The Discrete Math course covers the math that powers algorithms, data structures, logic, cryptography, and probability. It is designed for programmers who want a practical, calculus-free foundation.
What you will learn
The course is organized into six units, with a little over twenty short lessons:
- Logic & Proofs: propositions, truth tables, logical equivalences, predicate logic, and proof techniques.
- Sets & Relations: set operations, functions, equivalence relations, and partial orders.
- Combinatorics: counting principles, permutations, combinations, the pigeonhole principle, and inclusion-exclusion.
- Graph Theory: graph representations, traversals, trees, and spanning trees.
- Number Theory: divisibility, GCD, modular arithmetic, primes, and cryptography basics.
- Probability: sample spaces, expected value, conditional probability, and Bayes' theorem.
Who it is for
This course is for developers studying algorithms, preparing for technical interviews, working with data structures, or curious about the math behind cryptography and machine learning.
How it is structured
Each lesson explains a concept with examples and then asks you to answer a few questions. Lessons are quick, usually between 8 and 15 minutes. Quizzes use multiple-choice, true/false, and numeric questions.
Access
Discrete Math is bundled with NextMath and is included with the Pro and Teams plans.