Aslan, Burak Galip

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Name Variants
Aslan, Burak
Aslan, Burák Galip
Job Title
Email Address
burakaslan@iyte.edu.tr
Main Affiliation
03.04. Department of Computer Engineering
Status
Current Staff
Website
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
2
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
3
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

6

Citations

53

h-index

4

This researcher does not have a WoS ID.
Scholarly Output

10

Articles

2

Views / Downloads

7842/5015

Supervised MSc Theses

3

Supervised PhD Theses

0

WoS Citation Count

29

Scopus Citation Count

53

Patents

0

Projects

0

WoS Citations per Publication

2.90

Scopus Citations per Publication

5.30

Open Access Source

9

Supervised Theses

3

JournalCount
Lecture Notes in Computer Science3
44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 20141
Educational Sciences: Theory & Practice1
Ege Eğitim Dergisi1
International Conference on Intelligent Systems Design and Applications, ISDA 20071
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Scopus Quartile Distribution

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Scholarly Output Search Results

Now showing 1 - 10 of 10
  • Master Thesis
    Scheduling the Turkish Soccer League Using Mathematical Programming
    (Izmir Institute of Technology, 2013) Güney, Faruk; Aslan, Burak Galip
    Generating a fair and feasible schedule is a difficult challenge for sports league organizers because of having various requirements from various involved parties. Some of these requirements are fairness requirements. Turkish Soccer League should be scheduled by according to these requirements especially because of the reduction of the confidence in Turkish Soccer League organizers and authorities due to the case of match fixing in recent years. As scheduling Turkish Soccer League, the prior requirements in our study are the minimization of the total number of break, carry over effect (COE) value of a schedule in addition to meeting the conflicting venue constraints. We decomposed scheduling process in phases to facilitate our solution. We used a different variation of first-break-then-schedule approach, proposed by Rasmussen and Trick (2008), to meet break conditions initially and solved each phase by applying different mathematical programming techniques including Integer Programming (IP) and Constraint Programming (CP). Our study generates a schedule having carry over effect (COE) value which is one of the lowest ones in European soccer competitions, in addition to minimizing total number of breaks.
  • Article
    Lise Öğrencilerine Bilgisayar Donanımı Öğretimi: Devremi Kuruyorum
    (Ege Üniversitesi, 2017) Çiloğlugil, Birol; Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    Bu çalışmada, lise öğrencilerinin bilgisayar donanımının temellerini ve ilişkili olduğu matematiksel altyapıyı kavramalarını hedefleyen bir mühendislik farkındalık projesinin yapısı ve sonuçları ortaya konmaktadır. Proje kapsamında temel sayısal elektronik devre tasarımı prensipleri tanıtılmaktadır. Gerçek hayat problemlerinin bir donanım laboratuvarı ortamında öğrencilerin kendi tasarımları ile uygulanması sağlanarak proje içeriği zenginleştirilmiştir. Proje süresince öğrencilerin aktif olduğu tasarım etkinlikleri yardımıyla tecrübe ederek öğrenmeleri yoluna gidilmiştir. Ayrıca, sosyal etkinlik olarak, kampüs yaşamı ve tesislerin tanıtımı için kampüs gezisi ve yaratıcı drama kullanılmıştır. Bunlara ek olarak, proje kapsamında öğrenciler elektronik ve bilgisayar mühendisliği alanları ile ilgili bilgilendirilmiştir. Bu çalışma 35, 10. sınıf öğrencisi ile gerçekleştirilmiştir. Projenin eğitsel bölümü beş günde tamamlanmıştır. Mini sınavlar, günlük sanal sınıf oturumları, mesleki eğilim belirleme cetveli, proje değerlendirme formu, genel değerlendirme oturumu (odak grup görüşmesi) ve veli geribildirimleri proje çıktılarının değerlendirilmesi için kullanılmıştır. Proje ekibinin, öğrencilerin ve velilerin proje ile ilgili olumlu geribildirimleri, önümüzdeki yıllarda bu projenin geliştirilmiş yeni sürümleri üzerinde çalışmak için teşvik edicidir.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 5
    Machine Learning Based Learner Modeling for Adaptive Web-Based Learning
    (Springer Verlag, 2007) Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    Especially in the first decade of this century, learner adapted interaction and learner modeling are becoming more important in the area of web-based learning systems. The complicated nature of the problem is a serious challenge with vast amount of data available about the learners. Machine learning approaches have been used effectively in both user modeling, and learner modeling implementations. Recent studies on the challenges and solutions about learner modeling are explained in this paper with the proposal of a learner modeling framework to be used in a web-based learning system. The proposed system adopts a hybrid approach combining three machine learning techniques in three stages.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 12
