Sağlık Bilgi Sistemleri Temel Sertifika Programı

ODTÜ Enformatik Enstitüsü, teorik birikim ile gündelik uygulamayı birleştirerek sağlık ve bilgi sistemlerinin her noktasındaki ilgi duyan çalışanlara yeni açılım imkanları sağlayacak, ODTÜ tarafından onaylı Sağlık Bilgi Sistemleri Temel Sertifika Programı "2017 SONBAHAR DÖNEMİ" kayıtları başlıyor.

Detaylı Bilgi ve Kayıt: http://hi.metu.edu.tr/sbs

Announcement Category

Event

Sağlık Bilişimi EABD Başkanlığı Mayıs 2017 Doktora Yeterlik Sınavı

Doktora yeterlilik sınav takvimi aşağıda belirtilmiştir.

Yazılı Sınav:

25 Mayıs 2017 Perşembe günü B-116 no.lu toplantı salonu (09:30 – 12:30)

26 Mayıs 2017 Cuma günü B-116 no.lu toplantı salonu (09:30 – 12)30

 

Sözlü Sınav:

29 Mayıs 2017 Pazartesi günü A-108 no.lu toplantı salonu (başlangıç saati öğrencilerimize duyurulacaktır)

 

Announcement Category

Announcement

Adaptive Control of Behaviour: Complex Supervision or Simple Retrieval?


Abstract: Cognitive control is the ability to adjust behaviour to meet task demands under a changing context. Incoming information is suppressed or processed in light of the current goal and the environment. There is an ongoing debate on whether the adaptive control of behaviour is governed by a supervisory mechanism or by retrieval of past events. I will describe our studies and discuss implications to resolving this debate.

Speaker: Dr. Nart Bedin Atalay -- Department of Psychology, TOBB University of Economics and Technology

Date/Time: Friday 5 May 2017, 12:40

Place: METU Graduate School of Informatics,  S0

Announcement Category

Seminar/Talk

A Shallow Introduction to Deep Learning by Sinan Kalkan



Abstract: Thanks to advances in computing technologies, availability of large amounts of data, and the discovery of new training techniques, deep learning has led to performance boost in many challenging problems across different domains. In this talk, I will make a very brief introduction to deep learning, focusing mainly on its properties, why it works and how it works.

Short bio: Sinan Kalkan received the M.Sc. degree in computer engineering from Middle East Technical University, Ankara, Turkey, in 2003, and the Ph.D. degree in informatics from the University of Göttingen, Göttingen, Germany, in 2008. He joined the Department of Computer Engineering at METU after his PhD. Sinan Kalkan’s research interests include computer vision, cognitive robotics and deep learning.

Location: Conference Room (124), METU Informatics Institute
Time: May 5, 2017, 12:40-13:30

Announcement Category

Seminar/Talk

Talk on Image & Video Compression by Prof. Gözde Bozdağı Akar

This Friday, Prof. Gözde Bozdağı Akar is going to give a seminar on image and video compression for GATE 590 Graduate Seminar course. You are all kindly invited.
Bio: Gözde B. Akar received the B.Sc. degree from Middle East Technical University, Ankara, Turkey, in 1988 and the M.Sc. and Ph.D. degrees from Bilkent University, Ankara, Turkey, in 1990 and 1994, respectively, all in electrical and electronics engineering. She was with the University of Rochester, Rochester, NY, Center of Electronic Imaging Systems as a Visiting Research Associate from 1994 to 1996. From 1996 to 1998, she worked as a Member of Research and Technical Staff at Xerox Corporation Digital Imaging Technology Center, Rochester. From 1998 to 1999, she was with Baskent University, Department of Electrical and Electronics Engineering. During the summer of 1999, she worked as a Visiting Researcher at the Multimedia Laboratories, New Jersey Institute of Technology. Currently, she is a Professor with the Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey. Her research interests are in 2-D and 3-D video compression, single/multi-frame superresolution, radar signal processing.
Abstract: Video compression technologies are about reducing and removing redundant video data so that a digital video file can be effectively sent over a network and stored on computer disks. With efficient compression techniques, a significant reduction in file size can be achieved with little or no adverse effect on the visual quality. The video quality, however, can be affected if the file size is further lowered by raising the compression level for a given compression technique. The same arguments are also valid for image compression. In this talk, I will introduce the basic steps in video coding, algorithms used to measure quality and where the image/ video compression community is heading.
Location: Conference Room (124), METU Informatics Institute
Time: 21 April 2017, 12:40-13:40

Announcement Category

Seminar/Talk

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