Data Structures in Java - Part I (+INTERVIEW QUESTIONS)
Basic algorithms and data structures: AVL tree, binary search tree, array, linked list, stack, queue and hashmaps
- grasp the fundamentals of algorithms and data structures
- develop your own algorithms that best fit to the personal need
- detect non-optimal code snippets
- get to know basic complexity related definitions
- get to know linked lists
- get to know arrays
- get to know balanced trees: AVL trees and red-black trees
- get to know hash tables
- Core java
- Eclipse or other IDE
This course is about data structures and algorithms. We are going to implement the problems in Java. The course takes approximately 14 hours to complete. It is highly recommended to type out these data structures several times on your own in order to get a good grasp of it.
data structures and abstract data types
what are arrays and linked lists
arrays and linked list related interview questions
what are stacks and queues
heap memory and stack memory
tree data structures
binary search trees
balanced search trees: AVL trees and red-black trees
splay trees (cache)
B-trees and their applications in memory
what are hashing and hashtables (hashmaps)
what are hash-functions
how to achieve O(1) running time complexity
Section 5 (BONUS):
what is LRU cache
LRU cache implementation
Section 6 (BONUS):
Fenwick trees (binary indexed trees)
binary indexed tree implementation
In each chapter you will learn about the theoretical background of each algorithm or data structure, then we are going to write the code on a step by step basis in Eclipse, Java.
Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market.
Thanks for joining the course, let's get started!
- This course is meant for everyone from scientists to software developers who want to get closer to algorithmic thinking in the main
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