    A Review of Cloud Deployment Models for E-Learning Systems
    (Institute of Electrical and Electronics Engineers Inc., 2013) Leloğlu, Engin; Ayav, Tolga; Aslan, Burak Galip
    With the significant growth in the cloud-based systems, many industries give their attention to cloud computing solutions. E-learning is a promising application area since its typical requirements such as dynamically allocation of computation and storage resources, coincide well with cloud characteristics. This paper presents some possible cloud solutions in e-learning environments by emphasizing its pros and cons. It is of paramount importance to choose the most suitable cloud model for an e-learning application or an educational organization in terms of scalability, portability and security. We distinguish various deployment alternatives of cloud computing and discuss their benefits against typical e-learning requirements.
  • Master Thesis
    Comparison of Document Classification Approaches for Turkish Texts
    (Izmir Institute of Technology, 2015) Çobanoğlu, Özlem Ece; Aslan, Burak Galip
    Internet usage is exponentially growing day by day. This rapid growth in Internet usage leads to an explosion in the number of electronic documents being produced daily. The huge bulk of documents make it difficult accessing the necessary and relevant information. Due to lack of logical organization, retrieval and processing of the desired information from huge number of documents becomes a complex and time consuming task with human effort. Therefore, document classification is significant task to manage and process the documents. In this thesis, the performance of different classification approaches produced from several algorithms is thoroughly evaluated. The main goal of the thesis is to determine the best combination of document preprocessing steps and classification algorithms. Different feature weighting, construction and selection methods are experimented on Turkish documents. Stemmed and original words and their bi-gram and tri-gram forms are used to construct the features which represent the documents. The effects of several weighting algorithms and the combination of feature selection and weighting algorithms on 3 different classification approaches are interpreted. The performance of 216 different classification process combinations are analyzed. Experimental results show that C4.5 (C4.5 Decision Tree) classification algorithm has the highest accuracy results in 95% of the results. SVM (Support Vector Machine) algorithm produces the closest results to C4.5 and it provides the highest accuracy in 5% of the experimental results. NB (Naive Bayes) algorithm has always the lowest accuracy rate in these 3 different classification algorithm results.
  • Conference Object
    Citation - WoS: 11
    Citation - Scopus: 20
    Learning Styles Diagnosis Based on Learner Behaviors in Web Based Learning
    (Springer Verlag, 2009) Atman, Nilüfer; İnceoğlu, Mustafa Murat; Aslan, Burak Galip
    Individuals have different backgrounds, motivation and preferences in their own learning processes. Web-based systems that ignore these differences have difficulty in meeting learners' needs effectively. One of these individual differences is the learning style. For providing adaptively incorporated learning styles, firstly learning styles of learners have to be identified. There are many different learning models in literature. This study is based on Felder and Silverman's Learning Styles Model and investigates only active/reflective and visual/verbal dimensions of this model. Instead of filling out a questionnaire, learner behaviors are analyzed with the help of literature-based approaches so that learning styles of learners can be detected.
  • Master Thesis
    Heuristic Container Placement Algorithms
    (Izmir Institute of Technology, 2003) Aslan, Burak Galip; Püskülcü, Halis
    With the growth of transportation over sea; defining transportation processes in a better way and finding ways to make transportation processes more effective have become one of the most important research areas of today. Especially in the last quartet of the previous decade, the computers had become much powerful tools with their impressive amount of data processing cababilites. It was imminent that computers had begun taking serious roles in the system development studies. As a result; constructing models for the processes in container terminals and processing the data with the computers create opportunities for the automation of various processes in container terminals. The final step of these studies is the full automation of terminal activities with software packages that combine various