CMSC 37000 - Algorithms

Institution:
University of Chicago
Subject:
Description:
PQ: CMSC 27200 or consent of instructor. The focus of this course is the analysis and design of efficient algorithms, with emphasis on ideas rather than on implementation. Algorithmic questions include sorting and searching, discrete optimization, algorithmic graph theory, algorithmic number theory, and cryptography. Design techniques include "divide-and-conquer" methods, dynamic programming, greedy algorithms, and graph search, as well as the design of efficient data structures. Methods of algorithm analysis include asymptotic notation, evaluation of recurrent inequalities, the concepts of polynomial-time algorithms, and NP-completeness . L. Babai. Winter.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(773) 702-1234
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Quarter

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