Udemy - Graph Theory - Walks, Connectivity and Trees

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Free Download Udemy - Graph Theory - Walks, Connectivity and Trees
Last updated: 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 25m | Size: 880 MB
Master walks, connectivity and trees in Graph Theory!

What you'll learn
Understand the concepts of walks and paths in graph theory and their significance.
Analyze connected graphs and explore their properties and practical applications.
Identify and study connected components and their role in graph structure.
Learn about cut vertices and bridges, understanding their impact on graph connectivity.
Examine the concept of distance in graphs, focusing on shortest paths and related properties.
Requirements
Have a basic knowledge of Graph Theory.
To have already taken Part 1 and Part 2
Description
Welcome to Graph Theory - Walks, Connectivity and Trees, a focused and in-depth course designed to strengthen your understanding of core topics in graph theory. Whether you're a mathematics student, a computer science enthusiast, or an aspiring researcher, this course will guide you through some of the most fundamental and widely applicable concepts in graph theory.We begin with the notion of walks, one of the most basic yet powerful tools in the study of graphs. You'll learn how to distinguish between walks, trails, paths, and cycles, and see how these concepts help describe the structure of a graph. Understanding these distinctions is essential when analyzing graph traversal, route planning, and many algorithms that rely on connectivity.Next, we turn to connectivity, a key concept when analyzing whether and how different parts of a graph are linked. You'll explore connected components, cut-vertices, bridges, and vertex/edge connectivity, gaining tools to analyze the robustness and structure of networks. These topics are crucial in fields ranging from social network analysis to communication systems and transportation planning.The final part of the course is dedicated to trees, one of the most elegant and widely used structures in graph theory. You'll study their definitions, properties, and characterizations. We'll look at rooted trees, binary trees, spanning trees, and see how they apply in various domains such as data structures, hierarchical models, and optimization.Throughout the course, the emphasis is on clarity, intuition, and practical understanding. Each concept is introduced with carefully chosen examples and explanations designed to help you build strong foundations in graph theory.By the end of the course, you'll be equipped with the knowledge and confidence to analyze graphs rigorously and apply these concepts to a wide range of problems.
Who this course is for
Anyone interested in learning advanced concepts in Graph Theory.
Engineering, Science, or Mathematics students.
Software engineers.
Programmers.
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