The Design and Analysis of Algorithm Masterclass
The Design and Analysis of Algorithm Masterclass, available at $59.99, has an average rating of 4.55, with 62 lectures, 12 quizzes, based on 497 reviews, and has 3970 subscribers.
You will learn about 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 This course is ideal for individuals who are Computer science students or Software working professionals who wants to learn better way to Solve a Problem It is particularly useful for Computer science students or Software working professionals who wants to learn better way to Solve a Problem.
Enroll now: The Design and Analysis of Algorithm Masterclass
Summary
Title: The Design and Analysis of Algorithm Masterclass
Price: $59.99
Average Rating: 4.55
Number of Lectures: 62
Number of Quizzes: 12
Number of Published Lectures: 62
Number of Published Quizzes: 12
Number of Curriculum Items: 74
Number of Published Curriculum Objects: 74
Original Price: $69.99
Quality Status: approved
Status: Live
What You Will Learn
- 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
Who Should Attend
- Computer science students
- Software working professionals who wants to learn better way to Solve a Problem
Target Audiences
- Computer science students
- Software working professionals who wants to learn better way to Solve a Problem
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
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12 hours of HD content [Updated on 2022 December]
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Assignment [Updated]
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Study Note [Updated]
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Certificate
Every Single Day we will check your questions and solve your queries.
Topics covered :
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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
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Knapsack Problem, Minimum Spanning Tree: Kruskal’s Algorithm, Minimum Spanning Tree: Prim’s Algorithm
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Huffman’s Codes – Building Huffman Tree, Dijkstra’s Algorithm, Bellman-Ford Algorithm, Floyd Warshall Algorithm
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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
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Will get to know Real-time uses of all Algorithm
-
Get the answer of your “WHY” part behind the use of every Algorithm
Course Curriculum
Chapter 1: Introduction & Overview
Lecture 1: About The Instructor
Lecture 2: Objective of the Course
Lecture 3: Prerequisite to take the Course
Lecture 4: Course Curriculum Overview
Chapter 2: Introduction to Algorithms
Lecture 1: 1.Introduction to Algorithms
Chapter 3: Asymptotic Notations
Lecture 1: 2.Big O, Big Omega and Big Theta
Lecture 2: Problems on Big O
Lecture 3: Algorithmic Complexity with Asymptotic Notations
Chapter 4: Recursion
Lecture 1: Linear Search, Greatest Common Divisor
Lecture 2: Factorial, Tail Recursion
Lecture 3: Recurrence Relations, Substitution Method
Lecture 4: Towers of Hanoi
Chapter 5: Divide and Conquer
Lecture 1: Binary Search
Lecture 2: Master Method
Lecture 3: Tiling a Defective Chessboard
Lecture 4: Merge Sort Part #1
Lecture 5: Merge Sort Part #2
Lecture 6: Quick Sort
Chapter 6: Dynamic Programming
Lecture 1: Fibonacci Numbers
Lecture 2: Rod Cutting
Lecture 3: Matrix Chain Multiplication
Lecture 4: Longest Common Sub Sequence
Chapter 7: Greedy Algorithms
Lecture 1: Knapsack Problem
Lecture 2: Minimum Spanning Tree: Kruskal's Algorithm
Lecture 3: Disjoint Sets and Kruskal's Algorithm
Lecture 4: Job Sequencing with Deadlines
Lecture 5: Heap
Lecture 6: Heap Sort
Lecture 7: Priority Queue
Lecture 8: Minimum Spanning Tree: Prim's Algorithm
Lecture 9: Huffman's Codes – Building Huffman Tree
Lecture 10: Huffman's Codes – Printing Huffman Codes
Chapter 8: Shortest Path Algorithms
Lecture 1: Dijkstra's Algorithm Part #1
Lecture 2: Dijkstra's Algorithm Part #2
Lecture 3: Dijkstra's Algorithm Part #3
Lecture 4: Bellman Ford Algorithm
Lecture 5: Topological Sort
Lecture 6: Shortest Path by Topological Sort
Lecture 7: Floyd Warshall Algorithm
Chapter 9: The Problem of String Matching
Lecture 1: Brute Force Matcher
Lecture 2: String Matching with Finite Automaton
Lecture 3: Pattern Pre-Processing
Lecture 4: The Knuth Morris Pratt Algorithm
Chapter 10: Backtracking
Lecture 1: Rat in Maze
Lecture 2: n-Queens Algorithm Part #1
Lecture 3: n-Queens Algorithm Part #2
Lecture 4: Graph Coloring Part #1
Lecture 5: Graph Coloring Part #2
Lecture 6: Hamiltonian Cycles I
Lecture 7: Hamiltonian Cycles II
Lecture 8: Subset Sum
Chapter 11: Branch & Bound
Lecture 1: Introduction to Branch and Bound
Lecture 2: 0/1 Knapsack Problem
Lecture 3: The 15 Puzzle Problem
Lecture 4: Solvability of 15 Puzzles
Chapter 12: NP Completeness
Lecture 1: Introduction to NP Completeness
Lecture 2: Reductions
Lecture 3: The Circuit Satisfiability Problem
Lecture 4: More NP Complete Problems 1
Lecture 5: More NP Complete Problems 2
Chapter 13: Approximation Algorithms
Lecture 1: Approximation Algorithms
Lecture 2: The Vertex Cover Problem
Instructors
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Up Degree
New Skills Everyday!
Rating Distribution
- 1 stars: 11 votes
- 2 stars: 16 votes
- 3 stars: 71 votes
- 4 stars: 167 votes
- 5 stars: 232 votes
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