CSCI 101 - Algorithm Analysis and Computability

Institution:
Drew University
Subject:
Description:
Methods for the analysis of time and space efficiency, comparison of brute-force algorithms with divide-and-conquer algorithms, tree algorithms, graph algorithms, string algorithms, dynamic programming, and greedy methods. An introduction to NP-completeness and intractability. Turing machines, Church's thesis, determinism and non-determinism, unsolvability and reducibility. Search and constraint satisfaction. Meets: weekly for three 65-minute periods. Prerequisite: C- or better in CSCI 25 and C- or better in CSCI 23. Offered spring semester.
Credits:
4.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(973) 408-3000
Regional Accreditation:
Middle States Association of Colleges and Schools
Calendar System:
Semester

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