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  • Author: voska89
  • Date: 8-10-2015, 13:35
8-10-2015, 13:35

Advanced Data Structures and Algorithms in Java

Category: Tutorials

Advanced Data Structures and Algorithms in Java
Udemy - Advanced Data Structures and Algorithms in Java
MP4 | Video: 1280x720 | 53 kbps | 44 KHz | Duration: 4 Hours | 567 MB
Genre: eLearning | Language: English

Learn Advanced Data Structures and Algorithms in Java to provide efficient solutions to complex problems

This course provides a comprehensive explanation of different types of graph and various graph algorithms. Throughout the course a step by step approach is followed to make you understand different algorithms. Through this course you can build a strong foundation in Data Structures and Algorithms that can help you to crack coding interviews and work in the industry.

The course is broken down into easy to assimilate short lectures and complete working programs are shown for each concept that is explained. The algorithms and examples are explained with figures and animations to simplify the learning of this complex topic.

rl=#readmorerlIn this course, Java is used for implementing various Data structures and Algorithms, but you can easily implement them in any other language like C++, C#, Python.

This course will be expanded soon, the topics that will be added to this course are-

AVL Tree
Threaded Binary Tree
Huffman coding
Searching and Hashing
Digital Search Tree
Red Black Tree
B tree
Floyds Algorithm
Bellman Ford Algorithm
Topological sorting
What are the requirements?

Basic knowledge of programming in any language
Basic knowledge of linked list, stack, queue and binary search trees
What am I going to get from this course?

Over 37 lectures and 3.5 hours of content!
Understanding of various graph algorithms
Ability to implement different types of Graph and related algorithms
What is the target audience?

Professional Programmers wanting to write effective code
Programmers looking for jobs
Computer Science students having Data Structures as part of their curriculum
Non Computer science students wanting to enter IT industry
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