Apr 20, 2024  
2018-2019 Undergraduate Catalog 
    
2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

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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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