Announcement

announcement

2017-2018 Spring 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 580 23 Mayıs 2018 09:40-12:30 II-04
IS 728 23 Mayıs 2018 10:00 II-02
IS 747 23 Mayıs 2018 14:00 II-05
COGS 501 24 Mayıs 2018 13:40 - 16:30 II-01
CSEC 507 24 Mayıs 2018 13:40-16:30 II-02
IS 501 25 Mayıs 2018 13:40-16:00 II-02
SM 515 26 Mayıs 2018 09:40-12:00 II-05
IS 503 28 Mayıs 2018 09:40-12:30 II-02
CSEC 592 28 Mayıs 2018 12:40-13:30 II-02
CSEC 502 28 Mayıs 2018 13:40-16:30 II-02
MIN 524 29 Mayıs 2018 13:30 - 16:00 II-04
IS 507 29 Mayıs 2018 09:40 II-02
IS 502 29 Mayıs 2018 13:40 II-06
IS 504 29 Mayıs 2018 14:00 II-02
SM 561 29 Mayıs 2018 17:30 II-05
COGS 528 30 Mayıs 2018 09:00 II-03
COGS 502 30 Mayıs 2018 09:30 - 12:30 II-01
BIN 506 30 Mayıs 2018 10:00 - 12:00 II-05
CSEC 506 30 Mayıs 2018 13:40 II-06
MMI 727 31 Mayıs 2018 09:40 II-06
IS 787 31 Mayıs 2018 10:00 II-02
IS 724 31 Mayıs 2018 10:40 II-05
IS 771 31 Mayıs 2018 13:40 II-06
MIN 711 31 Mayıs 2018 13:30 - 16:00 II-04
BIN 508 01 Haziran 2018 09:30 - 12:30 II-01
CSEC 504 01 Haziran 2018 10:00 II-02
MIN 533 01 Haziran 2018 10:00 - 13:00 II-05
COGS 532 04 Haziran 2018 09:30 - 11:30 II-01
CSEC 510 04 Haziran 2018 10:00 II-02
COGS 536 04 Haziran 2018 13:40 II-03
IS 739 04 Haziran 2018 13:40 II-05
SM 512 04 Haziran 2018 18:00 II-05
DERSİN KODU PROJE VE SUNUM TARİHLERİ SAATİ YERİ
COGS 522 24 Mayıs 2018 11:40 - 14:30 II-03
MIN 503 25 Mayıs 2018 09:30 - 12:30 II-04
BIN 717 29 Mayıs 2018 10:00 - 12:00 II-05
BIN 503 29 Mayıs 2018 13:40 ENF.LAB.
BIN 515 31 Mayıs 2018 09:40 - 12:30 II-01
DERSİN KODU TAKE-HOME SAATİ YERİ
COGS 555      

Announcement Category

Cognitive Science Department Assistant Professor Position Openning

One Assistant Professor Position open in METU Cognitive Science until filled March 2019

Middle East Technical University Cognitive Science department seeks applicants for assistant professorship position (Dr. Öğretim Üyesi) in Cognitive Science. Eligible candidates must be Turkish citizens. Benefits (lodging, start up grants, kindergarten etc.) are potentially available if eligible and desired.

Candidates must hold a PhD in cognitive science or one of the fields in cognitive science, including computer science, computer engineering, linguistics, philosophy and psychology. Other candidates can be considered if they have a strong international research record in cognitive science.

Candidates must have a strong research record in modeling of large to massive data in an area within or closely related to cognitive science.  Duties include publishing high quality research, teaching two courses per term, advising MSc students in the department for thesis and graduation projects, advising PhD students if there is track record of having advised MSc theses earlier, participation in department’s activities and committees, seeking grant applications for research in cognitive science nationwide and internationally, and efforts to establish laboratories for research.  The department has granted 131 MSc theses and 28 PhDs in the last twenty years.

A search committee will evaluate the applications; final appointment approval pending on university and YÖK decision. For consideration please contact cogs@metu.edu.tr with research portfolio and cover letter.

