# Périmètre PRODUCTION — dérivation mécanique v1 > **Epic [#11259](https://github.com/jsboige/CoursIA/issues/11259) — tâches T1 + T1b.** > Candidats à la signature `PRODUCTION`, dérivés du calendrier d'enseignement > ([teaching-context.md](../reference/teaching-context.md), cycle 2026→2027). > **La décision se prend par série**, dans le tableau « La passe par série » ci-dessous — > une réponse par ligne, rien d'autre à faire. Le détail par notebook (strate A) > reste en dessous comme référence consultable ; la strate B n'est pas soumise à > décision (non tranché = BETA, verdict correct), la strate C reste exclue sauf > demande explicite. ## Critères mécaniques appliqués | Règle | Portée | |-------|--------| | Séries in-scope | 4 écoles : EPF GenAI (4 modalités), ECE/partner (QuantConnect Python), EPITA-PrCon (Search Part1+Part2), EPITA-IS (6 séries SymbolicAI) | | Exclus — jumeaux | un seul notebook par concept : version principale (sans suffixe plateforme, sinon Python) ; `-Csharp` duplicata exclu | | Exclus — variantes | numéros lettres (`12b`, `23b`, `11b-Deep-PartN`), suffixes `_agent` | | Exclus — technique | `*_en.ipynb` (traduction), `*_output*`, `_archive/`, `_research/`, `temp/`, `_probes/`, `RDF.Net-Legacy/` | | Exclus — setup | notebooks d'environnement/`Setup` (réintégrables : ils s'exécutent, ne s'enseignent pas) | | Strate A (proposé) | GenAI **Foundation** des 4 modalités + Texte 1-8 · QC-Py **02-21** + série Cloud · Search **Part1+Part2** · SymbolicAI **têtes** (numéros ≤3 + fondateurs) | | Strate B (hors proposition v1) | GenAI Advanced/Applications + Texte 9-21 · QC-Py 22-41 (ML avancé) + `research_*` · le reste des séries SymbolicAI — BETA par défaut, intégration sur demande explicite | ## Ordre de passage (d'après l'Epic) 1. **Prochains cours au calendrier** — rentrée septembre 2026 : QC League (ex-ECE) et nouvelle promo EPF → séries QC-Py cœur et GenAI Foundation en tête. 2. **Référencés par les sujets de projet** — EPITA-IS (TP = 1 série au choix) → têtes SymbolicAI. 3. **Têtes de série** — le notebook qu'un étudiant ouvre en premier dans chaque série. 4. Le reste du périmètre (strate B arbitrée). ## La passe par série — la seule surface de décision Une ligne par série, dans l'ordre de passage. La question, une seule fois par ligne : **cette série entière entre-t-elle dans le périmètre signé ?** Répondre « oui », « non », ou « oui sauf … » (citer le notebook). La colonne *Tête de série* nomme le notebook qu'un étudiant ouvre en premier dans la série — le point d'appui du jugement. Le détail par notebook suit en strate A ci-dessous : consultation, plus décision. | Série | Cours | Tête de série | N proposés | Verdict | |-------|-------|---------------|------------|---------| | QuantConnect Python | ECE IA Finance Ing4 + Partner Algo Trading | `QC-Py-02-Platform-Fundamentals.ipynb` | 35 | | | GenAI Image — Foundation | EPF GenAI Bachelor 3A | `01-1-OpenAI-DALL-E-3.ipynb` | 5 | | | GenAI Audio — Foundation | EPF GenAI Bachelor 3A | `01-1-OpenAI-TTS-Intro.ipynb` | 5 | | | GenAI Video — Foundation | EPF GenAI Bachelor 3A | `01-1-Video-Operations-Basics.ipynb` | 5 | | | GenAI Texte (1-8) | EPF GenAI Bachelor 3A | `01_OpenAI_Intro.ipynb` | 8 | | | Search — Part 1 Foundations | EPITA Programmation par Contraintes | `Search-01-StateSpace.ipynb` | 13 | | | Search — Part 2 CSP | EPITA Programmation par Contraintes | `CSP-1-Fundamentals.ipynb` | 9 | | | Argument Analysis | EPITA IA Symbolique | `Argumentation-01-Toulmin-Model-Python.ipynb` | 4 | | | Tweety | EPITA IA Symbolique | `Tweety-02-Basic-Logics-Python.ipynb` | 6 | | | Lean | EPITA IA Symbolique | `Lean-02-Dependent-Types-Lean.ipynb` | 2 | | | Semantic Web | EPITA IA Symbolique | `SW-2-CSharp-RDFBasics.ipynb` | 2 | | | Planners (01-02) | EPITA IA Symbolique | `Planners-1-Introduction.ipynb` | 3 | | | SmartContracts (00-01) | EPITA IA Symbolique | `SC-00-Cypherpunk-Origins-Python.ipynb` | 2 | | ## Strate A — proposés pour signature (99) *Référence consultable — la décision se prend par série dans le tableau ci-dessus. Un dossier de revue sera préparé pour chaque entrée dans l'ordre de passage.* ### EPF — GenAI Bachelor 3A (MSBNS3IN03) (23) - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-1-OpenAI-DALL-E-3.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-2-GPT-5-Image-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-3-Basic-Image-Operations.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-4-Forge-SD-XL-Turbo.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-5-Qwen-Image-Edit.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-1-OpenAI-TTS-Intro.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-2-OpenAI-Whisper-STT.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-3-Basic-Audio-Operations.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-4-Whisper-Local.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/01-Foundation/01-5-Kokoro-TTS-Local.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-2-GPT-5-Video-Understanding.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-3-Qwen-VL-Video-Analysis.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-4-Video-Enhancement-ESRGAN.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-5-AnimateDiff-Introduction.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/01_OpenAI_Intro.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/02_PromptEngineering.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/03_Structured_Outputs.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/04_Function_Calling.