functions focused on various processes in a single system.This study is about a project that had been made for a container terminal owned by a special company. During this study; there had been discussions with experts about the subject, and container handling processes in the terminal had been analyzed in order to define the main structure of the yard management software to be created.This study focuses on the container handling activities over the yard space so as to create a basis for a computer system that will take part in the decisions during the container operations. Object oriented analysis and design methods are used for the definition of the system that will help the decisions in the yard operations. The optimization methodology that will be the core of the container placement decisions is based on using different placement patterns and placement algorithms for different conditions. These placement patterns and algorithms are constructed due to the container handling machinery that was being used in the terminal that this study has been made for.
  • Conference Object
    Citation - WoS: 8
    Citation - Scopus: 15
    A Comparative Study on Neural Network Based Soccer Result Prediction
    (Institute of Electrical and Electronics Engineers Inc., 2007) Aslan, Burak Galip; İnceoğlu, Mustafa Murat
    This study mainly remarks the efficiency of black-box modeling capacity of neural networks in the case of forecasting soccer match results, and opens up several debates on the nature of prediction and selection of input parameters. The selection of input parameters is a serious problem in soccer match prediction systems based on neural networks or statistical methods. Several input vector suggestions are implemented in literature which is mostly based on direct data from weekly charts. Here in this paper, two different input vector parameters have been tested via learning vector quantization networks in order to emphasize the importance of input parameter selection. The input vector parameters introduced in this study are plain and also meaningful when compared to other studies. The results of different approaches presented in this study are compared to each other, and also compared with the results of other neural network approaches and statistical methods in order to give an idea about the successful prediction performance. The paper is concluded with discussions about the nature of soccer match forecasting concept that may draw the interests of researchers willing to work in this area.
  • Conference Object
    Computational Sciences Learning Project for Pre-University Students
    (Springer Verlag, 2007) İnceoğlu, Mustafa Murat; Aslan, Burak Galip
    It is quite useful for high school students to study on computational sciences, especially for those who are planning to have a higher education in engineering. This paper proposes a pilot study on 9th and 10 th grade students for teaching them the basic aspects of computer sciences. This study focuses on a schedule consisting two consecutive courses - first one theoric and the second one is applied - for student volunteers from science high schools.
  • Article
    Citation - WoS: 6
    Citation - Scopus: 1
    Effect of Bayesian Student Modeling on Academic Achievement in Foreign Language Teaching (university Level English Preparatory School Example)
    (Educational Consultancy and Research Center, 2014) Aslan, Burak Galip; Öztürk, Özlem; İnceoğlu, Mustafa Murat
    Considering the increasing importance of adaptive approaches in CALL systems, this study implemented a machine learning based student modeling middleware with Bayesian networks. The profiling approach of the student modeling system is based on Felder and Silverman's Learning Styles Model and Felder and Soloman's Index of Learning Styles Questionnaire. The questionnaire was adapted to Turkish for this experimental study conducted with respect to the visual/verbal and active/reflective dimensions of the model. A topic in EFL was chosen for the learning content design, which was also carried into the digital domain and remastered as separate learning scenes for different learning styles. Computer software was also implemented to carry out the experimental learning processes. A quasi-experimental pre-test, post-test design was conducted with 46 volunteers, with 23 students assigned each to a control and an experimental group to compare academic achievement between student-based learning and conventional computer-based learning. No significant difference was found in academic achievement between the control and experimental groups after the experimental treatment. The diagnostic performance of the proposed student modeling system was also compared with performances from similar studies. This student modeling system had a successful prediction rate of 41% on the visual/verbal dimension and 54% on the active/reflective dimension, respectively.