The writing half of a computer science degree
Technical reports, design documents, requirements specifications, risk assessments and the capstone write-up. The part of the degree nobody teaches and everybody is graded on.
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The code works. The report is what is being graded
Most computer science students lose points in the same place: a project that runs correctly, documented in a report that does not explain why any of the decisions were made. The rubric asks for justification of the design, evaluation against the requirements, and a critical discussion of the limitations. A report that describes the implementation, however accurately, answers none of those.
The same pattern shows up in a machine learning write-up that reports accuracy and stops, in a database design document that gives an ER model with no normalization argument, and in a cybersecurity risk assessment that lists threats without ranking them against a stated risk appetite.
So the feedback here is on the argument and the structure, from someone with a graduate computing qualification. Not on your code, which we do not write.
- Design decisions justified against the requirements you were given
- Evaluation sections that test the claim rather than restate the result
- Limitations written as limitations, which is a rubric criterion
- IEEE, ACM or APA 7 referencing, formatted to your program's spec
What comes back to you
On a final-year project or MS capstone report
- Your tracked document, with the reason written beside every change
- Where the report describes rather than justifies, section by section
- The rubric criteria you are currently scoring lowest against
- Referencing, figure captions and cross-references corrected by rule
- Authorship of every word. We do not write your code or your report
What we help you with
Technical reports
Networking, systems and lab reports where the points sit in the analysis rather than the transcript of what you configured.
Requirements and design documents
Software engineering deliverables judged on traceability: does every design decision map back to a stated requirement.
Database design
ER models and schema documents, with the normalization argument the rubric is actually asking for.
Machine learning write-ups
Project reports where the evaluation has to justify the model choice, not just report a number that came out of it.
Data analysis supportCybersecurity risk and policy
Risk assessments and policy documents, ranked against a stated risk appetite rather than listed.
Capstone and thesis
The final project write-up, with one named person across the whole thing.
How project support worksCourses and programs we work in
Core computing
- Programming FundamentalsDocumentation, code explanation
- Data Structures & AlgorithmsAnalysis write-ups, complexity arguments
- DatabasesDesign documents, ER models
- Software EngineeringRequirements and design documents
Systems and security
- NetworkingTechnical reports
- CybersecurityRisk assessments, policy documents
- Machine LearningProject reports, model write-ups
Programs
- MS Computer ScienceCoursework and the capstone or thesis
- MS Data ScienceCoursework, analysis projects, capstone
Capstone level
- Undergraduate capstoneProposal, implementation report, evaluation
- MS thesisLiterature review through defense
How a report moves through
Send the report and the rubric
Your draft and the grading rubric. Send the requirements or brief too: a design justification cannot be checked without the requirements it is supposed to satisfy.
A qualified reader reads it
Someone with a graduate computing qualification, named to you before you book, who reads to the rubric first.
You get the argument tested
Every change tracked with a reason beside it, plus a section-by-section note on where the report describes instead of justifying.
You apply it to the next one
Technical writing is a transferable skill and it does not stop mattering after graduation. That is the actual deliverable.
We help you do your work better. We never do it for you
- No ghostwriting, and no part of a report, specification or thesis written for submission.
- We do not write, debug or complete your code. That is your assignment.
- No completed work supplied as a sample to hand in.
- No help of any kind during an exam or a proctored assessment.
- Editing happens on a draft you wrote, and you approve every change.
Selling completed academic work is a criminal offense in 17 US states, and the liability sits with the seller. Automated similarity and authorship tooling is also more aggressive in computing than in most disciplines. Read the full policy.
Frequently Asked Questions
No. Code is the assignment in a computing degree, and writing it for you would be the clearest possible breach of your program's rules. We work on the report, the documentation and the argument around the code you wrote.
Usually because the report describes the implementation instead of justifying it. Rubrics in this field weight design justification, evaluation against requirements, and critical discussion of limitations heavily, and none of those are satisfied by an accurate account of what the system does.
IEEE, ACM and APA 7. US computing programs are split between them and some departments specify per course, so tell us which one the syllabus names.
Yes. The most common problem is an evaluation section that reports a metric without justifying the model choice, the baseline or the split. If you also want help interpreting the results themselves, that sits under data analysis support.
Exam preparation is built from your own score report rather than a question bank, and the approach transfers to vendor certifications. Tell us which one you are sitting when you get in touch.
Send us the report and the rubric
We will tell you what we would do with it, what it would cost, and where it is describing instead of justifying. Before you commit to anything.
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