Month 4 · Week 13 of 40

Big O Notation & Array Algorithms

Analyze the efficiency of your code mathematically.

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Week Overview

Step into theoretical computer science. Learn how to quantify algorithm performance with Big O notation and build your own dynamic array from scratch.

Core Concepts & Topics

Big O, Big Omega, Big Theta Notation
Time vs Space Complexity Trade-offs
Amortized Analysis of Dynamic Array Growth
Array Rotation, Prefix Sums & Two Pointers
In-Place Array Reversal
Hands-On Challenge

Week 13 Project: High-performance resizable array structure with amortized O(1) appends.

Every week at DoxaTech Hub requires submitting real working code tested by our automated grading suite. You will push code to your personal GitHub repository, open pull requests, and receive instant feedback.

Frequently Asked Questions

What is amortized analysis?

Amortized analysis averages the running time of a sequence of operations over time, proving that occasional expensive operations (like doubling an array) do not ruin overall efficiency.

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Week 12: Dynamic Memory Allocation & Valgrind
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Week 14: Singly & Doubly Linked Lists
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Month 4 Modules

This week is part of Data Structures & Algorithms.

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