Data Structures and Algorithms: In Depth DSA using C# | Udemy


Data Structures and Algorithms: In Depth DSA using C# | Udemy [Update 05/2024]
English | Size: 4.6 GB
Genre: eLearning

Learn C# Data Structures, Algorithms (DSA) with Animated Examples, includes Dynamic Programming, Backtracking etc…

What you’ll learn
Understand Complexity of Algorithms ie Time and Space they take at runtime
Learn and compare Algorithms used in Searching and Sorting
Learn different Data Structures and how to use them in applications
Learn how to Code and Implement various data structures and algorithms in C#

This course will help you in better understanding of the basics of Data Structures and how algorithms are implemented in C#. This course consists of Videos which covers the theory concepts + implementation in C#.

There’s tons of concepts and content in this course:

  • Basics of data structures & Algorithms
  • Analysis of Algorithms (Big O, Time and Space complexity)
  • Recursion & Analysis of Recursive Algorithms
  • Searching Algorithms
  • Sorting Algorithms
  • Linked List
  • Stacks
  • Queues
  • Binary Trees
  • Binary Search Trees
  • Balanced Binary Search Trees
  • Priority Queues and Heaps
  • Hashing
  • Graphs
  • Graph Traversal Algorithms

Followed by Advanced Topics of Algorithms:

  • Sets and Disjoint Sets
  • Divide and Conquer Approach – Introduction
  • Divide and Conquer – Binary Search
  • Divide and Conquer – Finding Maximum and Mininum
  • Divide and Conquer – Merge Sort
  • Divide and Conquer – Quick Sort
  • Divide and Conquer – Selection Algorithm
  • Divide and Conquer – Strassens Matrix Multiplication
  • Divide and Conquer – Closest Pair
  • Divide and Conquer – Convex Hull
  • Greedy Method – Introduction
  • Greedy Method – Knapsack Problem
  • Greedy Method – Job Sequencing with Deadlines
  • Greedy Method – Mininum Cost Spanning Tree (Prim’s & Kruskal’s Algorithms)
  • Greedy Method – Optimal Storage on Trees
  • Greedy Method – Optimal Merge Pattern
  • Greedy Method – Single Source Shortest Path (Dijkstra’s Algorithm)
  • Dynamic Programming – Introduction
  • Dynamic Programming – Multistage Graphs
  • Dynamic Programming – All Pairs Shortest Path
  • Dynamic Programming – Single Source Shortest Path
  • Dynamic Programming – Optimal Binary Search Trees
  • Dynamic Programming – 0/1 Knapsack Problem
  • Dynamic Programming – Reliability Design
  • Dynamic Programming – Travelling Salespersons Problem
  • Backtracking – Introduction
  • Backtracking – n-Queesn Problem
  • Backtracking – Sum of Subsets Problem
  • Backtracking – Graph Coloring Problem
  • Backtracking – Hamiltonian Cycles Problem
  • Backtracking – 0/1 Knapsack Problem
  • Branch & Bound – Introduction
  • Branch & Bound – n-Queens Problem
  • Branch & Bound – Job Sequencing Problem
  • Branch & Bound – 0/1 Knapsack Problem

Again, each of these sections includes detailed videos tutorial.

Who this course is for:

  • Anyone who wants to learn Data Structures and Algorithms using C#
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