Algorithms (Data Structures) Bootcamp in C++

Video Tutorials, Courses

Algorithms (Data Structures) Bootcamp in C++
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 149 lectures (17h 13m) | Size: 2.4 GB

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.


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

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

C++ fundamentals

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!

Intermediate C++ developers curious about algorithms and data structures




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