Graph Theory - Walks, Connectivity and Trees

About this course

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.

Course objectives

• to strengthen your grasp of core graph theory concepts
• to provide practical tools for analyzing networks
• to enhance your confidence in applying graph theory to real-world problems