France · Première & Terminale
Éducation nationale — Bac NSI
9 lab practicals for the Bac NSI syllabus.
The lycée Numérique et sciences informatiques speciality, Première and Terminale, in Python and SQL. Every lesson is stepped, compiled and checked by a real toolchain on your own machine — the model reviews your code afterwards, it does not decide whether you passed.
Updated
Semester by semester
Programme: Spécialité Numérique et sciences informatiques (NSI), première et terminale générales. Scheme: Programmes BO spécial n°1 du 22 janvier 2019 (première) et BO spécial n°8 du 25 juillet 2019 (terminale). Open a course to see its practical units and the lab lesson GroutCode ships for each.
Première
1 course5 lab lessonsPython- NSI1Python
Numérique et sciences informatiques — première générale
5
lessons
- Bases, two's complement, floats, booleans and text encodings
- Tuples, named tuples, arrays, matrices and dictionaries
- 1Bases, two's complement, floats, booleans and text encodingsUnit 2 · Représentation des données: types et valeurs de base
- 2Tuples, named tuples, arrays, matrices and dictionariesUnit 3 · Représentation des données: types construits
- 3Tables from CSV: search, sort and merge a class listUnit 4 · Traitement de données en tables
- 4Specify, test and document: writing functions with contractsUnit 7 · Langages et programmation
- 5Search, sort, k nearest neighbours, binary search and greedy choicesUnit 8 · Algorithmique
Terminale
1 course4 lab lessonsPythonSQL- NSI2PythonSQL
Numérique et sciences informatiques — terminale générale
4
lessons
- Stacks, queues, dictionaries, binary trees and graph representations
- Lycee library database in SQL: keys, joins, aggregates, anomalies and updates
- 1Stacks, queues, dictionaries, binary trees and graph representationsUnit 2 · Structures de données
- 2Lycee library database in SQL: keys, joins, aggregates, anomalies and updatesUnit 3 · Bases de données
- 3Recursion, an expression interpreter, the halting problem, paradigms and debuggingUnit 5 · Langages et programmation
- 4Tree and graph algorithms, merge sort, dynamic programming and Boyer-Moore searchUnit 6 · Algorithmique
The full 2-course syllabus is transcribed in the app, including the theory courses. Lessons are authored against the course codes that have practical work, and the list grows with each release.
GroutCode is not affiliated with or endorsed by Éducation nationale — Bac NSI. Course codes and titles are transcribed from the institution’s published scheme documents.
How a practical runs
The same five steps for every lesson, in every language.
- 1
Pick your syllabus
Choose your university or board and the semester or class you are in. The course list is the transcribed official scheme, not an approximation.
- 2
Open a lab lesson
Each lesson is a stepped practical for a specific course, with a starter file you edit and a test file you do not.
- 3
Write the code yourself
The starter has the signatures and the TODOs. You implement them in the editor, in the language your course actually uses.
- 4
Run the checks
The toolchain compiles and runs the tests — 8 to 15 of them across the lesson, one per step, so you find out which change broke what.
- 5
Get the review
Once the tests pass, the model reads your implementation and tells you the input that breaks it. It never reports the pass or fail itself.
Why the compiler grades, not the model
The obvious way to build an AI lab tool is to let the model read the student’s code and say whether it is correct. It is also the way that produces a tool nobody can trust. A model will tell you your code works when the compiler says otherwise, and it will fail you for a style it happens to dislike.
So the two jobs are split:
- The model designs the lesson, writes the starter and the tests, and — after the tests pass — reads what you actually wrote and tells you the input that breaks it.
- The toolchain decides whether it compiles and whether each step passes. That verdict is not negotiable and the model never issues it.
And why steps instead of one big task
A 40-to-60 minute practical with a single Run at the end gives a beginner one bit of feedback an hour, and it arrives after every decision has already been made. Each lesson here is 8 to 15 steps, each with its own instruction and its own check, so you find out which change broke what while you still remember making it.
Frequently asked questions
Does GroutCode cover the Bac NSI Première & Terminale?
Yes. GroutCode ships the transcribed Bac NSI Première & Terminale for Spécialité Numérique et sciences informatiques (NSI), première et terminale générales — 2 courses — with 9 authored lab lessons mapped to specific course codes. The syllabus was transcribed from the official documents, and the source and checksum of each one is recorded in the app.
Which languages do the Bac NSI practicals use?
Python (8 lessons), SQL (1 lessons). The language is set per course code rather than guessed from the title, because the same subject is taught in different languages at different institutions.
Does the AI just write the practical for me?
No. The starter file has the signatures and the TODOs; you implement them. The toolchain — not the model — decides whether your code compiles and whether each step passes, so the AI cannot tell you your code works when the compiler disagrees. What it does afterwards is read your implementation and point out the input that breaks it.
Do the practicals work offline?
The lessons, the syllabus and the test runner are bundled in the app and run locally, so the compile-and-check loop works with no connection. The review step at the end uses a model, which can be a local one or a cloud one with your own key.
What do I need installed?
GroutCode detects which toolchains are present on your machine and tells you what is missing and what would fix it. You need the compiler or interpreter for the language your course uses — a C compiler, a JDK, Python, Node or SQLite.
Other syllabuses
Sorbonne
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Sorbonne Université’s Licence d’Informatique, L1 to L3: programming, C, object-oriented Java, data structures and databases.
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lab lessons
Paris-Saclay
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Université Paris-Saclay’s Licence Informatique: programming, algorithmics, modular and object programming in C++ and Java.
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lab lessons
Grenoble Alpes
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Université Grenoble Alpes’s Licence Informatique (UFR IM2AG): imperative programming in C, software projects and databases.
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lab lessons
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