UDEMY 2021 - Algorithms and Data Structures in Java – Part II

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Data compression, tries, substring search and sorting

You can find "Download Link" as a button at the end of this article.

What Will I 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 data compression
  • Get to know sorting algorithms
  • Requirements

  • Core Java
  • Eclipse or other IDE
  • Description

    First, we are going to discuss prefix trees: modern search engines for example use these data structures quite often. When you make a google search there is an autocomplete feature because of the underlying trie data structure. It is also good for sorting: hashtables do not support sort operation but on the other hand, tries do support.

    Substring search is another important field of computer science.You will learn about Boyer-Moore algorithm and we will discuss brute-force approach as well as Raabin-Karp method.

    The next chapter is about sorting. How to sort an array of integers, doubles, strings or custom objects? We can do it with bubble sort, insertion sort, mergesort or quicksort. You will learn a lot about the theory as well as the concrete implementation of these important algorithms.

    The last lectures are about data compression: run-length encoding, Huffman encoding and LZW compression.

    Hope you will like the course, let’s get started!

    Who is the target audience?

  • This course is meant for university students with quantitative background (mathematics, computer science) but anyone with core java knowledge can get a good grasp of the lectures
  • Created by Holczer BalazsLast updated 4/2018EnglishEnglish [Auto-generated]

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