## FDS CSE SPPU Sem3 Data StructureFree Prerequisite Video

### What you’ll learn

SPPU Computer 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 toâ€“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 to understand C++ programming.

Lecture 1 Variables Concept

Lecture 2 Varable-Facts

Lecture 3 How to take input in C++

Lecture 4 Interesting Facts and Common Errors while taking Input in C++

Lecture 5 Operators in C++

Lecture 6 If-Else concept in C++ (Conditional Decision Control Statement)

Lecture 7 Interesting Facts and Important Things to Know about If- else

Lecture 8 If else Practice Problems

Lecture 9 Loops Concepts and its Use in C++

Lecture 10 Loops Practice Problems

Lecture 11 Nested Loops in C++

Lecture 12 Switch Case in C++

Lecture 13 Introduction to Functions

Lecture 14 Function with Reference variable C++

Lecture 15 Class Concept in C++

Section 2: Course Introduction

Lecture 16 Course overview

Section 3: Unit 1 – Introduction to Algorithm and Data Structures

Lecture 17 Algorithms Introduction

Lecture 18 Asymptotic Notations

Lecture 19 Step Count Method

Lecture 20 Programming Constructs

Lecture 21 Types of Data Structures

Section 4: Unit 2: Arrays

Lecture 22 Introduction

Lecture 23 Array as an ADT

Lecture 24 Multi dimentional Arrays

Lecture 25 Address Calculation

Section 5: Unit – 2 Single Variable Polynomial

Lecture 26 Introduction

Lecture 27 Polynomial Addition

Lecture 28 Polynomial Multiplication

Section 6: Unit 2 – Sparse Matrix

Lecture 29 Introduction

Lecture 30 Simple transpose

Lecture 31 Fast transpose

Lecture 32 Sparse Matrix Addition – Theopry and examples

Lecture 33 Sparse Matrix Addition – Code

Lecture 34 Sparse Matrix Fast Transpose Code

Section 7: Unit 3 – Searching

Lecture 35 Linear Search

Lecture 36 Sentinel Search

Lecture 37 Binary Search

Lecture 38 Index Sequential Search – Theory and examples

Lecture 39 Index Sequential Search – Code and Analysis

Lecture 40 Fibonnaci Search

Section 8: Unit 3 Prerequisite (Recursion)

Lecture 41 Recursion Introduction

Section 9: Unit 3 – Sorting

Lecture 42 Bubble sort – Theory and Examples

Lecture 43 Bubble Sort Code and Analysis

Lecture 44 Selection Sort – Theory and Examples

Lecture 45 Selection Sort – Code and Analysis

Lecture 46 Insertion Sort – Theory and Examples

Lecture 47 Insertion Sort – Code and Analysis

Lecture 48 Quick Sort – Theory and Examples

Lecture 49 Quick Sort – Code and Analysis

Lecture 50 Merge Sort – Theory and Examples

Lecture 51 Merge Sort – Code and Analysis

Lecture 52 Shell Sort

Lecture 53 Bucket Sort

Lecture 54 Radix Sort

Lecture 55 Counting Sort

Section 10: UNIT 4 Pointers (Pre-requisite)

Lecture 56 Pointers – Part 1

Lecture 57 Pointers part 2

Section 11: Unit 4 – Linked List

Lecture 58 Singly Linked List – Creation and display

Lecture 59 Singly Link List – Insertion

Lecture 60 Singly Linked List – Seach and Update

Lecture 61 SLL – Deletion

Lecture 62 Doubly Linked List – Create and Display

Lecture 63 Doubly Linked List – insertion and deletion

Lecture 64 Circular Linked List

Section 12: Unit 5 – Stack

Lecture 65 Stack implementation using Arrays

Lecture 66 Stack implementation using Linked List

Lecture 67 Stack ADT – Practical way

Lecture 68 Expression conversions using stack

Lecture 69 Expression evaluation using stack

Section 13: Unit 6 – Queue

Lecture 70 Queue Implementation using Array

Lecture 71 Queue Implementation using Linked List

Lecture 72 Circular Queue

Lecture 73 DeQueue – Double Ended Queue

Lecture 74 Priority Queue

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

#### Course Information:

Udemy | English | 16h 22m | 20.60 GB

Created by: Tulsidas Patil

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