Udemy

The Design and Analysis of Algorithm Masterclass

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  • 4,901 名學生
  • 更新於 6/2023
4.3
(651 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
12 小時 33 分鐘
教學語言
英語
授課導師
Up Degree
評分
4.3
(651 個評分)
9次瀏覽

課程簡介

The Design and Analysis of Algorithm Masterclass

Algorithm & Data Structures will help you to Crack Coding Interviews (C/C++Java/Python) Learn Algorithm Data Structures

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 Algorithms


  • 12 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 Abilities

  • Learn 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 Notation

  • Linear Search, Recurrence Relations

  • Factorial, Tail Recursion

  • Towers of Hanoi

  • Merge Sort, Quick Sort, Heap Sort

  • Knapsack Problem, Minimum Spanning Tree: Kruskal's Algorithm, Minimum Spanning Tree: Prim's Algorithm

  • Huffman's Codes - Building Huffman Tree, Dijkstra's Algorithm, Bellman-Ford Algorithm, Floyd Warshall Algorithm

  • Brute Force Matcher

  • Pattern Pre-Processing

  • The Knuth Morris Pratt Algorithm

  • n-Queens Algorithm

  • Graph Coloring, Hamiltonian Cycles

  • 0/1 Knapsack Problem

  • 15 Puzzle Problem

  • NP-Completeness and Approximation Algorithms

  • Will get to know Real-time uses of all Algorithm

  • Get the answer of your "WHY" part behind the use of every Algorithm

課程章節

  • 10 個章節
  • 62 堂課
  • 第 1 章 Introduction & Overview
  • 第 2 章 Introduction to Algorithms
  • 第 3 章 Asymptotic Notations
  • 第 4 章 Recursion
  • 第 5 章 Divide and Conquer
  • 第 6 章 Dynamic Programming
  • 第 7 章 Greedy Algorithms
  • 第 8 章 Shortest Path Algorithms
  • 第 9 章 The Problem of String Matching
  • 第 10 章 Backtracking

課程內容

  • Enhance Your Logical Thinking Abilities
  • Learn 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 Notation
  • Linear Search, Recurrence Relations
  • Factorial, Tail Recursion
  • Towers of Hanoi
  • Merge Sort, Quick Sort, Heap Sort
  • Knapsack Problem, Minimum Spanning Tree: Kruskal's Algorithm, Minimum Spanning Tree: Prim's Algorithm
  • Huffman's Codes - Building Huffman Tree, Dijkstra's Algorithm,Bellman Ford Algorithm, Floyd Warshall Algorithm
  • Brute Force Matcher
  • Pattern Pre-Processing
  • The Knuth Morris Pratt Algorithm
  • n-Queens Algorithm
  • Graph Coloring, Hamiltonian Cycles
  • 0/1 Knapsack Problem
  • 15 Puzzle Problem
  • NP Completeness and Approximation Algorithms
  • Will get to know Real time uses of all Algorithm
  • Get the answer of your "WHY" part behind use of every Algorithm


評價

  • S
    Sami Saburlu
    1.5

    Altyazı yok. Hintli şivesini anlamak çok zor.

  • C
    Cam Hao Ha
    5.0

    great

  • L
    Lalithambigai Balasubramanian
    4.5

    Good More Informative

  • S
    Selva Jothi M
    4.0

    good

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