Ekin, Cansu Çiğdem

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Aydin, Cansu Cigdem
Cansu Cigdem, Ekin
E.,Cansu Çiğdem
Aydin C.
Ekin, Cansu Cigdem
Ekin, Cansu
Aydin, C. C.
E., Cansu Çiğdem
C. C. Ekin
E., Cansu Cigdem
C.C.Ekin
C.Ç.Ekin
C., Ekin
Ekin, Cansu Çiğdem
C. Ç. Ekin
E.,Cansu Cigdem
Ekin, Cansu C.
Ekin,C.C.
Cansu Çiğdem, Ekin
C.,Ekin
Ekin,C.Ç.
Ekin C.
Aydın, Cansu Ciğdem
Rouyendegh, Babak Daneshvar
Rouyendegh (B Erdebilli), Babak Daneshvar
Job Title
Doçent Doktor
Email Address
cansu.aydin@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

5

GENDER EQUALITY
GENDER EQUALITY Logo

0

Research Products

14

LIFE BELOW WATER
LIFE BELOW WATER Logo

1

Research Products

10

REDUCED INEQUALITIES
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0

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3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo

2

Research Products

2

ZERO HUNGER
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2

Research Products

9

INDUSTRY, INNOVATION AND INFRASTRUCTURE
INDUSTRY, INNOVATION AND INFRASTRUCTURE Logo

1

Research Products

16

PEACE, JUSTICE AND STRONG INSTITUTIONS
PEACE, JUSTICE AND STRONG INSTITUTIONS Logo

0

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11

SUSTAINABLE CITIES AND COMMUNITIES
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0

Research Products

8

DECENT WORK AND ECONOMIC GROWTH
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0

Research Products

13

CLIMATE ACTION
CLIMATE ACTION Logo

1

Research Products

4

QUALITY EDUCATION
QUALITY EDUCATION Logo

8

Research Products

6

CLEAN WATER AND SANITATION
CLEAN WATER AND SANITATION Logo

0

Research Products

1

NO POVERTY
NO POVERTY Logo

1

Research Products

15

LIFE ON LAND
LIFE ON LAND Logo

0

Research Products

17

PARTNERSHIPS FOR THE GOALS
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0

Research Products

7

AFFORDABLE AND CLEAN ENERGY
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12

RESPONSIBLE CONSUMPTION AND PRODUCTION
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This researcher does not have a Scopus ID.
Documents

14

Citations

165

Scholarly Output

42

Articles

23

Views / Downloads

4/0

Supervised MSc Theses

4

Supervised PhD Theses

0

WoS Citation Count

563

Scopus Citation Count

646

WoS h-index

15

Scopus h-index

15

Patents

0

Projects

0

WoS Citations per Publication

13.40

Scopus Citations per Publication

15.38

Open Access Source

8

Supervised Theses

4

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JournalCount
Tehnicki Vjesnik4
3rd International Conference on Information Management and Evaluation (ICIME) -- APR 16-17, 2012 -- Atilim Univ, Performance Management & Applicat Res Ctr, Ankara, TURKEY3
Journal of Applied Mathematics2
Journal of Systems Architecture2
UBMK 2018 - 3rd International Conference on Computer Science and Engineering -- 3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- Sarajevo -- 1435602
Current Page: 1 / 6

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Scholarly Output Search Results

