Advanced Data Structures and Algorithms in C# ( DSA )
Advanced Data Structures and Algorithms in C# ( DSA ), available at $74.99, has an average rating of 4.45, with 69 lectures, 5 quizzes, based on 153 reviews, and has 2615 subscribers.
You will learn about Understand various data structures and algorithms (DSA) through animations Get the ability to implement different algorithms in C# Get the confidence to face programming interviews Learn theory and implementation of Graph and related algorithms, AVL Trees, B Trees, Threaded Binary Trees and Expression Trees This course is ideal for individuals who are Professional Programmers wanting to write effective code or Programmers looking for jobs or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry It is particularly useful for Professional Programmers wanting to write effective code or Programmers looking for jobs or Computer Science students having Data Structures as part of their curriculum or Non Computer science students wanting to enter IT industry.
Enroll now: Advanced Data Structures and Algorithms in C# ( DSA )
Summary
Title: Advanced Data Structures and Algorithms in C# ( DSA )
Price: $74.99
Average Rating: 4.45
Number of Lectures: 69
Number of Quizzes: 5
Number of Published Lectures: 67
Number of Published Quizzes: 5
Number of Curriculum Items: 74
Number of Published Curriculum Objects: 72
Original Price: $129.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand various data structures and algorithms (DSA) through animations
- Get the ability to implement different algorithms in C#
- Get the confidence to face programming interviews
- Learn theory and implementation of Graph and related algorithms, AVL Trees, B Trees, Threaded Binary Trees and Expression Trees
Who Should Attend
- Professional Programmers wanting to write effective code
- Programmers looking for jobs
- Computer Science students having Data Structures as part of their curriculum
- Non Computer science students wanting to enter IT industry
Target Audiences
- Professional Programmers wanting to write effective code
- Programmers looking for jobs
- Computer Science students having Data Structures as part of their curriculum
- Non Computer science students wanting to enter IT industry
This “Advanced Data Structures and Algorithms In C#” course is thoroughly detailed and uses lots of animations to help you visualize the concepts.
Instructor is author of popular books “C In Depth” and “Data Structures Through C In Depth” helped 250,000+ students & professionals
This “Advanced Data Structures and Algorithms in C#” tutorial provides a comprehensive explanation of trees, different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation and that will help you to crack Data Structures and Algorithms in C# coding interviews questions and work on projects. Good foundation on Data Structures and Algorithms interview topics helps you to attempt tricky interview questions.
This Data Structures and Algorithms using C# course covers following topics with C# implementation :
Trees : AVL Tree, Threaded Binary Tree, Expression Tree, B Tree explained and implemented in C#
Graphs : Adjacency matrix, Adjacency list, Path matrix, Warshall’s Algorithm, Traversal, Breadth First Search (BFS), Depth First Search (DFS),
Dijkstra’s Shortest Path Algorithm, Prim’s Algorithm and Kruskal’s Algorithm for minimum spanning tree
Here is the course content-
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AVL Tree
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Threaded Binary Tree
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Expression Tree
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B Tree
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Graph
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Traversal in Graph
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Shortest Paths in Graph
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Minimum Spanning Tree of a Graph
The Data Structures and Algorithms with C# course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic. You will see code implementation of different data structures in C# and algorithms are explained in step-wise manner.
In this Data Structures and Algorithms through C# course, C# programs are used for implementing various Data structures and Algorithms, but you can easily code them in any other programming language like C++ or Python.
This Learn Data Structures and Algorithms In C# online course on udemy will help software developers to refresh the concepts studied in Data Structures and Algorithms In C# books / pdf and also to students learning from referred books / pdf.
What students are saying about this course –
“Great course and instructor.”
“Its well explained”
“Author is quite knowledgeable about algorithm and data structure, and explanations are detailed and very clear.”
“awesome tutorials maam. Really helped me understand algos which was my weak area. I have around 20 years of exp, yet i found your course very useful and learnt stuff that matters”
“Good course”
“Absolutely love this course. It was incredibly well explained and the code was amazing! I learned so much! Thank you.”