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/05_RAG_Modern.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/06_PDF_Web_Search.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/07_Code_Interpreter.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/08_Reasoning_Models.ipynb` ### ECE IA Finance Ing4 + Partner Algo Trading QuantConnect (35) - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-01-FinBERT-Sentiment.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-03b-RiskParity-Composite.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-02-Platform-Fundamentals.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-02-ML-Classification.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-12-SectorRotation-Momentum.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-03-Data-Management.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-14-DualMomentum.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-03-Risk-Parity.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-04-Research-Workflow.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-04-MeanReversion.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-10-RL-DQN-Trading.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-05-Universe-Selection.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-05-MLP-Forecasting.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-11-RegimeSwitching.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-06-Options-Trading.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-06-PCA-StatArb.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-13-VolTargeting.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-07-Futures-Forex.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-07-TemporalCNN.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-08-Multi-Asset-Strategies.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-08-ValueFactor-ZScore.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-09-Order-Types.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Cloud-09-OptionWheel.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-10-Risk-Portfolio-Management.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-11-Technical-Indicators.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-12-Backtesting-Analysis.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-13-Alpha-Models.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-14-Portfolio-Construction-Execution.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-15-Parameter-Optimization.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-16-Alternative-Data.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-17-Sentiment-Analysis.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-18-ML-Features-Engineering.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-19-ML-Supervised-Classification.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-20-ML-Regression-Prediction.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-21-Portfolio-Optimization-ML.ipynb` ### EPITA — Programmation par Contraintes (22) - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-01-StateSpace.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-02-Uninformed.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-03-Informed.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-04-LocalSearch.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-05-GeneticAlgorithms.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-06-AdversarialSearch.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-07-MCTS-And-Beyond.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-08-DancingLinks.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-09-LinearProgramming.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-10-SymbolicAutomata.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-11-Metaheuristics.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-02b-NetworkX.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-02c-QuikGraph.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-1-Fundamentals.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-2-Consistency.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-3-Advanced.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-4-Scheduling.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-5-Optimization.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-6-Hybridization.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-7-Soft.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-8-Temporal.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part2-CSP/CSP-9-Distributed.ipynb` ### EPITA — IA Symbolique (19) - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-00-Setup-Tweety-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02-Fallacies-Detection-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-05-Formal-Verification-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-01-Toulmin-Model-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-02-Basic-Logics-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-3-Advanced-Logics.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-3-Conditional-Logics-Csharp.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-3-Dung-Csharp.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-3-ModalLogic-Csharp.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-3-QBF-Csharp.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-02-Dependent-Types-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-03-Propositions-Proofs-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-2-CSharp-RDFBasics.