Try it on your own notes — free
Upload a lecture or paste your notes and watch The Study Mill build a full study session in about a minute.
Get started free →Data structures, algorithms and theory — quizzed until they are yours. Upload your own lectures and notes and Milli turns them into computer science flashcards, quizzes and lessons in about 60 seconds.
Computer science degrees are full of theory that is easy to postpone: complexity, operating systems, networks and discrete maths. The Study Mill turns your own lecture slides and notes into flashcards and quizzes on exactly that theory — so the concepts are locked in well before the exam, not crammed the night before.
The assignments are code and the exam is not. Almost every CS student discovers this too late — you can ship a working project and still fail to explain why your data structure was the right one.
Given an algorithm or a snippet, state and justify its time and space complexity. Justification carries the marks; the Big-O alone usually does not.
Hand-execute a sort, a traversal or a page-replacement policy and show the state at each step. Pure practice — nobody reasons this out cold.
Two valid approaches, and you argue which fits a stated constraint. The mark is in naming the trade-off, not in picking a favourite.
The Study Mill generates questions in these formats from your own material — so practice looks like the exam, not like a glossary.
Two examples of what comes back after you upload a set of computer science slides. Generated from your material, phrased the way your course tests it.
Why is quicksort O(n log n) on average but O(n²) in the worst case?
Each partition costs O(n). With balanced partitions the array halves each time, giving log n levels — hence n log n. If the pivot is consistently extreme (classically, a first-element pivot on already-sorted input) each partition removes only one element, producing n levels of O(n) work. Randomised or median-of-three pivots make the worst case vanishingly unlikely.
For a hash table with a good hash function, what are the average and worst-case lookup complexities, and what causes the gap?
O(1) average, O(n) worst case. The average assumes keys distribute roughly evenly across buckets. In the worst case every key collides into one bucket, and lookup degenerates to a linear scan of that chain — which is why hash quality and load factor matter more than table size.
Drop in any of these and get an instant study session — or bring your own.
CS exams test concepts and complexity, not just whether your code runs — and that theory is easy to skip until it is too late.
Step through a sort or search on paper — it cements the logic far better than reading it.
For every algorithm, know its Big-O and why; exams love that comparison.
Tie each concept to something you have actually built and it stops feeling abstract.
"Turned three weeks of algorithms lectures into flashcards and practice questions. Aced the theory section for once."
It is most useful for the part of your degree that is not coding — which is usually the part that decides your grade. Complexity, operating systems, networks and discrete maths are examined on paper, and they are the topics students defer until the week before. Upload the lecture slides and you can keep them ticking over from week one.
Yes. Learn cards give a plain-language explanation with an analogy for each concept, which works well for things like recursion, hashing and paging where the mental model is the hard part and the definition is trivial once you have it.
It handles definitions, theorem conditions and worked examples well, and it will generate practice questions from your problem sheets. Writing proofs is still something you should do by hand — but knowing which technique to reach for is a flashcard-shaped problem, and that is where most people are stuck.
The complexity and data-structure material overlaps almost completely with interview preparation, so the same deck serves both. What it will not do is replace writing code against a timer — pair it with a problem site for that.
Upload a lecture or paste your notes and watch The Study Mill build a full study session in about a minute.
Get started free →