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
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
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Scholarly Output
40
Articles
21
Citation Count
307
Supervised Theses
3
40 results
Scholarly Output Search Results
Now showing 1 - 10 of 40
Conference Object Citation - Scopus: 2An Undergraduate Curriculum for Deep Learning(Institute of Electrical and Electronics Engineers Inc., 2018) Tirkes,G.; Ekin,C.C.; Engul,G.; Bostan,A.; Karakaya,M.; Computer EngineeringDeep 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. © 2018 IEEE.Article Citation - WoS: 65Citation - Scopus: 87An Application of the Fuzzy Electre Method for Academic Staff Selection(Wiley, 2013) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringThere are various methods regarding staff selection in different fields. Thanks to the increasing improvements in the field of education, universities around the world tend to demand high -quality and professional academic staff. Staff selection is a multi-criteria decision-making processes, and of strategic importance for most universities. This study deals with actual application of academic of staff selection using the opinion of experts to be applied into a model of group decision - making called the Fuzzy ELECTRE (Elimination Et Choix Traduisant la REaite) method. There are ten qualitative criteria for selecting the best candidate amongst five prospective applications. (c) 2012 Wiley Periodicals, Inc.Review Citation - WoS: 26Citation - Scopus: 39Drawing the Big Picture of Games in Education: a Topic Modeling-Based Review of Past 55 Years(Pergamon-elsevier Science Ltd, 2023) Ekin, Cansu C.; Polat, Elif; Hopcan, Sinan; Computer EngineeringThe literature of games in education has a rich and multidisciplinary content. Due to the large number of studies in the field, it is not easy to analyze all relevant studies. There are few studies exploring the big picture of research trends in the field. For this reason, the purpose of this study is to examine longitudinal trends of game-based research in education using text mining tech-niques. 4980 publications were retrieved as an experimental dataset indexed by the SCOPUS database in the period 1968 to mid-2021. The results include descriptive statistics of game-based research, trends of the research topics, and trends in the frequency of each topic over time. They show that the number of studies focusing on the use of games in education has increased, particularly since the 2000s when Internet use accelerated and became widespread. Approxi-mately 70% of all the studies were conducted in the last 10 years. One third of the studies is related to the main topic of game-based learning. It is significant that in the last three decades the topic of serious games has been among the top three trends. Considering usage acceleration of the topics, the highest values belong to game-based learning, serious games and student science games, in that order. The findings of this study are expected to guide the field by providing a better understanding of the trends of games in education and offer a direction for future research.Article Citation - WoS: 4Citation - Scopus: 13User Study of a New Smart Toy for Children's Storytelling(Routledge Journals, Taylor & Francis Ltd, 2014) Kara, Nuri; Aydin, Cansu Cigdem; Cagiltay, Kursat; Computer EngineeringThis article introduces StoryTech, a smart storytelling toy that offers children a mixed reality environment in which to tell imaginative stories. During usability testing, an empirical study was carried out with 90 child participants. The findings indicated that StoryTech creates a rich storytelling experience, especially for ages five and six.Article Citation - WoS: 4Citation - Scopus: 6On Profust Reliability of Coherent Systems: Signature-Based Expressions(Sage Publications Ltd, 2013) Eryilmaz, Serkan; Rouyendegh, Babak Daneshvar; Industrial Engineering; Computer EngineeringIn 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: 1A Fuzzy Ahp for Evaluation of Ecommerce Websites Performance(Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak Daneshvar; Computer EngineeringeCommerce 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: 20Citation - Scopus: 26Development 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; Mathematics; Computer EngineeringIn 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: 10Citation - Scopus: 18Effectiveness of Smart Toy Applications in Teaching Children With Intellectual Disability(Elsevier, 2018) Ekin, Cansu C.; Cagiltay, Kursat; Karasu, Necdet; Computer EngineeringPlay 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; Computer EngineeringBu 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: 1An Undergraduate Curriculum for Deep Learning(Ieee, 2018) Tirkes, Guzin; Ekin, Cansu Cigdem; Sengul, Gokhan; Bostan, Atila; Karakaya, Murat; Computer EngineeringDeep 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.
