Discrete Mathematics By Olympia — Nicodemi [patched]

The textbook provides comprehensive coverage of the core pillars of discrete mathematics. 1. Logic and Set Theory

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If you need heavy practice with combinatorics formulas, recurrence solving, or algorithm analysis (big-O, recursion trees), this book is too light. It prioritizes proof over computation, so computer science students seeking coding-adjacent math may find it insufficient. Discrete Mathematics by Olympia Nicodemi

The first thing a student notices is the lack of hand-holding. In an era of math textbooks bloated with sidebars, glossy photos of engineers, and QR codes linking to video tutorials, Nicodemi’s Discrete Mathematics is almost austere. The prose is precise, lean, and mercilessly clear.

Where other books might present the Pigeonhole Principle as a simple formula followed by ten computational exercises, Nicodemi pauses. She asks: Why does this work? Can you construct a counterexample? The book is notoriously light on "plug-and-chug" exercises and heavy on proofs, generalizations, and open-ended problems. The textbook provides comprehensive coverage of the core

This illustrates her approachable, metaphor-rich style.

Because the book is currently out of print, it is no longer available new from major retailers. However, its lasting value has made it a collector's item for students and educators. It can still be found through several channels: This link or copies made by others cannot be deleted

Discrete Mathematics Preparation - Computer Science - Williams College

Among the various textbooks dedicated to this field, stands out as a highly structured, accessible, and mathematically rigorous introduction to the subject. This article provides an in-depth analysis of Nicodemi’s approach, its core curriculum, and its lasting value for students and educators. About the Author and Pedagogical Philosophy

Unlike Rosen’s Discrete Mathematics and Its Applications or Epp’s text, Nicodemi’s book has minimal connections to cryptography, networks, or software design. The applications are mostly internal to math (e.g., number theory proofs, graph theory properties).