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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1136

Title: Computationally Efficient Algorithm for Computing Cumulative Grade Point Average of a Large Number of Students
Authors: Akinola, R.O.
Keywords: computation
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Issue Date: Jun-2014
Publisher: Afrrican Journal of Computing & ICT
Series/Report no.: Vol. 7;No.2; Pp 27-32
Abstract: One major problem faced by Level Coordinators at the University of Jos is the computation of their students' Cumulative Grade Point Average (CGPA) in senate format at the end of each session. To many a lecturer, it is laborious, time wasting and a frustrating exercise. This paper proposes a python based algorithm for computing each students CGPA for an entire level in a fast and less tasking manner. It surpasses an earlier algorithm proposed by the same author which uses octave and has the capability to compute the TCE, TGP, TGR, GPA, their cumulatives as well as state which courses are to be repeated or if a student passed (i.e., no carry over) by default. The algorithm can also state each student’s class of degree which makes it more powerful.
URI: http://hdl.handle.net/123456789/1136
ISSN: 2006-1781
Appears in Collections:Mathematics

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