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-3-CSharp-GraphOperations.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/01-Foundation/Planners-1-Introduction.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/01-Foundation/Planners-2-PDDL-Basics.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/01-Foundation/Planners-3-State-Space.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SmartContracts/00-Foundations/SC-00-Cypherpunk-Origins-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SmartContracts/01-Solidity-Foundation/SC-03-Solidity-Basics-Python.ipynb` ## Strate B — hors proposition v1 (112) *Non soumise à la passe de validation. Statut BETA par défaut — verdict correct, pas une dette. Une entrée n'entre dans le périmètre PRODUCTION que sur demande explicite (mention sur l'Epic) ; un dossier de revue est alors préparé (T2).* ### EPF — GenAI Bachelor 3A (MSBNS3IN03) (34) - [ ] `MyIA.AI.Notebooks/GenAI/Image/01-Foundation/01-5b-Qwen-Image-Edit-2509.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/02-Advanced/02-2-FLUX-1-Advanced-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/02-Advanced/02-3-Stable-Diffusion-3-5.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/02-Advanced/02-4-Z-Image-Lumina2.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Image/02-Advanced/02-5-Bonsai-Image-Ternary.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-1-Chatterbox-TTS.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-2-XTTS-Voice-Cloning.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-3-MusicGen-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-4-Demucs-Source-Separation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-5-Multi-Model-TTS-Gateway.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-6-MIDI-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-7-YuE2-Song-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-8-Expressive-TTS.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Audio/02-Advanced/02-9-AceStep-Music-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-1-HunyuanVideo-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-2-LTX-Video-Lightweight.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-3-Wan-Video-Generation.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-4-SVD-Image-to-Video.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-5-LTX2-Audiovisual.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-6-MiniMax-H3-Architecture-Licensing.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Video/02-Advanced/02-7-CogVideoX-Text-to-Video.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/09_Production_Patterns.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/10_LocalLlama.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/11_Quantization.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/12_Test_Time_Scaling.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/13_Agentic_Orchestration.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/14_Persistent_Memory.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/15_Tree_of_Thoughts_Search.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/16_Scaling_Test_Time_Compute.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/17_Native_Reasoning_vs_Scaling.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/18_Semantic_Kernel_Plugins.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/19_OWUI_Orchestration.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/20_OWUI_Native_API.ipynb` - [ ] `MyIA.AI.Notebooks/GenAI/Texte/21_LoRA_FineTuning.ipynb` ### ECE IA Finance Ing4 + Partner Algo Trading QuantConnect (18) - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-22-Deep-Learning-LSTM.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-23-State-Space-Models.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-24-Autoencoders-Anomaly.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-25-Reinforcement-Learning.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-26-LLM-Trading-Signals.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-27-Production-Deployment.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-28-Market-Regime-Detection.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-30-LSTM-Training.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-31-Transformer-Training.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-32-RL-DQN-Trading.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-33-RL-PPO-Trading.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-34-RL-SAC-A2C-Trading.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-35-RL-Portfolio-Construction.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-40-PaperTrading-Binance.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-41-PaperTrading-IBKR.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/QC-Py-Dataset-Workflow.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/research/research_classification.ipynb` - [ ] `MyIA.AI.Notebooks/QuantConnect/Python/research/research_lstm.ipynb` ### EPITA — IA Symbolique (60) - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-07-Orchestration-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-08-Capstone-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-06-JTMS-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-08e-Argument-Profile-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-02b-Argumentum-Cards-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-03-Dung-AF-Semantics-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-08b-Executor-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-05c-Formal-Richness-Matrix-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-05b-Multi-Backend-Routing-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argument_Analysis_Ontology_AIF.