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Apr 20, 2024
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CS 427 - Algorithm Analysis Description: Topics will include basic algorithmic analysis, algorithmic strategies, fundamental computing algorithms, basic computability, the complexity classes P and NP, and advanced algorithmic analysis. Course will be offered every year. Course will not have an established scheduling pattern.
Prerequisites: Prerequisites: CS 302 and a grade of C or higher in MATH 330, and admission to computer science major.
Credits: (4)
Learner Outcomes: Upon successful completion of this course, the student will be able to:
- Define basic categories of algorithmic analysis and algorithmic strategies
- Formulate and apply fundamental computing algorithms to solve specific tasks
- Formulate Mathematical analysis of recursive algorithms, heterogeneous recurrences and the Master Theorem
- Formulate and apply Brute-force, Exhaustive search, Depth-First and Breadth-First Search and Decrease-and-conquer algorithms
- Formulate and apply the complexity classes P and NP to specific tasks
- Formulate and apply advanced algorithmic analysis.
Learner Outcomes Approval Date: 4/5/18
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