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67190050 Data Analysis and Algorithm Design

Editor: Date:2019-03-13 Hits:5

This course first introduces the representation method of data and the general process and basic methods of analyzing and processing data, including various basic classification and sorting methods of data.On this basis, the basic concepts of the algorithm and the corresponding algorithm design methods are introduced, including brute force method, divide and conquer method, change rule method, greedy algorithm, dynamic programming, recursion and backtracking, etc., introduce the optimal algorithm and approximation algorithm.The basic theory, and finally a brief introduction to algorithm complexity analysis and NP-Complete theory.


Prerequisite requirements:Discrete Mathematics, C Program Design Fundamentals and Experiments, Probability Theory and Mathematical Statistics

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