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Algorithms and Data Structures in Java - Part II

This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C++ or Python. The course takes approximately 7 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it.

Section 1:

  • what are prefix trees (tries)

  • basics operations: insertion, sorting and autocomplete

  • longest common prefix problem

  • prefix trees applications in networking

Section 2:

  • what are ternary search trees

  • basic operations: insertion and retrieval

Section 3:

  • substring search algorithms

  • brute-force substring search

  • Boyer-Moore substring search

  • Rabin-Karp algorithm

Section 4:

  • strings in programming

  • prefixes and suffixes

  • longest common prefix and longest repeated substring problem

Section 5:

  • basic sorting algorithms

  • bubble sort and selection sort

  • insertion sort and shell sort

  • quicksort and merge sort

Section 6:

  • what is data compression

  • run length encoding

  • Huffman-encoding

  • LZW compression and decompression

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.

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Rating 4.2 based on 39 ratings
Length 7.5 total hours
Starts On Demand (Start anytime)
Cost $12
From Udemy
Instructor Holczer Balazs
Download Videos Only via the Udemy mobile app
Language English
Subjects IT & Networking
Tags Development IT & Software Other Other IT & Software

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What people are saying

very clear

Author has taken a lot of effort for giving a deeply detailed explanation of each topic It's a great course, the instructor is very clear in his explications and every algorithm has its own implementation.

Material is presented in very clear, concise manner.

Concepts are very very clear, It is very useful for people like me from non Computer Science background.

He explains everything very clearly.

Kendisi gayet başarılı bir şekilde anlatıyor Very clear explanation of the subjet The teacher introduced me to knowledge of algorithms such as Boyer Moore Algorithm.

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data structures

I have taken Algorithms and Data Structures in Java Part 1 and this course is part 2 and both of these courses are very good.

If you fully want to understand how things work and become a better programmer then take his two courses on data structures and algorithms.

Do yourself a favor and take his 2 courses on Data Structures- you dont have to know java - just convert what he is doing into whatever language you are working with.

I'm currently doing a refresher on data structures and algorithms using material from several sources.

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while coding

The coding part have a few errors, they are corrected while coding but I got confused at the first time.

Not to much explanation while coding, mainly while coding in String problems part.

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Rating 4.2 based on 39 ratings
Length 7.5 total hours
Starts On Demand (Start anytime)
Cost $12
From Udemy
Instructor Holczer Balazs
Download Videos Only via the Udemy mobile app
Language English
Subjects IT & Networking
Tags Development IT & Software Other Other IT & Software

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