Graph Theory
What you’ll learn
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Master fundamental concepts in Graph Theory
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Understand Eulerian and Hamiltonian paths and circuits. And many related topics to Paths.
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Get to know a wide range of different Graphs, and their properties.
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Be able to preform Elementary, Advanced Operations on Graphs to produce a new Graph
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Understand Graph Coloring.
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Know how to turn a Graph into a Matrix and vice versa.
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Obtain a solid foundation in Trees, Tree Traversals, and Expression Trees.
What is this course about?
Graph Theory is an advanced topic in Mathematics. On a university level, this topic is taken by senior students majoring in Mathematics or Computer Science; however, this course will offer you the opportunity to obtain a solid foundation in Graph Theory in a very short period of time, AND without requiring you to have any advanced Mathematical background.
The course is designed to be understood by a 12th grader since the structure of the course starts with the very basic idea of how to create a Graph, and with each step the ideas get more and more complex. The course consists of several sections and in each section, there are video lectures where I explain a few concepts. There are quizzes (with solutions) after every lecture so you can test what you have learned in that lecture.
The structure of the course goes as following starting with the first section:
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Supplements
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Fundamentals
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Paths
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Graphs Types
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Trees
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Digraphs and Tournaments
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Planar Graphs
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Graphs Operations
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Graph Colorings
YOU WILL ALSO GET:
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Lifetime Access
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Q&A section with support
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Access on mobile and TV
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Certificate of completion
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30-day money-back guarantee
How are the concepts delivered?
Each lecture is devoted to explaining a concept or multiples concepts related to the topic of that section. There are example(s) after the explanation(s) so you understand the material more. The course is taught in plain English, away from cloudy, complicated mathematical jargon and that is to help the student learn the material rather than getting stuck with fancy words.
How to learn better?
Take notes and repeat the lectures to comprehend the concepts more. Also, there are quizzes after every lecture so you can test what you have learned.
Who this course is for:
- Mathematics or Computer Science students
- Anyone interested in learning advanced Mathematics in an easy way
Jorge Graneri –
Tiene contenido. Es conciso, es directo, las explicaciones son claras, las figuras y el uso del recurso visual son excelentes.
Victor –
Ha sido una muy buena elección ya que el curso esta muy bien organizado y presentado. El instructor es muy claro y conciso.
KAMAL W. FOX –
The instructors command of English isn’t great (poor grammar) and his accent is difficult to decipher (unclear pronunciation). It makes following the lectures unnecessarily difficult. The content is fine.
Abdul Omar –
Explanations are very clear, better than my college prof. Highly recommend it.
David Litot –
So slow, waste of time
Geoffrey Slagle –
This is a very good course. I have two suggestions for improvement:
1. A brief review of the previous section at the start of each section. This course covers many topics.
2. Some mention of the practical applications of some of the topics covered.
Oscar Loyola –
El curso es excelente, las explicaciones claras y con ejemplos aplicados
Amit Singh –
this is the best online course I have even attended.
Andrew Inglis –
It was a great course in enabling me to better understand graph theory!
Allen Lazzara –
.Just finished the course, Miran Fatteh conveys the concepts of this course in a clear & concise manner. His teaching style is impeccable. He conveys the concept, gives examples and iterates the concept in other descriptive terms. I will definitely be taking his other courses.
Maximilian Meidinger –
Quite good introduction to the topic, lacking only in specific subtopics more relevant for machine learning applications. However, these shortcomings can be easily remedied by following the literature hints given in the course and having a look into the book by Diestel on the topic. There, further topics of interest for applications, such as spectral graph theory and much more can be explored with the knowledge of the course in the back of your head. All in all the course offers a well-explained and well-illustrated, comprehensive introduction to the topic, only outclassed by the – far more time-intensive – standard literature of the field.
Aldrin Castro –
Very good explanations of the topics. Easy to follow. Ideal for beginners like me.