A seven-day clock you can actually use
Seven days before an exam has a special kind of silence. It’s not the calm silence of confidence. It’s the quiet you hear when you open your notebook, see twenty scattered pages, and realize you’ve been “studying” IB Computer Science without truly preparing for how it’s marked.
Here’s the good news: one week can still move your grade. Not because you’ll learn everything, but because IB Computer Science is predictable in a way students rarely exploit. The exam doesn’t reward “coverage.” It rewards the ability to retrieve core ideas quickly, apply them cleanly, and write answers shaped like marks.
This last-minute guide is a plan for doing exactly that.

Quick start checklist (do this in 30 minutes)
Use this checklist before you start the seven-day push. It removes friction, which is the real enemy in a one-week sprint.
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Open the IB Computer Science hub and bookmark it: IB Computer Science Resources
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Decide your coding language track (Java or Python) and commit for the week
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Create a simple daily rhythm: 2 focused blocks (60--90 min) + 1 light block (20--30 min)
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Set up three tools you will loop repeatedly: Study Notes, Questionbank, Flashcards
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Start a one-page “mistake log” (today). Every error becomes a rule
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Remove distraction triggers: phone out of the room, website blockers, full-screen timer
If you want a fast overview of study materials you can use immediately, start with: IB Computer Science Notes.
Know what you are being assessed on (so you stop guessing)
Before planning the week, make sure your mental model matches the current reality of IB Computer Science assessment. For the updated structure (2025 onward), your focus is on Paper 1 and Paper 2, with the Internal Assessment (IA) typically already completed.
You can get a clean breakdown and strategy framing here: Mastering IB Computer Science Assessments.
The simplest last-minute rule:
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Paper 1 rewards algorithmic clarity (reading, tracing, writing code/pseudocode, problem-solving).
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Paper 2 rewards applied understanding (using theory inside a scenario, with explicit real-world links).
If you’re unsure what changed and what it means for revision priorities, review: What’s New in the IB Computer Science 2025 Syllabus?.
The 7-day IB Computer Science plan (high-yield, exam-shaped)
This plan assumes you can study 2--3 hours/day. If you can do more, don’t add random topics. Add review time and timed practice.
Day 1: Foundations that create easy marks
Your goal today is to make Paper 2 feel less foggy and Paper 1 feel less fragile.
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Study Notes sprint: system fundamentals, networks, computational thinking
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Build a definitions deck (or use one) and drill it twice
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Do 20--30 targeted Questionbank questions (untimed) and write 5 “error rules”
Use the platform flow: notes for clarity, then practice for proof. Start from the hub: IB Computer Science Resources.
Day 2: Paper 1 programming muscle
In IB Computer Science, programming marks appear when your logic is readable, not when your syntax is pretty.
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Drill data structures: arrays/lists, stacks, queues, linked lists (know what they are used for)
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Drill searching and sorting until you can write them without looking
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Do one timed Paper 1-style set (short) and review longer than you practiced
If you want a focused place to drill a common weakness quickly, try a dedicated Questionbank area like: Data Structures Questionbank.
Day 3: Paper 2 applied theory (the “explain with context” day)
Paper 2 is where students lose marks by being correct in general, but not correct inside the scenario.
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Review databases, OS concepts, networks, SDLC (fast, targeted)
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Write 6 short answers with strict command terms (define, outline, explain, evaluate)
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For each answer, add one real-world example sentence (cloud storage, authentication, packet switching, DB indexes)
A quick subtopic refresh that often unlocks marks: IB Computer Science A. Databases.
Day 4: IA memory refresh (yes, it still helps exams)
You’re not rewriting your IA. You’re using it as a ready-made case study in your head.
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Re-read the IA expectations and identify where marks come from: planning, testing, evaluation
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Practice writing “evaluation” paragraphs: criteria, evidence, limitation, improvement
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Do a Paper 2 set focused on SDLC and impact/trade-offs
If you feel behind on what top-level performance looks like, this is worth reading: Fastest Way to Improve from a 5 to a 7 in IB Computer Science.
Day 5: Mixed practice + mistake log upgrade
This is the day you stop confusing effort with progress.
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Sit a longer mixed set (Paper 1 style + Paper 2 style)
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Mark it carefully and categorize every lost mark into one of these:
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misunderstanding command term
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missing definition/keyword
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logic error in algorithm
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weak application to scenario
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time management
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Turn each category into a drill for Day 6
This is where RevisionDojo’s loop shines: Questionbank practice, then fast diagnosis with AI Chat, then a new Flashcards deck from your mistakes.

