Enhancing Computational Reasoning Through a Structured Discrete Mathematics Teaching Module in Undergraduate Information Systems Education

This paper presents the development and implementation of a structured 16-session

Discrete Mathematics teaching module designed for undergraduate students in

Information Systems. The module emphasizes logical reasoning, set theory,

functions, relations, number theory, combinatorics, and graph theory, all aligned

with computational problem-solving. Through a systematic approach that

integrates theory, guided practice, and applied tasks, the module aims to strengthen

students’ conceptual understanding and analytical skills essential for computer

science. Observations and evaluation indicate significant improvement in students’

ability to construct formal proofs, analyze complex problems, and apply

mathematical structures to algorithm development.