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Development Software Engineering Java

Byte-Sized-Chunks: Graph Algorithms and Problems in Java

Djisktra, Prim, Kruskal, Bellman-Ford, the topological sort - all will make sense now!
Rating: 4.5 out of 54.5 (56 ratings)
2,825 students
Created by Loony Corn
Last updated 3/2016
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Design and implement software using canonical graph algorithms - Djikstra, Prim, Kruskal, Bellman Ford and topological sort
  • Understand the use-cases for the common graph algorithm

Course content

5 sections • 28 lectures • 5h 13m total length

  • Preview01:14
  • Preview15:40
  • Types Of Graphs
    07:21
  • The Directed And Undirected Graph
    14:29
  • Representing A Graph In Code
    08:09
  • Graph Using An Adjacency Matrix
    15:25
  • Graph Using An Adjacency List And Adjacency Set
    17:53
  • Comparison Of Graph Representations
    10:08
  • Graph Traversal - Depth First And Breadth First
    14:56

  • Topological Sort In A Graph
    17:30
  • Implementation Of Topological Sort
    06:56

  • Introduction To Shortest Path In An Unweighted Graph - The Distance Table
    12:38
  • The Shortest Path Algorithm Visualized
    14:15
  • Implementation Of The Shortest Path In An Unweighted Graph
    06:19
  • Introduction To The Weighted Graph
    03:29
  • Shortest Path In A Weighted Graph - A Greedy Algorithm
    18:47
  • Dijkstra's Algorithm Visualized
    14:14
  • Implementation Of Dijkstra's Algorithm
    08:15
  • Introduction To The Bellman Ford Algorithm
    08:40
  • The Bellman Ford Algorithm Visualized
    11:22
  • Dealing With Negative Cycles In The Bellman Ford Algorithm
    07:36
  • Implementation Of The Bellman Ford Algorithm
    06:54

  • Prim's Algorithm For a Minimal Spanning Tree
    17:27
  • Use Cases And Implementation Of Prim's Algorithm
    09:52
  • Kruskal's Algorithm For a Minimal Spanning Tree
    08:43
  • Implementation Of Kruskal's Algorithm
    07:34

  • Design A Course Schedule Considering Pre-reqs For Courses
    13:01
  • Find The Shortest Path In A Weighted Graphs - Fewer Edges Better
    14:31

Requirements

  • Basic knowledge of programming is assumed, preferably in Java

Description

Note: This course is a subset of our much longer course 'From 0 to 1: Data Structures & Algorithms' so please don't sign up for both:-)

This is an animated, visual and spatial way to learn data structures and algorithms

  • Our brains process different types of information differently - evolutionarily we are wired to absorb information best when it is visual and spatial i.e. when we can close our eyes and see it
  • More than most other concepts, Data Structures and Algorithms are best learnt visually. These are incredibly easy to learn visually, very hard to understand most other ways
  • This course has been put together by a team with tons of everyday experience in thinking about these concepts and using them at work at Google, Microsoft and Flipkart

Taught by a Stanford-educated ex-Googler.

The graph is a data structure that is used to model a very large number of real world problems. It's also an programming interview favorite. The study of graphs and algorithms associated with graphs forms an entire field of study called graph theory.

  • Directed and undirected graphs
  • Adjacency matrices, lists and sets
  • Breadth and Depth-First traversal
  • Topological sort
  • Djikstra's algorithm
  • Bellman-Ford algorithm
  • Prim's algorithm
  • Kruskal's algorithm

Who this course is for:

  • Nope! Please don't enroll for this class if you have already enrolled for our 15-hour course 'From 0 to 1: Data Structures and Algorithms'
  • Yep! Computer Science and Engineering grads who are looking to really visualise data structures, and internalise how they work
  • Yep! Experienced software engineers who are looking to refresh important fundamental concepts
  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role

Instructor

Loony Corn
An ex-Google, Stanford and Flipkart team
Loony Corn
  • 4.2 Instructor Rating
  • 22,028 Reviews
  • 131,372 Students
  • 73 Courses

Loonycorn is us, Janani Ravi and Vitthal Srinivasan. Between us, we have studied at Stanford, been admitted to IIM Ahmedabad and have spent years  working in tech, in the Bay Area, New York, Singapore and Bangalore.

Janani: 7 years at Google (New York, Singapore); Studied at Stanford; also worked at Flipkart and Microsoft

Vitthal: Also Google (Singapore) and studied at Stanford; Flipkart, Credit Suisse and INSEAD too

We think we might have hit upon a neat way of teaching complicated tech courses in a funny, practical, engaging way, which is why we are so excited to be here on Udemy!

We hope you will try our offerings, and think you'll like them :-)

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