Data Structures and Algorithmic Analysis

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About Course

Data Structures and Algorithmic Analysis

This course is aimed at any undergraduate students who are at beginner’s level in learning Data Structure and Algorithm, This course focus on the fundamental concepts of Data structure, its analysis, and analysis of algorithms.

Basic ADT’s Arrays, Linked Lists, Stacks, and Queue are discussed in detail. The course is not aimed at writing the pseudo-code for operations, rather on their work. Each one discussed with applications and their Pros and Cons.

Who this course is for:

  1. Beginners in learning Computer Science Subjects

What Will You Learn?

  • At the end of my course , the students will be able to analyse the performance of an algorithm design based on the appropriate data structures.
  • The students will be to choose the data structure and algorithm for a given problem based on the evaluation

Course Content

Data Structures and Algorithmic Analysis

  • Algorithms Course Introduction
    00:00
  • Algorithms Lecture 1 Part 1: Mathematical Preliminaries
    00:00
  • Algorithms Lecture 1 Part 2: Mathematical Preliminaries
    00:00
  • Algorithms Lecture 1 Part 3: Mathematical Preliminaries
    00:00
  • Algorithms Lecture 2 Part 1 Bubble Sort
    00:00
  • Algorithms Lecture 2 Part 1: Insertion Sort
    00:00
  • Algorithms Lecture 2 Part 2: Merge Sort
    00:00
  • Algorithms Lecture 2 Part 2: Merge Sort Complexity Analysis
    00:00
  • Algorithms Lecture 2 Part 3: Quicksort
    00:00
  • Algorithms: Recurrences and the “Master Theorem” Part 1 – Fundamental Concepts
    00:00
  • Algorithms Lecture 3: Recurrences and the Master Theorem Part 2n
    00:00
  • Algorithms Lecture 3: Recurrences and the Master Theorem Part 3
    00:00
  • Binary Search Trees (BSTs): Part 1
    00:00
  • Binary Search Trees (BSTs): Part 2
    00:00
  • Binary Search Trees (BSTs): Part 3
    00:00

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