Executive Development Programme in Algorithmic Problem-solving Approaches
-- ViewingNowThe Executive Development Programme in Algorithmic Problem-solving Approaches is a certificate course designed to empower professionals with essential algorithmic skills for career advancement. This programme is critical in today's data-driven world, where problem-solving using algorithms has become a core competency in various industries.
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โข Algorithmic Thinking & Problem Solving: This unit will cover the basics of algorithmic thinking and problem-solving strategies, teaching participants how to break down complex problems into smaller, manageable parts.
โข Data Structures: This unit will delve into various data structures, such as arrays, linked lists, stacks, queues, trees, and graphs, and their implementation in solving algorithmic problems.
โข Sorting & Searching Algorithms: Participants will learn about various sorting and searching algorithms, including bubble sort, insertion sort, selection sort, merge sort, quick sort, binary search, and hash tables.
โข Dynamic Programming: This unit will cover dynamic programming techniques, including bottom-up and top-down approaches, memoization, and tabulation, and their applications in solving optimization problems.
โข Graph Algorithms: Participants will learn about graph algorithms, such as depth-first search, breadth-first search, Dijkstra's algorithm, Bellman-Ford algorithm, and Floyd-Warshall algorithm, and their applications in solving network flow and shortest path problems.
โข Greedy Algorithms: This unit will cover greedy algorithms and their applications in solving optimization problems, such as activity selection, Huffman coding, and fractional knapsack.
โข Backtracking Algorithms: Participants will learn about backtracking algorithms and their applications in solving combinatorial problems, such as the N-Queens problem, graph coloring, and Hamiltonian path.
โข Advanced Algorithmic Techniques: This unit will cover advanced algorithmic techniques, such as randomized algorithms, amortized analysis, and geometric algorithms, and their applications in solving real-world problems.
โข Algorithmic Complexity & Big O Notation: This unit will cover algorithmic complexity and Big O notation, teaching participants how to analyze the time and space complexity of algorithms and choose the most efficient algorithm for a given problem.
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