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---
title: "On Teaching Algorithms: Lessons from a Decade"
description: "Reflections on what works (and what doesn't) in computer science education."
pubDate: "Jan 10 2024"
image: "https://images.unsplash.com/photo-1509062522246-3755977927d7?w=400&auto=format&fit=crop&q=60"
authorImage: "/avatar/avatar1.png"
authorName: "Neeldhara"
---
# On Teaching Algorithms: Lessons from a Decade
Ten years of teaching has taught me more than any textbook could.
## Start with Why
Students don't care about O(n log n) until they understand why their code is slow. Real problems first, theory second.
## The Power of Visualization
Abstract concepts become concrete when visualized. Every algorithm should have a picture.
## Failure is a Feature
Let students struggle. The struggle is where learning happens. But know when to throw a lifeline.
## Assessment Philosophy
Test understanding, not memorization. Open-book exams with novel problems beat closed-book regurgitation every time.
## The Joy of "Aha!" Moments
There's no feeling quite like seeing a student's eyes light up when a concept clicks. That's why we do this.