Apr 19, 2024  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

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 not have an established scheduling pattern.

Prerequisites:
Prerequisites: C or higher in CS 302 and Math 330.

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:
4/19/2019

Anticipated Course Offering Terms and Locations:



Add to Portfolio (opens a new window)