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Computer Science
3 credits

UNC COMP 210: Data Structures and Analysis

COMP 210 teaches how data structures are actually built: lists, stacks, queues, trees, and hash tables, along with recursion and runtime analysis. It's the centerpiece of the CS major application at UNC, so the grade carries admission stakes on top of the content.

Fennie is independent and not affiliated with UNC Chapel Hill. This is an unofficial study guide.

What makes it hard

The shift from using structures to building them is the wall: linked structures and recursion require reasoning about references abstractly, where trial-and-error coding stops working. Because the CS major is application-based, the course also carries unusual grade pressure. The room is full of students who all need to do well, and the pace assumes COMP 110 fluency from day one.

What you'll cover

  • • Linked lists and references
  • • Stacks and queues
  • • Recursion
  • • Trees and binary search trees
  • • Hash tables
  • • Big-O runtime analysis

The COMP 210 study guide

How to study for UNC COMP 210, step by step.

  1. 1

    Arrive with COMP 110 genuinely fluent

    Functions, lists, dictionaries, and objects are assumed working vocabulary from the first week. If any of it is shaky, rehab it immediately. COMP 210 will not slow down, and the major application is watching.

  2. 2

    Draw every linked-structure operation

    For each insert, delete, and traversal, diagram what every reference points to before and after. Exams test this by hand, and the drawing habit is the difference between reasoning and guessing.

  3. 3

    Think inductively about recursion

    Trust the recursive call to handle the smaller case while you verify one frame. Students who trace every call of every example burn out. The inductive mental model is the actual breakthrough.

  4. 4

    Attach Big-O to everything you build

    Note each operation's runtime as you implement it and be ready to justify it. Analysis questions are fixed exam material and the 'Analysis' in the course title is graded accordingly.

  5. 5

    Start assignments the day they release

    Debugging reference bugs and recursion takes calendar days. In a course where the major application rides on the outcome, deadline coding is an unforced error.

Today's COMP 210 plan

Sample
65 min

What a Fennie Daily Plan looks like for COMP 210. Yours is built from your syllabus and adapts every day to your deadlines and progress.

  • Review: Big-O runtime analysisReview · 25 min

    Work back through the COMP 210 material on big-o runtime analysis. In the app, Fennie builds this from your own notes and syllabus.

  • Practice: Linked lists and referencesPractice · 20 min

    Targeted problems on linked lists and references, the kind COMP 210 actually tests.

  • Quick quiz: Stacks and queuesQuiz · 10 min

    Five generated questions to expose weak spots on stacks and queues before the exam does.

  • Preview: RecursionPreview · 10 min

    A first pass over recursion so the next session starts from familiar ground.

Get my real COMP 210 plan free

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

FAQ

Is COMP 210 at UNC hard?

It's the course where CS gets real: building structures instead of using them, recursion that defeats trial-and-error, and runtime analysis throughout, with major-application stakes on the grade. Students who draw diagrams and start assignments early get through; pattern-matchers get exposed.

What grade do I need in COMP 210 for the CS major?

The major application requires COMP 210 and a discrete structures course, with admission decisions weighing performance in them. Required minimums and selectivity shift, so check the CS department's current admissions page, and treat the course as one where every letter grade matters.

How do I prepare for COMP 210?

Make COMP 110 material genuinely fluent (especially functions, objects, and basic recursion) before the semester starts. During the course, diagram every linked-structure operation, practice recursion until the inductive mindset clicks, and start assignments the day of release.

More UNC courses

COMP 110: Introduction to Programming and Data Science

COMP 110 is UNC's Python-based introduction to programming, framed around data science ideas, and the first course toward the CS major and minor. It assumes no prior experience and covers control flow, functions, lists and dictionaries, object basics, and working with data.

COMP 211: Systems Fundamentals

COMP 211 takes UNC CS students below Python: data representation, C programming, pointers and memory management, processes, and the Unix command line. It builds a working model of how programs actually execute, and with COMP 210 it forms the core that upper-level courses assume.

COMP 283: Discrete Structures

COMP 283 is the CS department's discrete math course, covering logic, proof techniques, induction, sets, relations, counting, and graph basics. It's one of the courses (alongside COMP 210) required to apply to the CS major, and most students' first proof-based course.

COMP 301: Foundations of Programming

COMP 301 teaches UNC CS students to structure and organize larger programs: object-oriented design in Java, interfaces, inheritance, design patterns, and testing. It's the bridge from writing code that works to writing code that's built well, and it follows COMP 210 in the core sequence.