Nov 24, 2024  
2022-2023 Undergraduate and Graduate Catalog 
    
2022-2023 Undergraduate and Graduate Catalog [ARCHIVED CATALOG]

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CMPS 406 - Fundamentals of Computing Theory

Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
Review of mathematical background. Algorithmic problems and their solutions. Methodology for algorithmic problem solving, abstraction and design; case study. Basics of program correctness and complexity analysis. A matriculation course for graduate students in computer science and engineering lacking computer science background. No credit toward any computer science or computer engineering degree.

Prerequisite(s): CMPS 150  and CMPS 341 
Corequisite(s): CMPS 405 



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