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Purdue
Computer Science
3 credits

Purdue CS 25100: Data Structures and Algorithms

CS 25100 is Purdue's data structures and algorithms course (lists, trees, heaps, hash tables, graphs, sorting, and algorithm analysis) and the most notorious course in the CS core. It gates the upper-division CS curriculum and its exams have a campus-wide reputation for difficulty.

Fennie is independent and not affiliated with Purdue University. This is an unofficial study guide.

What makes it hard

The folklore is earned: exams present unfamiliar problems requiring you to adapt or combine algorithms under time pressure, which is a fundamentally different skill from implementing known structures in homework. Projects are long, the pace is unforgiving, and the curve reflects a room of students who all survived CS 18000. The gap between 'I understand quicksort when explained' and 'I can analyze a variant cold' is the entire course.

What you'll cover

  • Algorithm analysis and Big-O
  • Lists, stacks, and queues
  • Trees and balanced search trees
  • Heaps and priority queues
  • Hash tables
  • Graphs and graph algorithms
  • Sorting algorithms

The CS 25100 study guide

How to study for Purdue CS 25100, step by step.

  1. 1

    Implement every structure from scratch once

    Using a hash table teaches you nothing the exam tests; building one does. For each structure, write a working implementation from a blank file, then explain to yourself why each operation has the runtime it does.

  2. 2

    Practice on problems you haven't seen

    CS 25100 exams adapt and combine algorithms in unfamiliar settings; that's the famous difficulty. Pull problems from past exams and external sources weekly, and prioritize anything that makes you think 'we never covered this exactly.'

  3. 3

    Attach a runtime argument to everything

    Don't just memorize that heapify is O(n); be able to argue it. Exams test justification, and the habit of proving runtimes to yourself is what converts memorized facts into adaptable understanding.

  4. 4

    Start projects the day they release

    The projects are long and debugging data structures takes calendar days. The students who suffer most in 25100 are deadline coders; the curve is built from early starters.

  5. 5

    Do a weekly mixed review of old structures

    Graph algorithms assume trees, heaps, and analysis fluently. A short weekly pass over earlier structures keeps the toolbox sharp, because exam problems reach backward without warning.

Today

Today's CS 25100 plan

Preview
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What a Fennie Daily Plan looks like for CS 25100. Yours is built from your own syllabus and adapts every day to your deadlines and progress.

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First plan free, no card required. Fennie is independent and unaffiliated with your school.

FAQ

Is CS 25100 the hardest class at Purdue?

It's the most commonly nominated within CS: exams test adapting algorithms to unfamiliar problems under time pressure, in a curved room of students who all survived the freshman gauntlet. It's beatable with consistent implementation practice and weekly exposure to novel problems, but not with any amount of cramming.

How do I prepare for CS 25100?

Enter with CS 18000-level coding fluency and CS 18200's induction and analysis genuinely solid. During the course, implement every structure from scratch, justify every runtime, and practice weekly on problems you haven't seen; the exams are built from exactly that kind of problem.

Why do people fail CS 25100?

Mostly by studying for recognition instead of production: understanding lectures, completing homework with reference to examples, then meeting exams that demand adapting algorithms cold. Late project starts compound it, since debugging data structures under deadline destroys the study schedule.

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