(Dsa) Sppu It Data Struct & Algo + Free Prerequisite Video

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(Dsa)_Sppu_It_Data Struct & Algo + Free Prerequisite Video
Published 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 24.04 GB | Duration: 18h 57m

One Stop Learning destination for Data Structure students



What you'll learn
SPPU IT branch students who wanted to score good marks in exam without wasting time in searching concepts on internet
Third year and FInal year students to preparing for placement (As data structure plays important role in placement)
Students preparing for GATE to understand data structure concept in detail
Anyone who wants to professional programming (Data structure is a heart of programming)


Requirements
All prerequisite videos are available for this course for free


Description
Hi,Data Structure is a heart of programming, That's why all product development company focus on data structure and in almost all technical interview data structure plays very important role.In this course we will start with prerequisite of data structure and then slowly we will move from basic to advance level data structure.This Course is Mapped to SPPU 2019 Pattern Syllabus. Every Data structures is explained thoroughly concerning following points: ConceptsExamples Algorithms Logic CodesAnalysisThis course will be helpful throughout you programming journey, even after you placed in good company.This course covers each topic in greater details, every topic is covered on Whiteboard which will improve your Problem Solving and Analytical Skills. Every Data Structure is discussed, analyzed and implemented with a Practical line-by-line coding.Many developers who are "self taught", feel that one of the main disadvantages they face compared to college educated graduates in computer science is the fact that they don't have knowledge about algorithms, data structures and the notorious Big-O Notation. Get on the same level as someone with computer science degree by learning the fundamental building blocks of computer science which will give you a big boost during interviews. What Will You Get ?To study data structures and their implementations and applications.To learn different searching and sorting techniques.To study some advanced data structures such as stack, Queue, Trees, Graphs, Tables, etc.To learn algorithm development and analysis of algorithms.On completion of the course, you will be able to Perform basic analysis of algorithms with respect to time and space complexity.Select appropriate searching and/or sorting techniques in the application development.Implement abstract data type (ADT) and data structures for given application.Apply implement learned algorithm design techniques and data structures to solve problems.Design different hashing functions

Overview
Section 1: Free Prerequisite Videos (C++ Basics)

Lecture 1 Variables Concept

Lecture 2 Varable-Facts

Lecture 3 How to get and format output in C++

Lecture 4 How to take input in C++

Lecture 5 Interesting Facts and Common Errors while taking Input in C++

Lecture 6 Operators in C++

Lecture 7 If-Else concept in C++ (Conditional Decision Control Statement)

Lecture 8 Interesting Facts and Important Things to Know about If- else Statement

Lecture 9 If else Practice Problems

Lecture 10 Loops Concepts and its Use in C++

Lecture 11 Loops Practice Problems

Lecture 12 Nested Loops in C++

Lecture 13 Switch Case in C++

Lecture 14 Introduction to Functions

Lecture 15 Function Importance with Code and Real world Example

Lecture 16 Function with Reference variable C++

Lecture 17 How to code Menu Driven Program?

Lecture 18 Class Concept in C++ 22:40

Section 2: Data Structure Classification

Lecture 19 Data Structure

Section 3: Unit 1 - Arrays

Lecture 20 Introduction

Lecture 21 Array as an ADT

Lecture 22 Multi dimentional Arrays

Lecture 23 Address Calculation

Section 4: Unit 1- Data Structure Classification

Lecture 24 Types of Data Strcutures

Section 5: Unit 1 - Analysis of Complexity

Lecture 25 Asymptotic Notations

Lecture 26 Step Count Method

Lecture 27 Programming Constructs

Section 6: Unit 1 - Pointers

Lecture 28 Pointers part 1

Lecture 29 Pointers part 2

Section 7: Unit 1 - Linked List

Lecture 30 SLL - Creation and display

Lecture 31 SLL - Insertion

Lecture 32 SLL - Search and Update

Lecture 33 Doubly linked list - create and display

Lecture 34 Dll insertion and deletion

Lecture 35 Circular Linked List

Section 8: Unit 2 - Searching

Lecture 36 Linear Search

Lecture 37 Sentinel Search

Lecture 38 Binary Search

Section 9: Unit 2 - Sorting

Lecture 39 Bubble sort - Theory and Examples

Lecture 40 Bubble Sort Code and Analysis

Lecture 41 Selection Sort - Theory and Examples

Lecture 42 Insertion Sort - Theory and Examples

Lecture 43 Insertion Sort - Code and Analysis

Lecture 44 Quick Sort - Theory and Examples

Lecture 45 Quick Sort - Code and Analysis

Lecture 46 Merge Sort - Theory and Examples

Lecture 47 Merge Sort - Code and Analysis

Lecture 48 Selection Sort - Code and Analysis

Lecture 49 Shell Sort

Lecture 50 Bucket Sort

Lecture 51 Radix Sort

Lecture 52 Counting Sort

Section 10: Unit 3 - Stack

Lecture 53 Stack implementation using Arrays

Lecture 54 Stack implementation using Linked List

Lecture 55 Stack ADT - Practical way

Lecture 56 Expression conversions using stack

Section 11: Unit 3 - Queue

Lecture 57 Queue Implementation using Array

Lecture 58 Queue Implementation using Linked List

Lecture 59 Circular Queue

Lecture 60 DeQueue - Double Ended Queue

Lecture 61 Priority Queue

Section 12: Unit 4 - Trees

Lecture 62 Tree Traversing Techniques

Lecture 63 Preorder - recursive

Lecture 64 Preorder - Non recursive

Lecture 65 Inorder and Postorder

Lecture 66 Tree creation using infix,prefix,postfix Expressions

Lecture 67 Binary Search Tree

Lecture 68 Expression Tree

Lecture 69 Threaded binary tree Creation and Insertion

Lecture 70 Threaded binary tree Insertion and Deletion

Section 13: Unit 5 - Graphs

Lecture 71 Breadth First Search (BFS)

Lecture 72 Depth First Search (DFS)

Lecture 73 Minimum Spanning Tree (MST) - Prims and Kruskal algorithms

Lecture 74 Floyd Warshall Algorithm

Lecture 75 Dijiktras Algorithm

Lecture 76 Topological Sort

Section 14: Unit 5 - Symbol Tables

Lecture 77 OBST prerequisites

Lecture 78 OBST examples

Lecture 79 AVL tree Creation and Insertion

Lecture 80 AVL tree Deletion

Lecture 81 Heap Data Structure

Section 15: Unit 6 - Hashing

Lecture 82 Key to address translation techniques

Lecture 83 Collision resolution techniques

This Course is Mapped to SPPU 2019 Pattern Syllabus. Every Data structures is explained thoroughly concerning following points:,1. Concept,2. Examples,3. Algorithm,4. Logic,5. Code,6. Analysis


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