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所在平台: Udemy |
课程主页: https://www.udemy.com/course/design-and-analysis-of-algorithm-/
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Coursera 上的《算法设计与分析大师班》课程是一项全面的学习计划，旨在帮助学习者掌握算法的基础知识和实际应用。这门课程不仅适合计算机科学专业的学生和软件工程师，也对任何希望提升解决问题能力的人都有益处。 **核心内容与目标：** * **算法的普遍性与重要性：** 课程强调算法在日常生活中的广泛应用，例如骑自行车、出行甚至园艺，并指出算法知识是区分普通软件工程师和优秀软件工程师的关键。 * **提升逻辑思维与问题解决能力：** 学习算法能够教会你如何系统地思考和解决问题，从而在开发过程中设计出更快速、更优越、更高效的系统。 * **弥补知识鸿沟：** 课程专门针对许多初级开发者和毕业生在算法基础知识方面的普遍不足而设计。 **将学到什么：** 该课程涵盖了算法设计与分析的众多核心概念和经典算法，包括但不限于： * **基础概念：** 渐进记号（大O、大Omega、大Theta）、递归、分治法、动态规划。 * **图算法：** Dijkstra 算法、Bellman-Ford 算法、Floyd Warshall 算法、Kruskal 算法、Prim 算法。 * **经典问题与算法：** Knapsack 问题（0/1 Knapsack）、TSP（旅行商问题 — 虽然未明确提及，但与优化问题相关）、String Matching（字符串匹配）、Heap Sort（堆排序）、Huffman Codes（哈夫曼编码）、n-Queens Problem（N皇后问题）、Rat in Maze（老鼠走迷宫）、15 Puzzle Problem（15方块问题）。 * **高级主题：** NP-Completeness（NP-完备性）与 Approximation Algorithms（近似算法）。 * **具体技术：** 学习如何进行模式预处理，以及 Knuth-Morris-Pratt (KMP) 算法。 * **实践应用：** 了解各种算法在现实世界中的具体用途，并深入理解其背后的“为什么”。 **课程特色：** * **高质量内容：** 提供12小时的高清视频内容，内容已于2022年12月更新。 * **实践性学习：** 包含更新的作业和学习笔记，强化学习效果。 * **学习支持：** 承诺每日关注并解决学习者的疑问。 * **认证：** 完成课程后可获得证书。 总而言之，《算法设计与分析大师班》是一门非常扎实的课程，旨在为学习者打下坚实的算法基础，并建立一种高效的解决问题的思维框架。
The algorithm is used everywhere. People Don't know how Complex algorithms they are executing when doing there day to day tasks like Riding a Bi-Cycle, Travelling from one place to another even Watering Gardens. If you are Coder then the Knowledge of algorithms is Very much important for you. The knowledge of Algorithm teach you How to Think to solve a Problem?The algorithm is the concept that differentiates one average software engineer and one better software engineer. In our daily life in the industry, we used different kinds of algorithms to make the system faster, better, and more efficient.But the problem is 90% of the freshers and graduates don't have the basic knowledge of algorithms. That is the reason we make this Design and Analysis of algorithm Masterclass.What you are Going to Learn?Asymptotic Notations, Recursion, Divide and Conquer, Dynamic Programming, Dijkstra's, Bellman-Ford, Floyd Warshall Algorithm, Kruskal's Algorithm, Knapsack Problem, String Matching with Finite Automaton, Heap sort, Huffman Codes, n-Queens Algorithm, Rat in Maze, 0/1 Knapsack Problem, 15 Puzzle Problem, NP-Completeness, Approximation Algorithms12 hours of HD content [Updated on 2022 December]Assignment [Updated]Study Note [Updated]Certificate Every Single Day we will check your questions and solve your queries.Topics covered:Enhance Your Logical Thinking AbilitiesLearn various Popular Data Structures and their Algorithms.Knowing Algorithm Well helps you to Solve the Problem in a Better Way.Learn Big O, Big Omega Big Theta NotationLinear Search, Recurrence RelationsFactorial, Tail RecursionTowers of HanoiMerge Sort, Quick Sort, Heap SortKnapsack Problem, Minimum Spanning Tree: Kruskal's Algorithm, Minimum Spanning Tree: Prim's AlgorithmHuffman's Codes - Building Huffman Tree, Dijkstra's Algorithm, Bellman-Ford Algorithm, Floyd Warshall AlgorithmBrute Force MatcherPattern Pre-ProcessingThe Knuth Morris Pratt Algorithmn-Queens AlgorithmGraph Coloring, Hamiltonian Cycles0/1 Knapsack Problem15 Puzzle ProblemNP-Completeness and Approximation AlgorithmsWill get to know Real-time uses of all AlgorithmGet the answer of your "WHY" part behind the use of every Algorithm
