Data Structures and Algorithms: In Depth DSA using C#

• 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 withDeadlines

• Greedy Method - Mininum CostSpanning 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.