
Graph theory is the study of collection of vertices and its edges.
What you'll learn
- Graph theory concepts in simple and elegant way.
- It is used in various application like Linguistics, Engineering, Molecular study,Mathematics and etc.,
- In the end of this course the student learn Graph theory and fundamentals.
- Types of Graphs
- konigsberg bridge problem.
- Handshaking theorem,
- Graph Isomorphism
- Complement of a graph
- Walk and its classification
- Graph colouring and Chromatic number calculation
Requirements
- Basic knowledge
Description
In the domain of mathematics and computer science, graph theory is the study of graphs that concerns with the relationship among edges and vertices. It is a popular subject having its applications in computer science are as follows:Electrical Engineering − The concepts of graph theory is used extensively in designing circuit connections. The types or organization of connections are named as topologies. Some examples for topologies are star, bridge, series, and parallel topologies.
Computer Science − Graph theory is used for the study of algorithms. For example,
- Kruskal's Algorithm
- Prim's Algorithm
- Dijkstra's Algorithm
Science − The molecular structure and chemical structure of a substance, the DNA structure of an organism, etc., are represented by graphs.
My motive is to teach easily always, so that learner feel the comfort, happiness, interest in learning and that will make them to be expert in that subject.
The benefits of this course, You will learn
- Mindset to get new results
- Be balance and start learning
- Graph theory and its fundamentals
- Types of graph
- Handshaking theorem
- Konigsberg bridge problem
- Graph isomorphism
- Complement of a graph
- Walk and its classification
- Graph colouring and chromatic number identification
- Resource list : Solved pdf, ppt, Energy brain music list, Best websites to refer further, Best free online test practice websites.
Who this course is for:
- Academics or Students who are interested to build their career in computer science ,Linguistics, Engineering, Molecular study, Mathematics and et,