Algorithms, Part II

Where algorithms get real

This is the back half of a two-course sequence built for programmers who already know their way around a codebase and want to think more rigorously about performance. Rather than treating algorithms as trivia, the course grounds every idea in working Java implementations and asks you to reason about how they behave at scale.

What you'll actually work with

• Graph algorithms — the machinery behind route-finding, network analysis, and connectivity problems
• String-processing algorithms, from searching to data compression
• Scientific performance analysis — measuring and predicting how code scales

With over 347,000 learners already through it, this intermediate-level course rewards people who've done some programming already; it's less a first introduction to coding and more a way to sharpen the computer-science fundamentals underneath the code you already write. If graph theory and theoretical computer science sound abstract, expect that to change fast.