May 10, 2024  
2022-2023 Catalog 
    
2022-2023 Catalog [ARCHIVED CATALOG]

MATH 235 - Discrete Mathematics


PREREQUISITES: MATH 135 - Finite Math  
CREDIT HOURS MIN: 4
LECTURE HOURS MIN: 4
DATE OF LAST REVISION: Fall, 2020

Introduction to the suite of mathematical and logical tools used in information sciences including automata and computability theory, elementary probability and statistics, and basics of classical information theory.

MAJOR COURSE LEARNING OBJECTIVES: Upon successful completion of this course the student will be expected to:

  1. Discuss fundamental mathematical structures including functions (surjections, injections, inverses, composition), relations (reflexivity, symmetry, transitivity, equivalence), and sets (complements, Cartesian products, power sets).
  2. Apply the basics of counting including counting arguments, the pigeonhole principle, cardinality, countability, permutations and combinations, and recurrence relations.
  3. Demonstrate knowledge of basic logic including propositional and predicate logic.
  4. Demonstrate the use of logical connectives, truth tables, and normal forms (conjunctive and disjunctive).
  5. Apply logical concepts such as validity, universal and existential quantification, modus ponens, and modus tollens.
  6. Analyze problems using digital logic including logic gates, flip-flops, counters, and circuit minimization.
  7. Demonstrate formal proofs including use of implication (converse, inverse, contrapositive, negation, and contradiction), the structure of formal proofs (direct, counterexample, contrapositive, and contradiction), mathematical and strong induction, recursive mathematical definitions, and well orderings.
  8. Solve problems involving random events in finite probability spaces.
  9. Demonstrate Bayes’ rule for conditional probabilities.
  10. Illustrate the idea of mathematical expectation.


COURSE CONTENT: Topical areas of study include -  

  • Functions
  • Elementary combinatorics
  • Sets
  • Propositional logic
  • Predicate logic
  • Proof techniques
  • Relations
  • Discrete probability

 
GRADING POLICY

A 90-100
B 80-89
C 70-79
D 60-69
F 0-59

 
Course Addendum - Syllabus (Click to expand)