Volver a Introduction to Graph Theory

4.6

187 calificaciones

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43 revisiones

We invite you to a fascinating journey into Graph Theory — an area which connects the elegance of painting and the rigor of mathematics; is simple, but not unsophisticated. Graph Theory gives us, both an easy way to pictorially represent many major mathematical results, and insights into the deep theories behind them.
In this course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors. We will study Ramsey Theory which proves that in a large system, complete disorder is impossible!
By the end of the course, we will implement an algorithm which finds an optimal assignment of students to schools. This algorithm, developed by David Gale and Lloyd S. Shapley, was later recognized by the conferral of Nobel Prize in Economics.
As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students....

por SU

•Feb 28, 2019

Appreciate the structure and the explanations with examples. The practice tool before every lesson not makes it fun to learn but also sets the student in the context and can anticipate the concept.

por RH

•Nov 17, 2017

Was pretty fun and gave a good intro to graph theory. Definitely felt inspired to go deeper and understood the most basic proof ideas. The later lectures can spike in difficulty though. Very nice!

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42 revisiones

por M UDAY KIRAN REDDY

•Mar 20, 2019

nice course

por D V S SUMANTH REDDY

•Mar 16, 2019

NICE COURSE

por Robert Nowell

•Mar 11, 2019

Unfortunately, several of the lectures were challenging to follow, and I found this course to be relatively less valuable compared to previous courses in the intro to discrete math specialization. Also, the examinations were fairly trivial to complete even without watching the lectures. Thus, the worst of both worlds: lectures that did not help me to learn paired with examinations that did not require mastery of the material.

por Wan Hong Lau

•Mar 10, 2019

The lecturer well explained the course materials. But the assignments are too easy to complete, it does not tease your brain as exercise, and the week 5 is a bit hard to follow

por Sivakrishna Uppalamethi

•Feb 28, 2019

Appreciate the structure and the explanations with examples. The practice tool before every lesson not makes it fun to learn but also sets the student in the context and can anticipate the concept.

por Patrizio Simeoni

•Feb 02, 2019

I wish to thank the professors for having brought this course to Coursera, this topic is absolutely fantastic, and very well presented. I highly recommend it.

por Kijin Kim

•Jan 24, 2019

I don't like one lecturer among faculty of it because of sloppy preparation and stuttering . But other lecture material was good like other courses in this specialization.

por Praveen Kumar Rana

•Jan 23, 2019

The course content is good. All exercises and problems are very nice for learning and understanding any concept.

por Tarashankar Bandyopadhyay

•Jan 19, 2019

Excellent course

por Alex Yursha

•Jan 11, 2019

Some explanations could be more detailed. The course jumps over important theorems too fast, so there may not be enough time to internalize knowledge for some. If one wants to understand basics of Graph Theory well, external readings may be required.

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