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Graph Theory Algorithms in Java | Free Udemy Course
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Graph Theory Algorithms in Java | Free Udemy Course

Free $49.99100% off
Price expires 1 year ago or 622 uses

Learn and understand graph theory algorithms in computer science. Solve frequently asked graph coding interview problems | Free Udemy Course

(4 ratings)
4427 students
Created by:
Last updated 2/2023Course Language EnglishCourse Caption English [Auto]Course Length 09:55:08 to be exact 35708 seconds!Number of Lectures 31
This course includes:
  • 10 hours hours of on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Welcome to the course - "Graph Theory Algorithms in Java".This course provides a complete overview of Graph Theory algorithms.Graph Theory is an advanced topic in Computer Science. This course will offer you the opportunity to gain a solid understanding in Graph Theory. Graphs are used to solve many real-life problems. Graphs are used to represent networks. The networks may include paths in a city or telephone network or circuit network. Graphs are also used in social networks like linkedIn, Facebook. For example, in Facebook, each person is represented with a vertex(or node). Each node is a structure and contains information like person id, name, gender, locale etc. Why you should learn Graph Theory?Not interested in graphs? Whether you like them or not, practical use of graph data structures and graph algorithms is all around us. They are powerful, versatile, widely spread and used by everyone, without even knowing it: Google maps uses graphs for building transportation systems, Facebooks friend suggestion uses graph theory (Facebook users are vertices and if they are friends there is an edge running between them), every modelling of social networks, Windows file explorer; you’re even using graph algorithms while reading this — the internet is a collection of hosts and routers connected by various links, for host A to find host B it must find an optimal path through all this mess. Other than the IT world, graphs have very wide usage in linguistics, chemistry, physics, biology and, of course, mathematics.This course contains:Graph Representation using Adjacency MatrixGraph Representation using Adjacency ListGraph Traversal Algorithm, BFS (Breadth First Search) and DFS (Depth First Search)Different types of Graph AlgorithmsMost Common and Frequently Asked Graph QuestionsWatch some preview video, if you are interested enrol this course :)See you inside :)Who this course is for:Competitive Programmers, Software Engineers & Computer Science studentsIntermediate-Advanced Programmers with basic coding experienceCollege/ University students pursuing Computer Science or related fieldsSoftware Engineers & Computer Science studentsPassionate programmers who want deep dive into Graph Theory

Course Content:

Sections are minimized for better readability, click the section title to view the course content

2 Lectures | 02:17
1 Lectures | 04:02
2 Lectures | 36:57
2 Lectures | 21:41
1 Lectures | 12:33
1 Lectures | 29:49
1 Lectures | 26:21
1 Lectures | 19:35
1 Lectures | 27:19
1 Lectures | 25:13
1 Lectures | 28:50
1 Lectures | 22:07
1 Lectures | 15:19
1 Lectures | 34:21
1 Lectures | 25:01
1 Lectures | 39:23
1 Lectures | 26:50
1 Lectures | 16:28
1 Lectures | 23:59
1 Lectures | 30:18
1 Lectures | 09:53
1 Lectures | 08:53
1 Lectures | 21:07
1 Lectures | 12:08
1 Lectures | 21:00
1 Lectures | 15:39
1 Lectures | 20:20
1 Lectures | 17:45
(4 course ratings)






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