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CSC 510 Analysis of Algorithms

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Short introduction of the course:

The main objective of the CSC 510 Analysis of Algorithms course is to teach students the techniques for effective problem resolving in computing. The use of various paradigms of problem solving will be employed to exemplify quick and efficient ways to resolve a given problem. In each case, focus will be placed on thoroughly proving correctness of the algorithm. Moreover, the analysis of the algorithm will be employed to explain the efficiency of the algorithm over the naive methods.

Course learning objectives:

1. Comprehending a variety of methods for designing algorithms.

2. Build up skills to reason about and prove properties of algorithms such as their exactness and running time.

3. Design experiments to assess and compare diverse algorithm methods on real-world problems.

4. Make use of approximation and linear programming to find out near-optimal solutions for confronting problems.

5. Make use of the concept of randomization to find out proficient algorithms for difficult problems.

6. Make use of the theory of NP-completeness to argue for the intricacy of some problems.

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