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CU Boulder
Computer Science
4 credits

CU Boulder CSCI 2270: Computer Science 2: Data Structures

CSCI 2270 is the second course in CU Boulder's CS core — linked lists, stacks, queues, binary search trees, hash tables, and graphs, implemented in C++ with pointers and manual memory management. It's the course Boulder CS students most often name as the major's first real filter.

Fennie is independent and not affiliated with University of Colorado Boulder. This is an unofficial study guide.

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What makes it hard

Pointers are the wall: every structure is built from raw memory references, so segfaults and memory bugs replace the friendly errors of CSCI 1300. The assignments are long, exams require implementing and tracing structures by hand, and students who pattern-matched their way through 1300 hit the gap between copying code and reasoning about it.

What you'll cover

  • • Pointers and dynamic memory in C++
  • • Linked lists, stacks, and queues
  • • Binary search trees
  • • Hash tables
  • • Graphs and graph traversal
  • • Big-O and runtime analysis

The CSCI 2270 study guide

How to study for CU Boulder CSCI 2270, step by step.

  1. 1

    Get genuinely comfortable with pointers first

    Every structure in CSCI 2270 is raw memory and references. Spend the first two weeks drawing what each pointer points to until dereferencing and reassignment feel mechanical, not mystical.

  2. 2

    Diagram every operation before coding it

    For each insert, delete, and traversal, sketch the before-and-after state of every pointer. The students who debug fastest are the ones who can see the structure — and exams test exactly that by hand.

  3. 3

    Start assignments the day of release

    Segfaults don't yield to heroic all-nighters; memory bugs take calendar days to find. The gap between early starters and deadline coders is wider here than anywhere else in the Boulder CS core.

  4. 4

    Attach a runtime to everything you write

    Note the Big-O of each method as you implement it and be ready to justify it. Runtime questions are dependable exam points for anyone who made the habit automatic.

  5. 5

    Trace structures on paper weekly

    Exams ask you to run BST inserts, hash collisions, and graph traversals by hand. Paper tracing is a separate skill from coding and it only develops if you practice it as one.

  6. 6

    Space the hard topics with Fennie

    Upload your CSCI 2270 syllabus and Fennie's Daily Plan spreads pointer and tree practice across weeks, schedules assignments early by design, and quizzes you from the actual course content. Free to start.

    Start my CSCI 2270 plan free

How Fennie helps with CSCI 2270

Fennie's Daily Plans give CSCI 2270's hard topics the spaced runway they need — pointer practice across weeks, assignments scheduled to start the day they release. Chat traces what each pointer points to step by step until you can run the structure in your head, which is precisely the skill the exams isolate.

FAQ

Is CSCI 2270 at CU Boulder hard?

It's widely called the filter course of the Boulder CS major. Pointers, manual memory, and hand-implemented structures demand reasoning that trial-and-error coding can't fake. Students who start assignments early and practice tracing on paper get through reliably.

How do I prepare for CSCI 2270?

Enter with CSCI 1300 material genuinely solid, then make pointers your first priority: draw diagrams for every operation on every structure. Visual tracing is the skill the course actually builds, and exams test it without a compiler.

Why do students fail CSCI 2270?

Mostly late assignment starts and pointer avoidance. Memory bugs take days to find, and students who never built a mental model of references end up changing code at random. Early starts and weekly paper tracing fix both.

Pass CSCI 2270 with a plan, not a cram

Upload your CSCI 2270 materials and Fennie generates a Daily Plan paced to your deadline — plus chat, flashcards, and quizzes built from the actual course content.

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More CU Boulder courses

CSCI 1300 — Computer Science 1: Starting Computing

CSCI 1300 is CU Boulder's first programming course for CS majors and minors, taught in C++ — variables, control flow, functions, arrays, and intro object concepts — with weekly recitations and a project-heavy assignment load. It's the gate into the rest of the CSCI core.

CSCI 2824 — Discrete Structures

CSCI 2824 is CU Boulder's discrete math course for CS majors — logic, proof techniques, set theory, induction, counting, and graph theory. It's most students' first encounter with writing mathematical proofs, and it underpins the algorithms course that follows.

CSCI 2400 — Computer Systems

CSCI 2400 takes CU Boulder CS students below the language level — data representation, C and assembly, the memory hierarchy, and how programs actually execute — built around a famous sequence of hands-on labs including the bomb lab, where you defuse a binary by reading its assembly.

CSCI 3104 — Algorithms

CSCI 3104 is CU Boulder's algorithms course — design paradigms like divide-and-conquer, greedy, and dynamic programming, plus graph algorithms and complexity analysis — sitting at the top of the CS core and assuming both CSCI 2270's structures and CSCI 2824's proofs.