Now showing 1 - 10 of 42
  • Conference Object
    Citation - WoS: 6
    Curriculum Change Parameters Determined by Multi Criteria Decision Making (mcdm)
    (Elsevier Science Bv, 2014) Erkan, Turan Erman; Rouyendegh, Babak Daneshvar
    Curriculum, research, instruction, learning and assessment are the pulse of the university. The main purpose of this study is to fill a substantial knowledge gap regarding reaching a uniform group decision in Industrial engineering curriculum design and planning. A comprehensive quality based course criterion model extracted from existing literature and expert opinions was developed. Multi Criteria Decision Making (MCDA) was used to identify the relative importance of course criteria for the purpose of tailoring an optimal four Industrial engineering curriculum for Bachelor's Degree students in Turkey.. The hierarchical model and analysis utilized in the present study will be useful for resolving several important multi-criteria decision-making issues in planning and evaluating Industrial Engineering programs. (C) 2013 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Academic World Education and Research Center.
  • Article
    Citation - WoS: 4
    Citation - Scopus: 6
    On Profust Reliability of Coherent Systems: Signature-Based Expressions
    (Sage Publications Ltd, 2013) Eryilmaz, Serkan; Rouyendegh, Babak Daneshvar
    In this article we study profust reliability of non-repairable coherent systems through the concept of system signature. We obtain explicit expressions for the profust reliability and mean time to fuzzy failure of coherent systems. We compute and present mean time to failure and mean time to fuzzy failure of all coherent systems with three and four components. Finally, we illustrate the results for a well known class of coherent systems called m-consecutive-k-out-of-n:F.
  • Conference Object
    Citation - WoS: 1
    A Fuzzy Ahp for Evaluation of Ecommerce Websites Performance
    (Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar
    eCommerce has become an essential part of business strategy in the rising (emerging) global economy. In order to be successful in the eCommerce marketplace, organizations will need to provide high quality websites that attract and retain users. It is a need to understand and evaluate eCommerce websites to achieve high quality. Evaluation of eCommerce websites is a multiple criteria decision making (MCDM) problem since it includes analysis of both qualitative and quantitative factors. Also human judgment has taken part in this process. This paper presents FAHP to evaluate three eCommerce websites. The results will be a guide for decision makers in terms of improvable areas to design eCommerce websites.
  • Article
    Citation - WoS: 29
    Citation - Scopus: 32
    Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy Mcdm Approach: a Theoretical Framework
    (Hindawi Ltd, 2018) Abdulgader, Fathia Sghayer; Eid, Rajeh; Rouyendegh (B Erdebilli), Babak Daneshvar
    In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 19
    Effectiveness of Smart Toy Applications in Teaching Children With Intellectual Disability
    (Elsevier, 2018) Ekin, Cansu C.; Cagiltay, Kursat; Karasu, Necdet
    Play is an important element in a child's social and intellectual development and toys are indispensable play tools. This study investigates the effectiveness of smart toys in teaching social studies concepts to children with intellectual disability (ID). A single-subject design is used to identify such effects on teaching social studies concepts to children with ID with the help of smart toys developed within this study. The smart toys are also developed within the scope of present work. Three special education teachers and three children with moderate ID participated in the study, which was carried out in two schools in Turkey. According to the results, smart toys have a positive effect in teaching social studies concepts to children with moderate ID which is significant in development of academic and social skills for individuals with ID.
  • Master Thesis
    Yükseköğretim Araştırma Eğilimlerinin Gizli Dirichlet Tahsisi ile Analiz Edilmesi: Bir Metin Madencilik Yaklaşımı
    (2023) Alrayashı, Abdulazız Mohammedabdullah; Ekin, Cansu Çiğdem
    Bu tez, Web of Science'ta (WOS) endekslenen 69.000'den fazla akademik yayından oluşan geniş bir külliyatı analiz ederek yüksek öğretimdeki araştırma eğilimlerini araştırmaktadır. Çalışma, yüksek öğretim araştırma ortamına ilişkin daha derin bir anlayış kazanmak için bibliyometrik analiz ve konu modelleme tekniklerinin, özellikle Gizli Dirichlet Tahsisi'nin (LDA) bir kombinasyonunu kullanır. Bibliyometrik analiz, yüksek öğretimle ilgili WOS yayınlarının istatistiksel dağılımlarının kapsamlı bir incelemesini sunar. Bu, yüksek öğretimdeki araştırma bağlamını anlamak için sağlam bir temel sağlayan yayın eğilimleri, belge türleri, diller ve araştırma alanları gibi unsurları içerir. Buna paralel olarak, LDA kullanan konu modelleme analizi, alandaki ana araştırma eğilimlerini, konuları ve sıklıkla ele alınan konuları ortaya çıkararak araştırma temalarının zaman içindeki gelişimine ışık tutar. Bu çalışma, hem bibliyometrik hem de konu modelleme metodolojilerini birleştirerek yüksek öğretim araştırmalarının mevcut durumunun kapsamlı bir resmini sunmaktadır. Bulgular, alanın karmaşıklığının ve karşılıklı bağımlılığının altını çizerek, yüksek öğretimde var olan olasılıkları ve sorunları ele almak için çok disiplinli bir stratejiye duyulan ihtiyacı vurgulamaktadır. Sonuçlar, yüksek öğretim araştırmalarındaki bilgi birikimine katkıda bulunur ve bu alandaki en son gelişmeler ve eğilimler hakkında güncel kalmak isteyen akademisyenler, karar vericiler ve uygulayıcılar için yararlı bir araçtır.