“Very clear concise and easy to understand explanations. Thank you making a hard topic easier to understand.”
“as good as data structure in C”
“Simple techniques to explain the average time complexity and rotation.”
So what are you waiting for, click on Buybutton to enroll now and start learning.
Course Curriculum
Lecture 1: Introduction to Advanced Data Structures and Algorithms Through C#
Chapter 1: Graph
Lecture 1: Important : Source Code Repository required for course
Lecture 2: Introduction
Lecture 3: Terminology
Lecture 4: Cycles
Lecture 5: Connectivity in Undirected Graph
Lecture 6: Connectivity in Directed Graphs
Lecture 7: Tree and Forest
Lecture 8: Representation of Graph : Adjacency Matrix
Lecture 9: Adjacency Matrix in C#
Lecture 10: Representation of Graph : Adjacency List
Lecture 11: Adjacency List in C#
Lecture 12: Transitive closure of a directed graph and Path Matrix
Lecture 13: Warshall’s Algorithm
Lecture 14: Warshall’s Algorithm in C#
Lecture 15: Your Review Matters!
Chapter 2: Traversal in Graph
Lecture 1: Introduction
Lecture 2: Breadth First Search
Lecture 3: Implementation of Breadth First Search
Lecture 4: Finding Shortest path in an unweighted graph
Lecture 5: BFS Spanning Tree
Lecture 6: BFS in Undirected Graphs : Finding Connected Components
Lecture 7: Depth First Search
Lecture 8: Implementation of Depth First Search through Stack
Lecture 9: Recursive Implementation of Depth First Search
Lecture 10: Classification of Edges in DFS of Directed Graph
Lecture 11: Classification of Edges in DFS of Undirected Graph
Chapter 3: Shortest Paths in Graph
Lecture 1: Shortest Path Problem
Lecture 2: Dijkstra’s Algorithm
Lecture 3: Dijkstra’s Algorithm : Example
Lecture 4: Dijkstra’s Algorithm in C#
Chapter 4: Minimum Spanning Tree of a Graph
Lecture 1: Introduction
Lecture 2: Prim's Algorithm
Lecture 3: Prim's Algorithm : Example
Lecture 4: Prim's Algorithm in C#
Lecture 5: Kruskal's Algorithm
Lecture 6: Kruskal's Algorithm : Example
Lecture 7: Implementation of Kruskal's Algorithm
Lecture 8: Kruskal's Algorithm in C#
Chapter 5: AVL Tree
Lecture 1: Introduction
Lecture 2: Rotations
Lecture 3: Insertion in AVL Tree – 1
Lecture 4: Insertion in AVL Tree – 2
Lecture 5: Insertion in AVL Tree – 3
Lecture 6: Insertion in AVL Tree – 4
Lecture 7: Examples of insertion in AVL Tree
Lecture 8: Deletion in AVL Tree – 1
Lecture 9: Deletion in AVL Tree – 2
Lecture 10: Deletion in AVL Tree – 3
Lecture 11: Examples of deletion in AVL Tree
Chapter 6: Threaded Binary Tree
Lecture 1: Introduction
Lecture 2: Insertion
Lecture 3: Deletion
Chapter 7: Expression Tree
Lecture 1: Introduction
Lecture 2: Constructing and Evaluating an Expression Tree
Lecture 3: Implementation of Expression Tree
Chapter 8: B tree
Lecture 1: Introduction
Lecture 2: Inorder Traversal
Lecture 3: Searching
Lecture 4: Insertion
Lecture 5: Implementation of Insertion – 1
Lecture 6: Implementation of Insertion – 2
Lecture 7: Deletion
Lecture 8: Examples of Deletion from Leaf Node
Lecture 9: Examples of Deletion from Non-Leaf Node
Lecture 10: Implementation of Deletion
Chapter 9: Bonus Lecture
Lecture 1: Recommended Course and offer on my other courses
Instructors
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Deepali Srivastava
Author, Ultimate Python Programming
Rating Distribution
- 1 stars: 9 votes
- 2 stars: 12 votes
- 3 stars: 22 votes
- 4 stars: 47 votes
- 5 stars: 63 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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