DAA Tutorial: Design and Analysis of Algorithms

DAA Tutorial Summary

This Design and Analysis of Algorithms Tutorial is designed for beginners with little or no coding experience. It covers algorithm Design and Analysis process concepts.

What is an Algorithm?

An Algorithm is a set of well-defined instructions designed to perform a specific set of tasks. Algorithms are used in Computer science to perform calculations, automatic reasoning, data processing, computations, and problem-solving. Designing an algorithm is important before writing the program code as the algorithm explains the logic even before the code is developed.

DAA Syllabus

Introduction

πŸ‘‰ Lesson 1 Greedy Algorithm β€” Greedy Method & Approach with Examples
πŸ‘‰ Lesson 2 Circular Linked List β€” Advantages with C Program Example
πŸ‘‰ Lesson 3 Array in Data Structures β€” What is, Concept, Insert/Delete Operations

Advanced Stuff

πŸ‘‰ Lesson 1 B TREE in Data Structure β€” Search, Insert, Delete Operation Example
πŸ‘‰ Lesson 2 B+ TREE β€” Search, Insert and Delete Operations Example
πŸ‘‰ Lesson 3 Breadth First Search Algorithm β€” Learn with Example
πŸ‘‰ Lesson 4 Binary Search Tree β€” Learn with Example
πŸ‘‰ Lesson 5 Binary Search Algorithm β€” Learn with Example
πŸ‘‰ Lesson 6 Linear Search β€” Linear Search: Python, C++ Example
πŸ‘‰ Lesson 7 Bubble Sort Algorithm β€” Learn with Python using List Example
πŸ‘‰ Lesson 8 Selection Sort β€” Algorithm explained with Python Code Example
πŸ‘‰ Lesson 9 Heap Sort Algorithm β€” C++, Python Examples
πŸ‘‰ Lesson 10 Hash Table in Data Structure β€” Learn with Python Example
πŸ‘‰ Lesson 11 Tree Traversals β€” Tree Traversals (Inorder, Preorder, Postorder): C, Python, C++ Examples
πŸ‘‰ Lesson 12 Binary Tree β€” Binary Tree in Data Structure (EXAMPLE)
πŸ‘‰ Lesson 13 Combination Algorithm β€” Print all possible combinations of R | C,C++,Python Example
πŸ‘‰ Lesson 14 Longest Common Subsequence β€” Longest Common Subsequence: Python, C++ Example
πŸ‘‰ Lesson 15 Dijsktra’s Algorithm β€” Dijsktra’s Algorithm: C++, Python Code Example
πŸ‘‰ Lesson 16 Kadence’s Algorithm β€” Kadence’s Algorithm: Largest Sum Contiguous Subarray
πŸ‘‰ Lesson 17 Radix Sort Algorithm β€” Radix Sort Algorithm: C++, Python Examples
πŸ‘‰ Lesson 18 Doubly Linked List β€” Doubly Linked List: C++, Python Example

Must Know!

πŸ‘‰ Lesson 1 BFS vs DFS β€” What’s the Difference?
πŸ‘‰ Lesson 2 AVL Trees β€” Rotations, Insertion, Deletion with C++ Example
πŸ‘‰ Lesson 3 Best Algorithm Interview Questions β€” Top 18 Algorithm Interview Q & A
πŸ‘‰ Lesson 4 DAA Tutorial PDF β€” Design and Analysis of Algorithms

Why Study Design and Analysis of Algorithm?

Design and Analysis of Algorithm help to design the algorithms for solving different types of problems in Computer Science. It also helps to design and analyze the logic on how the program will work before developing the actual code for a program.

Prerequisites for learning DAA Tutorial

For learning this DAA tutorial, you should know the basic programming and mathematics concepts and data structure concepts. The basic knowledge of algorithms will also help you learn and understand the DAA concepts easily and quickly.

What will you learn in this Design and Analysis of Algorithms Tutorial?

In this Design and Analysis of Algorithms tutorial, you will learn the basic concepts about DAA like the introduction to Algorithm, Greedy algorithm, linked list, and arrays in a data structure. You will also learn advanced concepts like Trees in a data structure, search algorithms, sorting algorithms, hash tables, and interview questions related to Algorithms.