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Institution:
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Rocky Mountain College
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Subject:
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Description:
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Annually. 3 semester hours. Most programming problems encountered by undergraduate computer science students are solvable using straightforward approaches. There are a number of important and challenging problems whose efficient solutions demand more sophisticated techniques. This course presents an organized study of major algorithmic strategies (Divide and Conquer, Dynamic Programming, Backtracking, Greedy, Branch and Bound) and introduces students to advanced topics including computability, fixed-point algorithms, and NP-complete problems. Algorithms for parallel processing are explored through the use of a Beowulf processor cluster as a target platform for programming exercises. Prerequisites: CSC251, CSC354, and senior standing.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(406) 657-1000
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Regional Accreditation:
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Northwest Commission on Colleges and Universities
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Calendar System:
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Semester
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