00 II-01
IS 739 8 Ocak 2020 12:00-14:00 II-02
COGS 507 8 Ocak 2020 13.30 - 17.30 II-03
CSEC 522 8 Ocak 2020 13:40-16:30 II-06
SM 523 8 Ocak 2020 18:00 II-04
CSEC 501 9 Ocak 2020 09:40-12:30 II-04
IS 504 9 Ocak 2020 10:00 II-02
BIN 714 9 Ocak 2020 10.00-12.00 II-01
MIN 528 9 Ocak 2020 13.40-16.00 II-05
IS 566 9 Ocak 2020 13:40 II-04
IS 545 10 Ocak 2020 09:40 II-02
COGS 536 10 Ocak 2020 10.40-13.30 II-03
BIN 502 13 Ocak 2020 09.40-12.30 II-06
CSEC 525 13 Ocak 2020 10:00-12:00 II-04
IS 507 13 Ocak 2020 13:40 II-05
IS 531 13 Ocak 2020 13:40 II-06
IS 100 14 Ocak 2020 09:00-17:00 Enf Lab.
IS 524 14 Ocak 2020 09:40 II-01
IS 785 14 Ocak 2020 13:40 II-01
CSEC 506 14 Ocak 2020 13:40 II-06

Announcement Category

METU Cyber Security Workshop will be held on December 19-20, 2019

METU Cyber Security Workshop will be held on December 19-20, 2019 at METU Cultural Convention Center  B-hall. Program is available at http://cybersecurityworkshop.ii.metu.edu.tr/en/program-presentation-schedule  
The workshop is open to all graduate and undergraduate students.   

This wokshop aims to share graduate, doctorate and other research studies; as well as be a gathering of academicians and to discuss possible joint studies and future collaborations.

In this workshop METU faculty members, research assistants and students will present their thesis and other academic studies.

There will be presentations of the laboratory / research groups in METU working on cyber security research.

This workshop is jointly organized by the following units.

  • METU Cyber Security Center, SIMER
  • METU Informatics Institute, Department of Cyber Security, II and CSEC
  • METU Institute of Applied Mathematics, Department of Cryptography, IAM and CRYP
  • METU Computer Engineering, CENG
  • METU Electrical and Electronics Engineering, EE
  • METU Computer Education and Instructional Technology, CEIT

We invite METU academics and students working in cyber security related fields to contribute to this workshop.

Announcement Category

Hatice Buket İkizoğlu, Exploring Hand Movement Dynamics During the Simon Task: A Mouse Tracking Study

Msc. Candidate: Hatice Buket İkizoğlu

Program: Cognitive Science

Date:  13.12.2019 14:00

Place: B-116

Abstract: Understanding the how the cognitive system processes information in real time is one of the key concerns for researchers in experimental psychology and cognitive science. Several measures and software tools have been proposed to explore different aspects of cognitive processing phenomena. One of these methods, mouse-tracking, helps researches to trace the participants’ hand movements during cognitive tasks which may be a reflection of their mental processes. Mouse-tracking method allows researchers to collect data about the dynamic unfolding of motor responses, and thus, provides additional insights about the process through which outcome-based measures such as reaction times or error rates are observed. Although the mental processes are treated as having discrete labels in traditional cognitive science, the new perspective indicates continuous processing of mind trajectories. Continuous and probabilistic representation of mental phenomena points out the continuous trajectory of the mind which travels through the set of possible brain states. Mouse Tracker’s real-time response data may shed light on continuous perspective of mind trajectories and temporal dynamics of cognitive processes. From this point of view the Simon Task which known as “stimulus-response compatibility effect” will be implemented with Mouse Tracker software. The collected multiple response alternatives will be analyzed in the light of continuous processing phenomena in an effort to shed further light into how the temporal dynamics of cognitive and motor processes contribute to the Simon effect.

Announcement Category

Babak Allahgholipour, Multi-Sensory Perception in Virtual World Animation Using Mcgurk Effect

Msc. Candidate: Babak Allahgholipour

Program: Multimedia Informatics

Date: 09.12.2019

Place: A-212

Abstract: Information about multisensory perception and brain cognition mechanism lead to a better virtual world creation. Brain store visual and auditory information to use in predicting future events. Image memory takes information from visual clues which during speech recognition happens by recording visual information and its auditory mappings. Based on this process, brain create prediction mechanism for future events. In speech recognition brain record sound and its visual presentation. When brain encounter difficulty in perception an auditory stimuli, it looks for visual mappings to guess the result. Considering the fact that some completely unrelated similarity may exist, some mapping may not lead to better understanding the world around. When previous information mislead the brain to understand the situation cognitive biases happen. McGurk Effect discusses how different lip movements affect auditory perception to get disparate information. Variety of factors influence amount of dependency on visual clues. Tracking speaking, especially in challenging environments, can be increased by visual clues such as face expressions, tongue and lips movements. Considering these elements in virtual world and game designing lead to improving believability. Perception processes, brain nature, designing factors, graphical elements, and visual structures are discussed to find out improved ways in designing realistic auditory and visual components.

Announcement Category

Kanser Sistem Biyolojisi Laboratuvarı (KanSİL) Uygulamalı Birim Öğretim Görevlisi Nihai Sonuçları

02.12.2019 tarihinde yapılan giriş sınavı sonucunda Kanser Sistem Biyolojisi Laboratuvarı (KanSİL) Uygulamalı Birim Öğretim Görevlisi olmaya hak kazanan adayın ismi aşağıda belirtilmektedir.

ADI SOYADI

ALES

LİSANS MEZUNİYET

YABANCI DİL

GİRİŞ SINAVI

TOPLAM

 

DENİZ CANSEN KAHRAMAN

75.12851

89.50

90.00

90.00

85.39

 

Announcement Category

Gökçe Komaç, A Study of Using a Persuasive Game as a Tool to Raise Awareness About Trolling Behavior

This study is about using a persuasive game as a tool to raise awareness about trolling behavior. A game about online trolling behavior is designed and implemented. After exploring how the toxic behaviors that are considered as trolling in the context of online gaming are perceived, this study observes if the persuasive game has an influence in raising awareness and knowledge about these behaviors.

Date: 09.12.2019 / 10:00 Place: A-212

English

Atıl İlerialkan, Speaker and Posture Classification Using Instantaneous Acoustic Features of Breath Signals

Features extracted from speech are widely used for problems such as biometric speaker identification, but the use of speech data raises concerns about privacy. We propose a method for speech and posture classification using only breath data. The acoustical information was extracted from breath instances using the Hilbert-Huang transform and fed into our CNN-RNN network for classification. We also created our publicly available dataset, BreathBase, which contains more than 5000 breath instances of 20 participants in 5 different postures with 4 different microphones. Using this data, 85% speaker classification and 98% posture classification accuracy is obtained.

Date: 27.11.2019 / 15.00 PlaceA-212

English

Pages

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