Announcement Category

Cognitive Science Department TUBITAK 2232 International Fellowship Call

METU Cognitive Science Department seeks researchers from all levels of experience to promote for TUBITAK 2232  International Fellowship for Outstanding Researchers Program

Applications are sought to promote for application to TUBITAK 2232 (https://www.tubitak.gov.tr/sites/default/files/2204/2232_english.pdf) grants on behalf of Middle East Technical University Cognitive Science department. Turkish citizens and other nationals are eligible. Please check the TUBITAK page cited above for qualifications, opportunities and services.

These grants require a Turkish host institution to invite successful applicants for 2 to 3 year work in Turkey. Our university will help potential candidates to write a successful 2232 grant application to TUBITAK, which is the funding agency for the appointment. METU Cognitive Science department will write an endorsing document to the university president to fulfill the requirement for chosen candidates.

We seek applicants with strong international research record in any area of Cognitive Science who can make a difference in the department. The department has granted 131 MSc theses and 28 PhDs in the last twenty years. A departmental search committee will evaluate the applications for promotion to write a 2232 grant. Successful completion of 2232 may lead to offer of permanent position if available.

For consideration please contact cogs@metu.edu.tr, with research portfolio and cover letter.

Announcement Category

Cyber Security Department Research Assistant Exam

Cyber Security Department Research Assistant exam will be held on 20 February Wednesday at 10:00 in A Block 113. The names of the candidates who will enter the evaluation exam are as follows:

SIRA NO

ADI

SOYADI

ALES PUANI

YABANCI DİL PUANI

LİSANS MEZUNİYET NOTU

 

1

ASLI BAŞAK

CİVEK

78.77

76.25

2.69

 

2

MELİH

ŞIRLANCI

89.71

87.5

3.76

 

*This list is alphabetical by last name.

Announcement Category

Modeling and Simulation Department Research Assistant Exam

Modeling and Simulation Department Research Assistant exam will be held on 20 Februay 2019  Wednesday at 10:30 in B Block 116. The names of the candidates who will enter the evaluation exam are as follows:

SIRA

ADI

SOYADI

ALES PUANI

YABANCI DİL PUANI

LİSANS MEZUNİYET NOTU

1

KADİR BERKAY

AYDEMİR

84.77

85

2.65

2

KEREM ALİ

DOĞAN

87.77

95

3.02

3

EGE ERDEM

ERDEM

82.57

85

3.03

This list is alphabetical by last name.

Announcement Category

Information Systems Department Research Assistant Exam

Information Systems Department Research Assistant exam will be held on 20 February 2019 Wednesday at 15:00 in B Block 116. The names of the candidates who will enter the evaluation exam are as follows:

SIRA NO

ADI

SOYADI

ALES PUANI

YABANCI DİL PUANI

LİSANS MEZUNİYET NOTU

1

LATİF

ÇANDIR

97.19

88.75

3.47

2

SELİN

ÇOBAN

82.94

86.25

3.39

3

SERKAN

ÖZDEMİR

84.29

95

2.93

*This list is alphabetical by last name.

Announcement Category

Cognitive Science Department Research Assistant Exam

Cognitive Secince Department Research Assistant exam will be held on 20 February 2019 Wednesday at 10:00 in Classroom 5.  The names of the candidates who will enter the evaluation exam are as follows:

SIRA NO

ADI

SOYADI

ALES PUANI

YABANCI DİL PUANI

LİSANS MEZUNİYET NOTU

 

1

SAMET

ALBAYRAK

94.27

100

2.78

 

2

HÜSEYİN

ALEÇAKIR

79.19

77.5

3.01

 

3

MEDİHA REYYAN

BAŞ

81.19

92.50

2.73

 

4

HAMİT

BAŞGÖL

84.94

83.75

3.39

 

5

TUĞÇE NUR

BOZKURT

83.87

100

3.6

 

6

SALİH FIRAT

CANPOLAT

82.47

93.75

3.64

 

7

MUSTAFA EROLCAN

ER

95.57

82.5

3.31

 

8

ŞURA

GENÇ

78.81

92.5

3.7

 

9

İZLEN

GENECİ

90.52

88.75

2.37

 

10

TUĞÇE

GÖLGELİ

89.30

82.5

2.71

 