Day 6: Timed rehearsal (the confidence builder)
You don’t get calm by reading notes. You get calm by proving to your brain that you can finish.
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Sit a full Paper 2-style practice under timed conditions
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Review answers using markscheme logic: what would an examiner actually credit?
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Drill the two weakest subtopics immediately after
If you want an exam-like rehearsal that mirrors patterns, use: IB Computer Science Predicted Papers.
Day 7: Light review + precision (no new learning)
Today is about keeping your recall sharp and your decision-making clean.
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Flashcards only for definitions + command terms + common traps
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Re-write two weak answers to top-band quality
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Do a short timed Paper 1 set (15--25 minutes) and stop
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Pack exam materials, plan sleep, finish early
For a bigger picture “calm system” that still applies in a one-week crunch, read: IB: How to Get a 7 (A Calm, Repeatable System).
High-yield topics to prioritize in IB Computer Science
If time is limited, prioritize what appears frequently and links across papers.
Programming and algorithms
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Tracing code and predicting output
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Standard searching and sorting
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Recursion basics (especially HL)
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Data structures and when to use them
Databases
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Relational model, keys, relationships
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SQL basics and query logic
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Normalization and why it matters
Networks and system fundamentals
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Protocols and layers at a conceptual level
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Packet switching and trade-offs
A fast refresher on a commonly examined subtopic: IB Computer Science Packet Switching.
SDLC and evaluation
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Planning and design decisions
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Testing evidence
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Evaluation using criteria and realistic improvements
Exam technique: where marks disappear in one week
Most “cramming failure” in IB Computer Science is really technique failure. Here are the patterns that cost marks quickly.
Command terms are not decoration
If the question says outline, it’s looking for a short, clear response. If it says evaluate, it’s asking for criteria and a judgement. Students often write a long “explain” for everything, which feels productive but scores unevenly.
Clarity beats cleverness in algorithms
In Paper 1, you can earn marks with partial logic if your steps are readable. Use clear variable names, show loops and conditions, and keep it structured. The examiner can’t award marks they can’t find.
Paper 2 demands the scenario
A correct explanation that never references the given context is a low-ceiling answer. Add one or two sentences that “attach” your knowledge to the scenario: stakeholders, constraints, security trade-offs, performance considerations.
Timing is a skill you practice, not a trait you have
If you haven’t trained timing, exam day becomes a surprise. One timed set per day in the final week changes that.

How RevisionDojo helps in a one-week sprint
The biggest advantage in the final week is not “more resources.” It’s fewer moving parts.
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Study Notes give you fast, syllabus-aligned clarity (no wandering)
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Flashcards keep retrieval alive when your brain feels full
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Questionbank lets you target exact weaknesses by topic and difficulty
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AI Chat helps you fix misunderstandings quickly, especially for command terms and markscheme logic
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Grading tools help you see what earns marks in written responses, not just what sounds right
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Predicted Papers and Mock Exams turn revision into a rehearsal
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Coursework Library reduces background stress by showing what strong IA structure looks like
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Tutors are the emergency lever when you need a human to diagnose patterns fast
To build your resource base quickly, start at: IB Computer Science Resources.
The closing thought: fight the exam, not the syllabus
The final week of IB Computer Science revision is not the time to become a new person. It’s the time to become consistent. Two focused blocks a day. Flashcards for retrieval. Questionbank for proof. Timed rehearsal to make the room feel familiar.
If you want everything in one place, start here: IB Computer Science Resources. Then add one pressure test: IB Computer Science Predicted Papers.
One week is not a lot of time. But it is enough time to stop leaking marks for the same reasons -- and that’s often the difference between “I hope I pass” and walking out knowing you gave the paper exactly what it wanted.