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Mar 28, 2024
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MAT 150 - Discrete Math Course Department: Mathematics Last Date of Approval: Fall 2022
3 Credits Total Lecture Hours: 45 Total Lab Hours: 0 Total Clinical Hours: 0 Total Work-Based Experience Hours: 0
Course Description: Introduction to mathematical methods used in the study of computer science. Topics include logic, methods of proof, set theory, functions and relations, recursion, discrete probability, recurrence relations, analysis of algorithms, counting techniques, permutations and combinations, graphs and trees.
Prerequisites: MAT 127 - College Algebra and Trigonometry or equivalent with a “C” grade or better or the necessary score on the mandatory assessment and placement chart found in the course catalog. Mode(s) of Instruction: Traditional/Face-to-Face, Virtual
Credit for Prior Learning: There are no Credit for Prior Learning opportunities for this course.
Course Fees: None
Common Course Assessment(s): None
Student Learning Outcomes and Objectives:
- Construct mathematical logic statements.
- Mathematically prove statements using induction and other methods.
- Perform set operations and calculate discrete probabilities.
- Define and analyze sequences and functions.
- Define and compute with graphs and trees.
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