Chevron Left
Retour à Graph Search, Shortest Paths, and Data Structures

Graph Search, Shortest Paths, and Data Structures, Université de Stanford

1,098 notes
122 avis

À propos de ce cours

The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis)....

Meilleurs avis

par JA

Oct 16, 2018

Interesting problems and explanations. But mathematical analysis is going off of my mind. It has very good explanation. Not sure, whether I can carry forward that knowledge or not.

par HC

Nov 12, 2017

Focused on principles and motivations behind algorithms. You might forget an algorithm you learned, but you will definitely be able to come up with one quickly after this course.

Filtrer par :

119 avis

par Nadanai Laohakunakorn

Mar 30, 2019

Wonderful material but some issues with programming assignments which need updating

par Nicolas Thiébaut

Mar 28, 2019

Another great, in-depth, course on algorithms. Now that the book is also available it's even better. Please just rework the assignment of week 4, it is unrelated to the week's lecture if you want to complete it in a reasonable time.

par Saurav Mehta

Mar 22, 2019

NIce course

par Bianca Danforth

Feb 23, 2019

Great course; especially on Data Structures and when certain ones are appropriate. I do wish the final exam solutions would be posted after completing the exam successfully in the same way the problem set solutions, hints and comments are provided.

par Genyu Zhang

Feb 10, 2019

This course is well useful. It helps me understand much I'm curious about. Thanks for teacher. He is quite good and I can't wait to enroll the third course!

par amosnier

Feb 08, 2019





















par clayton wong

Feb 03, 2019


par Ning Ke

Jan 27, 2019

Super super cool explanation of the shortest path, minimum spanning tree, and all other algorithms!

par Garrett Swanburg

Dec 15, 2018

Love the course and the instructor. The projects are very interesting, though the first one took a lot of effort to keep from crashing.

par Anton Berezin

Nov 30, 2018

Awesome. Thought one improvement idea: when the questions are asked about some dataset shown in a picture it would be nice to retain the picture when the form is shown. Otherwise one need to rewind to recall the dataset.