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Learn fundamental algorithmic concepts and problem-solving techniques through this comprehensive 12-week course covering essential data structures, algorithm design paradigms, complexity analysis, and computational problem-solving methods. Master sorting and searching algorithms, graph algorithms, dynamic programming, greedy algorithms, and divide-and-conquer strategies while developing skills to analyze algorithm efficiency using Big O notation. Explore advanced topics including tree traversals, shortest path algorithms, minimum spanning trees, and optimization techniques through theoretical foundations and practical implementations. Gain proficiency in algorithm design principles, recursive problem solving, and the mathematical analysis of computational complexity to build a strong foundation for computer science and software development careers.
