
You will find an introduction to this entire course here. There are 4 sessions with assignments .
Explore fundamental graph theory concepts, including graph order, edges, directed vs undirected graphs, loops and multiple edges, labeled and unlabeled graphs, and complete graphs.
Complete this assignment for an introduction to graph theory by identifying which of the three pictures represents a celebrity graph, with hints available if needed.
Learn how vertex degree defines connections, from regular graphs to Petersen graph and the Q3 hypercube, and apply the handshake lemma that the sum of degrees equals twice the edges.
Assignment 2 uses degree-sum properties of a regular graph to determine vertex/edge counts and explores genus-related regularity, deriving possible counts from divisors of 30.
complete assignment 3 by analyzing the given directed graphs, answering the questions, and applying basic graph theory concepts for AI.
Explore fundamental graph concepts such as walks, trails, circuits, paths, cycles, and trees, including definitions, lengths, and constraints on edge and vertex repetition.
Explore graph theory concepts in assignment 4 by constructing an initial walk, a trail, and a closed loop, using labeled vertices and edges such as E2 and v2.
Learn to identify eulerian circuits and hamiltonian cycles in graphs, understand degree conditions and connectedness, and distinguish between eulerian and hamiltonian graphs through practical examples.
tackle assignment 5 in graph theory for ai, demonstrating whether a given graph is Hamiltonian and examining graphs that contain no data, with guidance offered.
Explore digraphs and incidence matrices in directed graphs, and practice constructing graphs from adjacency matrices and deriving incidence matrices for multiple edges.
Explore planar graphs by examining vertices, edges, and regions, and apply Euler's formula v minus e plus r equal to two to analyze drawings and edge intersections.
Graph theory plays an important role in Mathematics, Data Science and Computer Science. This Introductory course on Graph theory will help you understand the basics of Graph theory in an easy manner. I am Suman Mathews, math educator and teacher.
Having a teaching experience of three decades in Mathematics, I try to make math easy to understand for all students. The course starts with a basic knowledge of Graph theory and some standard terms such as vertices and edges. You'll learn about connected graphs and solve problems based on these. Learn what are trails or circuits in graphs.
Moving on, you'll learn simple properties of graphs, such as the sum of the degrees of the vertices of a graph. You'll also learn what is a complete bipartite graph and how to calculate the total number of edges in it. The course progresses to isomorphic graphs and how to check for isomorphism in graphs.
Learn about in degree and out degree of vertices. An important concept which you'll learn next is Eulerian graphs and Eulerian circuits. Learn to determine when a connected graph has an Eulerian circuit or an Eulerian Trial. You'll also learn what are Hamiltonian graphs and how to solve problems on these.
You'll get a basic overview of regular graphs, complement of a graph, union and intersection of a graph. Also learn about ring sum of a graph and graph decomposition. Labeling the vertices and edges of a graph is also explained.
Learn how to write the Matrix representation of graphs and how to understand the incidence and adjacency matrix of a graph.
Also learn what are Digraphs and how to construct the incidence matrix for a digraph. Learn about planar graphs and Euler's Theorem which gives a relation between number of vertices, edges and regions.
Get an introduction to Eulerian graphs and it's properties.
An easy course for you to learn. Would you care to share this knowledge with other students. Spread the word around!
Hope you will be benefited from this course. Note that you need to practice all these to get a clear understanding. Thank you!