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Dec 21, 2024
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MTH 231 Discrete Mathematics 1 Lecture Hours: 4 Credits: 4
Introduces logic, sets, functions, algorithms, matrices, graph theory, and trees, with applications. Offers the first course for computer science and mathematics majors.
Prerequisite: Placement into WR 115 (or higher), or completion of WR 090 (or higher); and placement into MTH 112Z or higher; or completion of MTH 111Z , or equivalent course as determined by instructor; or consent of instructor. (All prerequisite courses must be completed with a grade of C or better.) Student Learning Outcomes:
- Apply basic set operations
- Apply concepts of propositional logic to analyze and interpret compound and quantified statements, as well as to negate and form contrapositives of such statements.
- Construct direct proofs by applying mathematical definitions.
- Apply principles of combinatorics to solve counting problems.
- Construct indirect proofs, including those by contraposition, contradiction.
- Apply the principle of mathematical induction.
- Construct, and apply recursive definitions, and solve first order recurrence relations.
- Represent finite graphs as matrices.
- Find minimal spanning trees in finite connected graphs
Statewide General Education Outcomes:
- Use appropriate mathematics to solve problems.
- Recognize which mathematical concepts are applicable to a scenario, apply appropriate mathematics and technology in its analysis, and then accurately interpret, validate, and communicate the results.
Content Outline
- Basic Logic
- Definitions
- Propositional logic
- Mathematical Statements
- Proofs and counterexamples
- Mathematical induction
- Basic Set Theory
- Definitions and notation
- Set operations
- Combinatorics
- Addition and multiplication rules
- Permutations
- Combinations (binomial coefficients)
- Recurrence relations
- Relations
- Digraphs
- Partitions
- Equivalence relations
- Functions
- Spanning Trees and Graphs
- Definitions
- Matrix representations of graphs
- Algorithms to find spanning trees
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