Analyzing and Predicting Student Performance in Discrete Mathematics Using Supervised Learning Algorithms

Discrete Mathematics is an important and challenging course for computer science and engineering students. It includes topics, such as logic, sets, proofs, number theory, graphs, trees, computation, relations, functions, and basic algorithmic concepts. These topics require strong analytical reasonin...

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Bibliographic Details

Published in:	Computer applications in engineering education Vol. 33; no. 6
Main Author:	Uddin, Mohammad Salah
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 01.11.2025
Subjects:	Accuracy Artificial intelligence Clustering Colleges & universities Combinatorics Datasets Decision trees Learning Machine learning Mathematics Number theory Students Supervised learning Support vector machines Teachers
ISSN:	1061-3773, 1099-0542
Online Access:	Get full text
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