Course Catalog
CSCI4230 - Algorithms Design and Analysis
Spring 2024
The CSCI 4230 Algorithm Design and Analysis course teaches students the principles and
techniques for designing, analyzing, and implementing efficient algorithms. It covers topics such as algorithms for
advanced data structures, search algorithms, graph algorithms, NP-completeness and approximation algorithms.
Students learn to think algorithmically, develop problem-solving skills, and study algorithm design and analysis
techniques such as divide and conquer, dynamic programming, greedy algorithms, backtracking, heuristic approach,
amortized analysis, and randomized algorithms. The course may also cover additional practical issues related to
algorithm implementation and optimization, including caching, memoization, and parallelization.
Prerequisites CSCI3210 or ENGR3440
3 Credits
Prerequisites CSCI3210 or ENGR3440
3 Credits
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