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Udemy

Algorithms (Data Structures) Bootcamp in C++

via Udemy

Overview

Recursion, Backtracking, Dynamic Programming, Graphs, Data Structures, Sorting and Substring Search Algorithms

What you'll learn:
  • understand recursion and stack memory
  • understand backtracking
  • understand dynamic programming
  • understand the fundamental data structures
  • understand arrays and linked lists
  • understand stacks and queues abstract data types
  • understand tree data structures (binary search trees and heaps)
  • understand hashing and hash-based data structures such as hash tables
  • understand graph algorithms
  • understand breadth-first search and depth-first search
  • understand shortest path problem (Dijkstra's and Bellman-Ford algorithm)
  • understand substring search algorithms (Rabin-Karp, Knuth-Morris-Pratt and Z algorithms)
  • understand sorting algorithms

This course is for those who are interested in computer science and want to implement the algorithms and given data structures in C++ from scratch. In every chapter you will learn about the theory of a given data structure or algorithm and then you will implement them from scratch.

Chapter 1: Recursion

  • theory behind recursion (recursive function calls)

  • stack memory and heap memory

  • recursion and stack memory of the OS

  • recursive problems such as the Towers of Hanoi problem

Chapter 2: Backtracking

  • what is backtracking

  • how to solve problems with backtracking

  • N-queens problem

  • coloring problem

  • knight's tour

Chapter 3: Dynamic Programming

  • overlapping subproblems and dynamic programming

  • what is "memoization" and "tabulation"?

  • Fibonacci numbers

  • knapsack problem

Chapter 4: Data Structures

  • data structures and abstract data types (ADTs)

  • arrays

  • linked lists

  • stacks

  • queues

  • binary search trees

  • priority queues (heaps)

  • associative arrays (hash tables)

Chapter 5: Graphs

  • directed and undirected graphs

  • graph traversal: breadth-first search and depth-first search

  • shortest path algorithms

  • Dijkstra's algorithm

  • Bellman-Ford algorithm

Chapter 6: Substring Search Algorithms

  • the most relevant substring search algorithms

  • naive substring search

  • Knuth-Morris-Pratt (KMP) substring search algorithm

  • Rabin-Karp algorithm

  • Z algorithm (linear pattern matching)

Chapter 7: Sorting

  • stable sorting and adaptive sorting

  • comparison based and non-comparison based sorting algorithms

  • string sorting

  • bubble sort

  • selection sort and insertion sort

  • quicksort

  • merge sort

  • counting sort and radix sort

These are the topics we are going to consider on a one by one basis. After every topic there is a Q&A section where you can test your knowledge on the given topics. Thanks for joining my course, let's get started!

Taught by

Holczer Balazs

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