Course: Introduction to Algorithms and Data Structures

$49.00
$59.29 incl. vat

duration: 4 hours |

Language: English (US) |

access duration: 90 days |

Details

In this Algorithms and Datastructure training course you will learn the basics of algorithms and datastructure. The examples are in the programming language C++. You will learn what you have to know as a programmer without mathematics.

Among subjects that covered are terms of Big O notation, stack of integers in C++, adjancy matrix, Breadth First Search, Depth First Search and far more.

Result

After completing this course you are familiar with the basics of algorithms and datastructure.

Prerequisites

There is no specific knowledge required.

Target audience

Software Developer, Web Developer, Database Administrators

Content

Introduction to Algorithms and Data Structures

4 hours

Introduction to Algorithms and Data Structures

  • start the course
  • recognize the definition of a data structure and its importance in computer science
  • define what an algorithm is informally and discuss a few aspects of algorithms we need to consider as programmers
  • define the complexity of an algorithm in terms of Big O notation
  • define and use static arrays in C++
  • define and use dynamic arrays in C++
  • use a recursive binary search in C++
  • implement a fixed-size stack of integers in C++
  • implement a fixed-size queue of integers in C++
  • implement a linked list in C++
  • construct and destruct a Binary Search Tree (BST) in C++
  • perform a search using recursion on a BST in C++
  • insert elements into a BST in C++
  • delete elements from a BST in C++
  • implement a Bubble sort to sort a list of integers in C++
  • implement a Merge sort in C++
  • implement a Quicksort in C++
  • define a graph as an adjacency list in C++
  • define a graph as an adjacency matrix in C++
  • perform a Breadth First Search (BFS) on a graph represented by an adjacency list in C++
  • perform a Depth First Search (DFS) on a graph represented by an adjacency matrix in C++
  • implement a Topological Sort in C++ to sort a graph represented by an adjacency list
  • define a hashed data structure and discuss when to best use them
  • implement a custom hash function in C++
  • discuss the difference between perfect and non-perfect hashing, and implement a perfect hash in C++
  • discuss the method of handling collisions using separate chaining
  • learn the use of the fundamental basics of algorithms and data structures

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 

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What is included?

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