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Summer and Fall 2025 Registration window now open. | Undergraduate Priority Deadline is June 1 for fall term

MATH 215 Discrete Mathematics

This course covers a variety of important topics in math and computer science. Topics include: logic and proof, sets and functions, induction and recursion, elementary number theory, counting and probability, and basic theory of directed graphs.

Prerequisites

Special information

Note: Students whose prerequisites are not identified by the system should contact the Math and Statistics department for an override at MATH@metrostate.edu.
4 Undergraduate credits

Effective August 1, 1998 to present

Meets graduation requirements for

Learning outcomes

General

  • Understand fundamental combinatorics principles including permutations and combinations and apply them to discrete probability problems.
  • Understand recursive algorithms and their applications.
  • Understand symbolic logic and predicate calculus. Master methods of proof including direct proof, proof by contradiction and mathematical induction.
  • Understand the fundamentals of elementary number theory including the Euclidean algorithm and number systems. Understand the notion of an algorithm.
  • Understand functions, relations and directed graphs.

Spring 2025

Section Title Instructor books eservices
01 Discrete Mathematics Naughton, Gerry
02 Discrete Mathematics Calcaterra, Craig
03 Discrete Mathematics Calcaterra, Craig
04 Discrete Mathematics Horan, Sean T
50 Discrete Mathematics Moniri, Mojtaba
51 Discrete Mathematics Naughton, Gerry

Summer 2025

Section Title Instructor books eservices
01 Discrete Mathematics Samuel, Delia D
02 Discrete Mathematics Roddin, Daniel William
50 Discrete Mathematics Naughton, Gerry

Fall 2025

Section Title Instructor books eservices
01 Discrete Mathematics Staff, Staff
02 Discrete Mathematics Staff, Staff
03 Discrete Mathematics Staff, Staff
04 Discrete Mathematics Staff, Staff
50 Discrete Mathematics Staff, Staff
51 Discrete Mathematics Staff, Staff