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CSCI-B 503 Algorithms Design And Analysis

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The CSCI-B 503 Algorithms Design and Analysis course introduces students about the methodologies for designing algorithms and for examining the time and space efficiency of the algorithms. The algorithm design techniques comprise divide-and-conquer, dynamic programming, greedy algorithms, randomized algorithms and parallel algorithms. The algorithm analysis comprises computational models, best/average/worst case analysis, and computational complexity (comprising lower bounds and NP-completeness).

Course objectives:

The CSCI-B 503 Algorithms Design and Analysis course offer the theoretical backbone of computer science and are a must in the everyday work of the successful programmer. The main objective of this course is to offer a solid background in the design and analysis of the main classes of algorithms. At the end of the course, students will be capable to build up their own versions for a specified computational task and to evaluate their performance.

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