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.
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