11

EMEL

GÜLÇEK

75.86

86.25

2.24

 

12

HACER

GÜNER

80.33

92.5

3.85

 

13

ASİYE TUBA

KÖKSAL

86.18

80

2.39

 

14

ZUHAL

ORMANOĞLU

85.56

96.25

2.86

 

15

MUSTAFA

ÖZAYDIN

91.51

87.5

3.24

 

16

ZEYNEP BURCU

ÖZYURT

86.77

85

2.75

 

17

GİRAY

SONGÜL

80.77

90

3.73

 

18

KEREM ALP

USAL

95.17

98.75

3.01

 

19

NAZ BUSE

YILMAZ

79.09

82.5

3.32

 

*This list is alphabetical by last name.

Announcement Category

Health Informatics Department Research Assistant Exam

Health Informatics Department Research Assistant exam will be held on 20 February 2019 Wednesday at 10:00 in A Block 108. The names of the candidates who will enter the evaluation exam are as follows:

SIRA NO

ADI

SOYADI

ALES PUANI

YABANCI DİL PUANI

LİSANS MEZUNİYET NOTU

 

1

İREM

AKSOY CANKUR

87.38

87.5

3.06

 

2

MÜSLÜM KAAN

ARICI

82.75

82.5

3.43

 

3

MELİKE

ÇAĞLAYAN

81.85

83.75

2.93

 

4

FATMA

CANKARA

82.58

96.25

3.22

 

5

ANIL BERK

DELİKAYA

78.29

75

3.20

 

6

CANSU

DİNÇER

89.25

87.5

3.10

 

7

FATMA ÜLKEM

KASAPOĞLU

83.83

81.25

2.87

 

8

GÖRKEM

POLAT

90.43

90

2.88

 

9

ESRA

SİNOPLU

82.98

90

3.20

 

10

ALPEREN

TACİROĞLU

88.32

89

2.79

 

*This list is alphabetical by last name.

Announcement Category

Thesis defense - YASER YURTCAN

Graduate School of Informatics /Information Systems

In partial fulfillment of the requirements for the degree of Master of YASER YURTCAN will defend his thesis.

Title: Performance Evaluation of Real-Time Noisy Speech Recognition For Mobile Devices

Date: 12th February 2019

Time: 10:30 AM

Place: A-212

Abstract: Communication is important for people. There are many available communication methods. One of the most effective methods is through the use of speech. People can comfortably express their feelings and thoughts by using speech. However, some people may have a hearing problem. Furthermore, understanding spoken words in a noisy environment could be a challenge even for healthy people. Speech recognition systems enable real-time speech to text conversion. They mainly involve capturing of the sound waves and converting them into meaningful texts.

The use of speech recognition on mobile devices has been possible with the development of cloud systems. However, delivering a robust and low error rate speech recognition system in a noisy environment still is a major problem. In this study, different speech samples have been recorded using a compact microphone array in noisy environments and a data set has been created by processing them through a real-time noise cancellation algorithm. A portable design of a mobile system with noise cancellation hardware and software was proposed to convert spoken words to a meaningful text.

Comprehensive tests were performed on several clean, noisy and denoised speech samples to measure the speech recognition performance of different cloud systems, noise robustness of the proposed system, the effect of gender on the speech recognition performance, and the performance improvement. The experimental results show that the proposed system provides good performance even in a noisy environment. It is also inferred from the results that in order to apply speech recognition using cloud based systems on mobile devices, the noise level has to be low or real-time noise cancellation algorithms are needed. The proposed system improves speech recognition accuracy in noisy environments. Thus, the achieved performance and portable design together enable the system to be used in daily life.

Synopsis: The aim of this study is to improve noisy speech recognition performance on mobile
devices. This study approaches the problem as a system design issue and integrates
suitable hardware and software components to achieve the desired results. The proposed system is described in detail, explain the specifications of the noise cancellation algorithm used, state reasons of selected transfer media and describe an application of speech recognition. Detailed results are provided and discussed. Therefore, improving the existing noise cancellation or speech recognition algorithms is beyond the scope of this thesis.

Announcement Category

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