  • Conference Object
    Citation - WoS: 1
    An Undergraduate Curriculum for Deep Learning
    (Ieee, 2018) Tirkes, Guzin; Ekin, Cansu Cigdem; Sengul, Gokhan; Bostan, Atila; Karakaya, Murat
    Deep Learning (DL) is an interesting and rapidly developing field of research which has been currently utilized as a part of industry and in many disciplines to address a wide range of problems, from image classification, computer vision, video games, bioinformatics, and handwriting recognition to machine translation. The starting point of this study is the recognition of a big gap between the sector need of specialists in DL technology and the lack of sufficient education provided by the universities. Higher education institutions are the best environment to provide this expertise to the students. However, currently most universities do not provide specifically designed DL courses to their students. Thus, the main objective of this study is to design a novel curriculum including two courses to facilitate teaching and learning of DL topic. The proposed curriculum will enable students to solve real-world problems by applying DL approaches and gain necessary background to adapt their knowledge to more advanced, industry-specific fields.
  • Article
    Citation - WoS: 17
    Citation - Scopus: 22
    Seven Principles of Instructional Content Design for a Remote Laboratory: a Case Study on Errl
    (Ieee-inst Electrical Electronics Engineers inc, 2011) Cagiltay, Nergiz Ercil; Aydin, Elif; Aydin, Cansu Cigdem; Kara, Ali; Alexandru, Marian
    This paper discusses the results of a study of the requirements for developing a remote radio frequency (RF) laboratory for electrical engineering students. It investigates students' preferred usage of the technical content of a state-of-the-art RF laboratory. The results of this study are compared to previous findings, which dealt with other user groups (technicians in technical colleges and engineers in the RF domain). Based on the results of these analyses, seven essential principles for designing and developing such a laboratory were identified. As a case study, these principles were then implemented into a remote laboratory system. In this paper, the implementation examples are also provided and discussed. The primary aim of this study is to guide remote laboratory platform developers toward the most effective instructional design. This study also determined, from the remote laboratory system case study, what the requirements are of such a laboratory from the students' perspective.
  • Conference Object
    Citation - Scopus: 2
    Mba Students' Preference On: Online, Formal and Hybrid Mba Programs
    (Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman
    In recent years, there has been a rapid rise in student enrolments in both online and formal MBA programs. This study is based on the results of a case study in which over 30 students enrolled in a top-ranked online and formal MBA program. Thus, the Fuzzy Analytic Hierarchy Process (FAHP) has been used for choosing the program. Due to the inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process, the FAHP has been used. The result of the research is interesting since neither an online nor a formal education program is preferred; a hybrid one has been developed. (C) 2011 Published by Elsevier Ltd.
  • Article
    Citation - WoS: 76
    Citation - Scopus: 73
    Measuring the Efficiency of Hospitals: a Fully-Ranking Dea-Fahp Approach
    (Springer, 2019) Rouyendegh, Babak Daneshvar; Oztekin, Asil; Ekong, Joseph; Dag, Ali
    The goal of this study is to present a DEA-based fuzzy multi-criteria decision making model for firms in the health care industry in order to enhance their business performance. The study demonstrates a real-life use of the proposed model, mainly designed for hospitals. Data envelopment analysis enhanced with fuzzy analytic hierarchy process are collectively utilized to quantify the data and structure the model in decision-making. The juxtaposition of the two methods is used to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid model provides several benefits, one of which is the ability to make the most appropriate decision considering the value of the weights determined by the data from the hybrid model.