MAT-160 Introduction to Discrete Mathematics

An introduction to many of the principal topics of discrete mathematics, including number systems, sets, logic, relations, combinatorial methods, graph theory, regular sets, vectors and matrices. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit.

Credits

4

Prerequisite

MAT-152

Department

  • Mathematics

Semesters Course Will Be Offered

  • Spring

Course Rotation Schedule

  • Spring: In Person
For more detailed course information view the Course Outline

MAT 160: Introduction to Discrete Mathematics

Department

Mathematics

Course Description

An introduction to many of the principal topics of discrete mathematics, including number systems, sets, logic, relations, combinatorial methods, graph theory, regular sets, vectors and matrices. This course carries SUNY General Education Mathematics (and Quantitative Reasoning) credit.

Credit Hours

4

Contact Hours

Lecture4
Lab0
Other0

Grading Scheme

Letter

Semester(s) Course Will Be Offered

Spring

Prerequisites

MAT-152

SUNY General Education Course

  • Mathematics and Quantitative Reasoning

Course Learning Outcomes

  1. Apply precise mathematical reasoning in the use and analysis of course content.
  2. Justify conclusions supported by appropriate evidence, presented with proper terminology and notation.
  3. Articulate clear solutions to problems by applying definitions, properties, techniques and logical structure included within course concepts.

Topic Outline

  1. 1. Number systems
  2.     a. Binary, octal, and hexadecimal systems
  3.     b. Properties of the integers
  4.     c. Modular arithmetic
  5. 2. Sets
  6.     a. Sets, subsets, and power sets
  7.     b. Set representations and Venn diagrams
  8.     c. Set operations: intersection, union, and complement
  9.     d. Cartesian product
  10. 3. Logic
  11.     a. Logical operators: conjunction, disjunction, negation, and implication
  12.     b. Tautologies and contradictions
  13.     c. Truth tables and logical equivalence
  14.     d. Valid and invalid arguments
  15.     e. Decision tables
  16.     f. Quantifiers: universal, existential, and uniqueness
  17. 4. Proof techniques
  18.     a. The rationale of mathematical proof
  19.     b. Understanding the reasoning behind and evaluating the validity of proposed direct proofs
  20.     c. Understanding the reasoning behind and evaluating the validity of proposed proofs by contradiction
  21.     d. Understanding the reasoning behind and producing basic proofs by mathematical induction
  22. 5. Functions
  23.     a. Relations as subsets of the Cartesian product
  24.     b. Partial orders and equivalence relations
  25.     c. Functions: one-to-one, onto, and inverses
  26.     d. Recursively defined functions
  27. 6. Combinatorics
  28.     a. Permutations and combinations
  29.     b. The binomial theorem
  30.     c. The pigeonhole principle
  31. 7. Graph theory
  32.     a. Types of graphs, including Kₙ, Cₙ, trees, digraphs, and weighted graphs