Data Structures in Java - Part I (+INTERVIEW QUESTIONS) (Udemy.com)

Basic algorithms and data structures: AVL tree, binary search tree, array, linked list, stack, queue and hashmaps

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Created by: Holczer Balazs

Produced in 2021

What you will learn

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

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Course Description

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. Section 1:
data structures and abstract data typeswhat are arrays and linked listsarrays and linked list related interview questionsSection 2:
what are stacks and queuesheap memory and stack memorySection 3:
tree data structuresbinary search trees balanced search trees:
AVLtrees and red-black treessplay trees (cache)B-trees and their applications in memoryheapsSection 4:
what are hashing and hashtables (hashmaps)what are hash-functionshow to achieve O(1) running time complexitySection 5 (BONUS):
what is LRU cacheLRU cache implementationSection 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 astep by step basisin 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!
Who this course is for:
This course is meant for everyone from scientists to software developers who want to get closer to algorithmic thinking in the main

Time: 14.5h

Instructor Details

Holczer Balazs

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Hi!
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.
Take a look at my website if you are interested in these topics!