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Nov 24, 2024
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Catalog 2023-2024 [ARCHIVED CATALOG]
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MATH 147 Digital Mathematics5 credits Digital Mathematics covers the finite mathematical knowledge, skills and techniques necessary for success in computer-based technologies. Content includes counting, number systems, logic, relations, recursion, graphs and trees, algorithms, data structures, digital circuits, software languages, and programming.
This course meets the Quantitative Reasoning general education distribution requirement for AAS degrees and certificates only.
Prerequisites: MATH 98 (recommended) or MATH 99 (or placement into MATH 147)
Course Outcomes Upon successful completion of this course students will be able to:
- Apply counting techniques to solve simple problems in probability
- Explain the integer system expressed in various bases
- Identify logical elements in artificial languages
- Determine tautological, contradictory, and contingent logical forms
- Differentiate between functions and relations
- Appreciate the inductive structure of mathematics
- Solve simple problems using recursion
- Explain the fundamental rules of graph and tree data structures
- Construct simple algorithms for computation
- Express problems using a variety of different data structures
- Write simple computer programs in very high-level software languages
- Describe the use of logic and recursion in semiconductor circuitry
- Apply the mathematical skills of computational problem solving, pattern recognition, substitution, following structural rules, discrete modeling, and formal logic to solve problems requiring reasoning, critical thinking, and computation
General Education Distribution Area Outcomes Students who successfully complete courses in the Quantitative Reasoning distribution area will be able to:
- Gather, organize, and interpret data using multiple approaches
- Develop and use mathematical models to describe and evaluate physical situations
- Communicate problem-solving strategies and mathematically justify solutions
- Select and utilize appropriate technology to analyze mathematical problems
Total Hours: 50 Theory (Lecture) Hours: 50
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