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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Vydané v:	Computer applications in engineering education Ročník 33; číslo 6
Hlavný autor:	Uddin, Mohammad Salah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hoboken Wiley Subscription Services, Inc 01.11.2025
Predmet:	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
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