UT Austin CS 314: Data Structures
CS 314 is UT's data structures course in Java — lists, stacks, queues, trees, hashing, graphs, and algorithm analysis — and the load-bearing course of the CS major. Everything upper-division assumes it, and its material is the substance of internship interview questions.
Fennie is independent and not affiliated with The University of Texas at Austin. This is an unofficial study guide.
Build my CS 314 study planWhat makes it hard
The programming assignments implement real structures with real test suites, and the workload is famously steady — there's essentially always an assignment live. Exams require hand-writing and analyzing code under time, including recursive methods over trees, which is a step beyond anything CS 312 demanded.
What you'll cover
- • Algorithm analysis and big-O
- • Linked lists, stacks, and queues
- • Recursion
- • Binary trees and binary search trees
- • Hash tables
- • Graphs and traversals
- • Sorting
The CS 314 study guide
How to study for UT Austin CS 314, step by step.
- 1
Start each assignment the day it releases
There is essentially always an assignment live in CS 314, and they're sized to take real time. Day-one starts are the single biggest predictor of a sane semester.
- 2
Write tree code by hand weekly
Exams demand hand-written recursive methods over trees under time. That's a trained skill — practice it on paper long before the midterm does it for you.
- 3
Explain big-O reasoning out loud
For every structure operation, say why the complexity holds. Verbal explanation exposes the gaps that silent review hides.
- 4
Protect exam review from the assignment stream
The steady workload will consume every available hour if you let it. A short daily review block keeps concepts warm between assignments.
- 5
Run both tracks through Fennie
Upload your CS 314 syllabus and Fennie's Daily Plan schedules the assignment stream alongside spaced exam review, generating hand-coding and analysis quizzes from your actual coursework. Free to start.
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How Fennie helps with CS 314
Fennie's Daily Plans schedule CS 314's continuous assignment stream alongside spaced exam review, so neither swallows the other. Chat through recursion traces and big-O reasoning until you can explain them cold, and drill generated hand-coding problems — writing tree methods on paper is exactly what the exams ask.
FAQ
Is CS 314 hard at UT Austin?
It's the CS major's defining workload course — substantial assignments on a relentless cadence, plus exams that demand hand-written code and analysis. It's very passable with steady weekly hours and unforgiving toward procrastination.
How much time does CS 314 take per week?
Plan for 10-15 hours including assignments, more in heavy weeks. The assignments are designed to take real time, and starting them the day they're released is the single biggest predictor of a sane semester.
Does CS 314 prepare me for coding interviews?
Directly — data structures, recursion, and complexity analysis are the core of technical interviews. Learning 314 deeply rather than minimally is the highest-leverage move a UT CS student makes before recruiting starts.
Pass CS 314 with a plan, not a cram
Upload your CS 314 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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CS 312 — Introduction to Programming
CS 312 is UT Austin's introductory programming course in Java, designed for students with little or no prior coding experience — variables, control flow, methods, arrays, and object basics. It's the entry point to the CS major's programming sequence ahead of CS 314.
CS 311 — Discrete Math for Computer Science
CS 311 is UT's discrete mathematics course for CS majors — logic, proof techniques, induction, sets, functions, combinatorics, and graph theory foundations. It builds the mathematical reasoning that the theory-side courses (algorithms, computability) stand on.
CS 303E — Elements of Computers and Programming
CS 303E is UT's introductory Python programming course for non-CS majors — the first course in the Elements of Computing program and one of the most popular programming credits on campus. It covers Python fundamentals, control flow, functions, and basic data structures, assuming no prior experience.
CS 313E — Elements of Software Design
CS 313E is the second course in UT's Elements of Computing sequence, covering object-oriented design in Python — classes, abstract data types, fundamental data structures and algorithms, and basic complexity analysis. It assumes programming at the CS 303E level.