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JavaScript Algorithms

Session 1: Introduction & Big-O Notation
  • 1 - Introduction (03:52)
  • 2 - What is an Algorithm? (03:40)
  • 3 - Time and Space Complexity (04:21)
  • 4 - Big-O Notation (10:33)
  • 5 - Objects and Arrays Big-O (03:41)
Session 2: Math Algorithms
  • 6 - Math Algorithms (01:37)
  • 7 - Fibonacci Sequence (06:09)
  • 8 - Factorial of a Number (04:42)
  • 9 - Prime Number (07:31)
  • 10 - Power of Two (08:53)
  • 11 - Recursion (03:42)
  • 12 - Recursive Fibonacci Sequence (08:44)
Session 3: Search Algorithms
  • 13 - Recursive Factorial of a Number (06:45)
  • 14 - Search Algorithms (01:07)
  • 15 - Linear Search (05:20)
  • 16 - Binary Search (04:20)
  • 17 - Binary Search Solution (08:21)
  • 18 - Recursive Binary Search (08:54)
Session 4: Sorting Algorithms
  • 19 - Sorting Algorithms (01:37)
  • 20 - Bubble Sort (04:46)
  • 21 - Bubble Sort Solution (06:31)
  • 22 - Insertion Sort (05:47)
  • 23 - Insertion Sort Solution (06:42)
  • 24 - Quick Sort (04:16)
Session 5: Misc Algorithms & Problem Solving
  • 25 - Quick Sort Solution (05:34)
  • 26 - Merge Sort (06:25)
  • 27 - Merge Sort Solution (07:19)
  • 28 - Misc Problems (01:42)
  • 29 - Cartesian Product (01:58)
  • 30 - Cartesian Product Solution (04:02)
  • 31 - Climbing Staircase (03:09)
  • 32 - Climbing Staircase Solution (03:26)
  • 33 - Tower of Hanoi (03:26)
  • 34 - Tower of Hanoi Solution (06:59)
  • 35 - Further Learning (05:39)

1 - Introduction

This introductory JavaScript algorithms course covers fundamentals and practical applications. The curriculum includes algorithm performance measurement, Big O notation, and categorized algorithm examples. Prior modern JavaScript knowledge is recommended.

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