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
| 👉 Lesson 1 | Greedy Algorithm — Greedy Method & Approach with Examples |
| 👉 Lesson 2 | Circular Linked List — Advantages with C Program Example |
| 👉 Lesson 3 | Array in Data Structures — What is, Concept, Insert/Delete Operations |
Advanced Stuff
| 👉 Lesson 1 | B TREE in Data Structure — Search, Insert, Delete Operation Example |
| 👉 Lesson 2 | B+ TREE — Search, Insert and Delete Operations Example |
| 👉 Lesson 3 | Breadth First Search Algorithm — Learn with Example |
| 👉 Lesson 4 | Binary Search Tree — Learn with Example |
| 👉 Lesson 5 | Binary Search Algorithm — Learn with Example |
| 👉 Lesson 6 | Linear Search — Linear Search: Python, C++ Example |
| 👉 Lesson 7 | Bubble Sort Algorithm — Learn with Python using List Example |
| 👉 Lesson 8 | Selection Sort — Algorithm explained with Python Code Example |
| 👉 Lesson 9 | Heap Sort Algorithm — C++, Python Examples |
| 👉 Lesson 10 | Hash Table in Data Structure — Learn with Python Example |
| 👉 Lesson 11 | Tree Traversals — Tree Traversals (Inorder, Preorder, Postorder): C, Python, C++ Examples |
| 👉 Lesson 12 | Binary Tree — Binary Tree in Data Structure (EXAMPLE) |
| 👉 Lesson 13 | Combination Algorithm — Print all possible combinations of R | C,C++,Python Example |
| 👉 Lesson 14 | Longest Common Subsequence — Longest Common Subsequence: Python, C++ Example |
| 👉 Lesson 15 | Dijsktra’s Algorithm — Dijsktra’s Algorithm: C++, Python Code Example |
| 👉 Lesson 16 | Kadence’s Algorithm — Kadence’s Algorithm: Largest Sum Contiguous Subarray |
| 👉 Lesson 17 | Radix Sort Algorithm — Radix Sort Algorithm: C++, Python Examples |
| 👉 Lesson 18 | Doubly Linked List — Doubly Linked List: C++, Python Example |
| 👉 Lesson 19 | Singly Linked List — Singly Linked List: C++, Python Example |
| 👉 Lesson 20 | Prime Factor Algorithm — C, Python Example |
| 👉 Lesson 21 | Topological Sort — Python, C++ Algorithm Example |
| 👉 Lesson 22 | Types of Graphs — Types of Graphs with Examples |
| 👉 Lesson 23 | Graph Data Structure — Graph Data Structure & Algorithms |
| 👉 Lesson 24 | Adjacency List — Adjacency List and Matrix Representation of Graph |
| 👉 Lesson 25 | Tower of Hanoi — Tower of Hanoi Algorithm: Python, C++ Code |
Must Know!
| 👉 Lesson 1 | BFS vs DFS — What’s the Difference? |
| 👉 Lesson 2 | AVL Trees — Rotations, Insertion, Deletion with C++ Example |
| 👉 Lesson 3 | Best Algorithm Interview Questions — Top 18 Algorithm Interview Q & A |
| 👉 Lesson 4 | DAA Tutorial PDF — 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.
