Big-O Notation For Coding Interviews and Beyond

Beginner

47 Lessons

10h

Certificate of Completion

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

15 Playgrounds

12 Quizzes

This course includes

15 Playgrounds

12 Quizzes

Course Overview

This course is intended for professionals that lack formal education in computer science, and that are in search of a simple and practical guide to algorithmic complexity. The course explains the concepts in layman's terms, and teaches how to reason about the complexity of algorithms without requiring one to have an extensive mathematical skillset. This course can also be handy for revising complexity concepts or Big-O analysis before interviews. Finally, the content also scratches the surface of some advan...Show More

Course Content

Basics

Introduction Need for Speed Analyzing Algorithms

Analyzing Algorithms Part II Analyzing Algorithms Part III

Problem Set 1

Formal Analysis Tools

Functions and Their Growth Theta Notation Big O and Big Omega Notations Small omega and Small o Notations Problem Set 2 Solution Set 2

Recursive

Recurrence Recurrence Part II Binary Search - Recursive Implementation

Permutations Dynamic Programming Top Down and Bottom Up Approaches Problem Set 3 Solution Set 3

Data-Structures

Array Linked List Hash Table Doubly Linked List Stacks and Queues Tree Structures Problem Set 4 Solution Set 4 Priority Expiry Cache Problem

Amortized Analysis

Cost Over Sequence of Operations Dynamic Array Fancy Stack Problem Set 5 Solution Set 5

Probabilistic Analysis

5 Lessons

Complexity Theory

6 Lessons

The End

2 Lessons

Course Author

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