Year 2007, Volume 3, Issue 2, Pages 18 - 26 2007-08-01

Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network
Sakarya Üniversitesi Bagil Degerlendirme Sisteminde Yapay Sinir Aglari Kullanilarak Bagil Aritmetik Ortalama ve Üst Deger Tespiti

Halil Arslan [1] , Özkan Canay [2]

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Evaluation process is done after measuring results are gathered in relative evaluation system and a criteria is determined. Grades taken from exam, homework, lab, application and such like by students are transmitted preoperation in order to derive success grade. This grade is called unconditional grade. When this point is acquired, firstly every activity grades (quiz, final, homework etc.) is multiply independently percentage value (%90, %20) and these is accumulated. After raw success grade is calculated, these are exchanged to relative points [1]. At this phase, a specific distribution related with trainer is performed to determine an appropriate relative grade distribution. At this paper, in order to define suitable distribution, grade data belonging to previous semester and year is trained by neural network and relative arithmetic mean and it is studied such that upper value determine.
Bagil degerlendirme sisteminde ölçme sonuçlari toplandiktan ve degerlendirmede kullanilacak bir ölçüt belirlendikten sonra, degerlendirme islemi yapilir. Ögrencilerin sinav, ödev, laboratuar, uygulama, seminer veya proje gibi çesitli etkinliklerde aldiklari notlar, ham basari notunun elde edilmesi için bir ön islemden geçirilir. Bu nota mutlak not adi verilir. Bu elde edilirken, ilk önce her etkinlik puani ayri ayri yüzde degerler ile çarpilir ve sonra bunlar toplanir. Ham basari notlari hesaplandiktan sonra, bu notlar bagil nota çevrilir [1]. Bu asamada uygun bir bagil not dagilimi yapmak için ögretim elemaninin inisiyatifi dogrultusunda belirli bir dagilim yapilmasi söz konusudur. Bu makalede uygun bir bagil dagilim belirlemek için daha önceki yil ve dönemlere ait not verileri yapay sinir aglarinda egitilmis ve bagil aritmetik ortalama ile üst degerin belirlenmesine çalisilmistir.
Other ID JA54NE27AU
Journal Section Articles
Authors

Author: Halil Arslan

Author: Özkan Canay

Dates

Publication Date: August 1, 2007

Bibtex @ { else313768, journal = {Electronic Letters on Science and Engineering}, issn = {1305-8614}, address = {Bozok University}, year = {2007}, volume = {3}, pages = {18 - 26}, doi = {}, title = {Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network}, key = {cite}, author = {Arslan, Halil and Canay, Özkan} }
APA Arslan, H , Canay, Ö . (2007). Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network. Electronic Letters on Science and Engineering, 3 (2), 18-26. Retrieved from http://dergipark.org.tr/else/issue/29322/313768
MLA Arslan, H , Canay, Ö . "Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network". Electronic Letters on Science and Engineering 3 (2007): 18-26 <http://dergipark.org.tr/else/issue/29322/313768>
Chicago Arslan, H , Canay, Ö . "Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network". Electronic Letters on Science and Engineering 3 (2007): 18-26
RIS TY - JOUR T1 - Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network AU - Halil Arslan , Özkan Canay Y1 - 2007 PY - 2007 N1 - DO - T2 - Electronic Letters on Science and Engineering JF - Journal JO - JOR SP - 18 EP - 26 VL - 3 IS - 2 SN - 1305-8614- M3 - UR - Y2 - 2019 ER -
EndNote %0 Electronic Letters on Science and Engineering Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network %A Halil Arslan , Özkan Canay %T Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network %D 2007 %J Electronic Letters on Science and Engineering %P 1305-8614- %V 3 %N 2 %R %U
ISNAD Arslan, Halil , Canay, Özkan . "Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network". Electronic Letters on Science and Engineering 3 / 2 (August 2007): 18-26.
AMA Arslan H , Canay Ö . Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network. Electronic Letters on Science and Engineering. 2007; 3(2): 18-26.
Vancouver Arslan H , Canay Ö . Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network. Electronic Letters on Science and Engineering. 2007; 3(2): 26-18.