Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network

Volume: 3 Number: 2 August 1, 2007
Electronic Letters on Science and Engineering Cover
Electronic Letters on Science and Engineering
PDF Download
TR EN

Sakarya Üniversitesi Bagil Degerlendirme Sisteminde Yapay Sinir Aglari Kullanilarak Bagil Aritmetik Ortalama ve Üst Deger Tespiti

Abstract

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.

Keywords

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Halil Arslan This is me

Publication Date

August 1, 2007

Submission Date

August 1, 2007

Acceptance Date

-

Published in Issue

Year 2007 Volume: 3 Number: 2

IZ

https://izlik.org/JA45MZ76JB

Cite

RIS / Bibtex
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. https://izlik.org/JA45MZ76JB
AMA
1.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. https://izlik.org/JA45MZ76JB
Chicago
Arslan, Halil, and Özkan Canay. 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. https://izlik.org/JA45MZ76JB.
EndNote
Arslan H, Canay Ö (August 1, 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.
IEEE
[1]H. Arslan and Ö. Canay, “Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network”, Electronic Letters on Science and Engineering, vol. 3, no. 2, pp. 18–26, Aug. 2007, [Online]. Available: https://izlik.org/JA45MZ76JB
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 1, 2007): 18-26. https://izlik.org/JA45MZ76JB.
JAMA
1.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;3:18–26.
MLA
Arslan, Halil, and Özkan Canay. “Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network”. Electronic Letters on Science and Engineering, vol. 3, no. 2, Aug. 2007, pp. 18-26, https://izlik.org/JA45MZ76JB.
Vancouver
1.Halil Arslan, Özkan Canay. Determining Relative Arithmetic Mean and Upper Bound in Sakarya University Relative Grading System Using Artificial Neural Network. Electronic Letters on Science and Engineering [Internet]. 2007 Aug. 1;3(2):18-26. Available from: https://izlik.org/JA45MZ76JB