DATA STRUCTURE I U-1 Part-1 I Introduction + Arrays I ONE SHOT I By Dr. Nidhi Parashar Ma'am
Welcome to Gateway Classes and data structure course introduction overview • Classification of primitive and non-primitive data structures in programming • Unde
Video Chapters
- 0:00 Welcome to Gateway Classes and data structure course introduction overview
- 2:10 Classification of primitive and non-primitive data structures in programming
- 5:17 Understanding the fundamental definitions of data and structures clearly
- 13:08 Exploring elementary data organization and important basic terminology concepts
- 14:47 Understanding Linear Data Structures And Their Basic Sequential Properties
- 16:49 Introduction To Arrays And Memory Locations In Programming Languages
- 18:57 Dynamic Memory Allocation In Linked Lists Compared To Arrays
- 22:58 Exploring Non Linear Data Structures Like Trees And Graphs
- 27:01 Differences Between Static And Dynamic Data Structures In Detail
- 29:39 Understanding Data Structure Types And Choosing The Right Architecture
- 31:58 Exploring Basic Data Structure Operations And Problem Solving Strategies
- 34:39 Important Characteristics And Performance Goals Of Data Structures
- 36:20 Introduction To Algorithms And Their Core Characteristics Explained
- 39:16 Different Types Of Algorithms Including Sequential Iterative And Recursive
- 42:07 Analyzing Time And Space Complexity Using Asymptotic Notations
- 44:09 Calculating Complexity With Frequency Count Method And Examples
- 44:36 Understanding Time And Space Trade Off Examples In Algorithms
- 46:39 Exploring Loop Unrolling And Smaller Code Optimization Strategies
- 48:39 Lookup Tables Versus Recalculation In Time Space Optimization
- 51:52 Introduction To Asymptotic Growth And Dominant Terms Analysis
- 54:53 Ranking Typical Bounds In Increasing Order Of Growth Rate
- 58:33 Linear Search Algorithm Best Worst And Average Case Analysis
- 59:29 Understanding worst case analysis and algorithm time complexity definitions
- 1:00:23 Introduction to asymptotic notation and mathematical representation of complexities
- 1:02:58 Detailed explanation of Big O notation and upper bounds
- 1:07:15 Exploring Big Omega notation for lower bounds and best cases
- 1:08:00 Theta notation providing average bounds for time complexity analysis
- 1:10:41 Introduction to abstract data types and implementation independent views
- 1:12:33 Stack operations and managing fixed size data structures
- 1:17:11 Understanding One Dimensional Linear Arrays and Basic Definitions Explained
- 1:22:12 Calculating Memory Addresses in One Dimensional Arrays With Examples
- 1:24:52 Solving Array Length and Bound Problems Using General Formulas
- 1:27:34 Performing Array Traversal Operations and Implementing Algorithms in Code
- 1:29:10 Understanding Basic Operations And Merit Demerits Of Linear Arrays
- 1:33:12 Detailed Explanation Of Algorithm For Insertion Into An Array
- 1:40:59 Step By Step Algorithm For Deleting Elements From Arrays
- 1:43:58 Exploring the essential advantages and disadvantages of using arrays
- 1:43:59 Complete C Program Implementation For Deleting Elements From Arrays
- 1:46:44 Understanding multidimensional arrays and their various practical functions
- 1:48:03 Analyzing two dimensional arrays from a memory perspective
- 1:48:53 Step by step address calculation using row major order
- 1:50:33 Working with lower and upper bounds in array indexing
- 1:54:27 Calculating effective indices and addresses for multidimensional arrays
- 1:59:58 Understanding Row Major And Column Major Formula Calculations For Arrays
- 2:03:06 Matrix Multiplication Algorithm Time Complexity In The First Year
- 2:04:42 Introduction And Representation Of Three Dimensional Arrays In Memory
- 2:10:00 Calculating Specific Element Addresses In Three Dimensional Arrays Efficiently
- 2:13:30 Solving Multidimensional Array Address Problems With Lower And Upper Bounds
- 2:13:52 Calculating row major and column major array addressing formulas
- 2:15:04 Solving repeated multidimensional array dimension and element count questions
- 2:18:02 Understanding sparse matrices and their space efficient memory representation
- 2:22:20 Introduction to linked lists for the next unit lecture