Browsing by Author "Gursakal, Necmi"

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Citation Count: 0
How Should Data Science Education Be?
(Igi Global, 2020) Gursakal, Necmi; Ozkan, Ecem; Yilmaz, Firat Melih; Oktay, Deniz
The interest in data science is increasing in recent years. Data science, including mathematics, statistics, big data, machine learning, and deep learning, can be considered as the intersection of statistics, mathematics and computer science. Although the debate continues about the core area of data science, the subject is a huge hit. Universities have a high demand for data science. They are trying to live up to this demand by opening postgraduate and doctoral programs. Since the subject is a new field, there are significant differences between the programs given by universities in data science. Besides, since the subject is close to statistics, most of the time, data science programs are opened in the statistics departments, and this also causes differences between the programs. In this article, we will summarize the data science education developments in the world and in Turkey specifically and how data science education should be at the graduate level.
Citation Count: 1
Organizational Change and Applicability of Six Sigma Management Model in the Turkish National Soccer Team
(Gdansk Univ Physical Education & Sport, 2018) Terekli, Mustafa Serdar; Terekli, Mustafa Serdar; Gursakal, Necmi; Sever, Necip Serdar; Beden Eğitimi ve Spor Bölümü
Background: In recent years, the Six Sigma Methodology has been primarily applied to the enhancement of performance. The purpose of this study was to implement Six Sigma Management Models in the Turkish National Soccer Team. Material and methods: 24 matches of the Turkish National Soccer Team constituted the sample of research. The DMAIC method was used in this study. For statistical analysis of research data, IBM SPSS 18.0 for Windows and Minitab 17 statistical software program were used. As statistical techniques, brainstorm, fishbone, chi-square correlation analysis, Spearman correlation test, process capability analysis and control charts were used, which were the six sigma tools. The numerical values obtained were tested at P < 0.01 and P < 0.05 significance levels. Result: As a result of the research, a statistically significant correlation was found among the match outcomes of the Turkish National Soccer Team and the game formation (P = 0.04), the positive shoot rate (P = 0.03), the positive defence rate on the first zone (P = 0.00) and the positive defence rate on the second zone (P = 0.00). As a result of the improvement, the z bench value for the positive defence rate on the first zone was increased from 0.47 to 0.59. Conclusion: It can be said that the Six Sigma Management Model is applicable for coaching or training in soccer.