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argument_Analysis_Ontology_CrossLinks.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argument_Analysis_Ontology_Virtues.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-03c-Ranking-Semantics-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-08d-Restitution-3-Actes-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-08c-UI-Configuration-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/Argumentation-03b-Value-Based-AF-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Argument_Analysis/groupe-I2-contre-arguments-aspic/I2_Contre_arguments_ASPIC.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-4-Aspic-Csharp.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-4-Belief-Revision.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-5-Abstract-Argumentation.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-06-Structured-Argumentation-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-08-Agent-Dialogues-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-09-Preferences-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-10-MLN.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Tweety/Tweety-11-Causal.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-04-Quantifiers-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-05-Tactics-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-06-Mathlib-Essentials-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-07-LLM-Integration-Lean-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-08-Agentic-Proving-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-09-SK-Multi-Agents-Lean-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-10-LeanDojo.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-11-TorchLean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-12-Sensitivity-Theorem.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-13-Kochen-Specker.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-14-Finiteness-Derivatives.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-15-Grothendieck-Tribute.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-17a-Knots-Conway-Proofs.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-17b-Knots-Invariants-Companion.ipynb` - [ ] `MyIA.AI.Notebooks/Search/Part1-Foundations/Search-03e-AStar-Optimality.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/ANALYSE/ANALYSE-01-Sendov-Lean-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/ANALYSE/ANALYSE-02-Tao-Lean-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/ANALYSE/ANALYSE-03-PFR-Lean.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Lean/Lean-21-MIMO-Detection-Flips.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-4-CSharp-SPARQL.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-5-CSharp-LinkedData.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-6-CSharp-RDFS.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-7-CSharp-OWL.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-8-Python-SHACL.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-9-Python-JSONLD.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-10-Python-RDFStar.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-11-Python-KnowledgeGraphs.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-12-Python-GraphRAG.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SemanticWeb/SW-13-Python-Reasoners.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/02-Classical/Planners-4-Fast-Downward.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/02-Classical/Planners-5-Heuristics.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/Planners/02-Classical/Planners-6-Domains.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SmartContracts/01-Solidity-Foundation/SC-04-Functions-State-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SmartContracts/01-Solidity-Foundation/SC-05-Inheritance-Python.ipynb` - [ ] `MyIA.AI.Notebooks/SymbolicAI/SmartContracts/01-Solidity-Foundation/SC-06-Errors-Events-Python.ipynb` ## Séries hors périmètre — justification en une ligne Chaque série non recensée ci-dessus, et pourquoi (contestable sur l'Epic sans rouvrir le dossier) : | Série | Pourquoi hors périmètre v1 | |-------|----------------------------| | `ML/` (ML.NET) | cursus .NET non rattaché aux 4 écoles in-scope ; le ML enseigné passe par QC-Py (ECE) et GenAI (EPF) | | `Search/Part4-Metaheuristics/` | au-delà du programme PrCon — Part1+Part2 couvrent le cours référencé | | `Search/Applications/`, `Search/MetaGeneticSharp/` | applications dérivées non citées par le calendrier des cours | | `Sudoku/` | série .NET autonome, non rattachée à un cours du calendrier | | `Probas/` (Infer.NET) | idem — non rattachée à une des 4 écoles | | `GameTheory/` | les preuves Lean associées sont du code (i18n #4980), non des notebooks à signer ; les `.ipynb` ne sont pas cités nommément par le calendrier | | `IIT/` (PyPhi) | non rattaché à un cours du calendrier | | `RL/`, `CaseStudies/`, `GenAI/FallacyDetection/`, `cross-series/` | hors des 4 écoles in-scope (FallacyDetection descendu dans GenAI/ via tranche 1 #13581, 2026-08-30) | | `QuantConnect/` hors `Python/` (C#, partner-course, ML-Training-Pipeline, projects, kelly_lean) | le cours ECE/partner suit la série Python ; le reste est outillage/projets, non enseigné en cours | | `SymbolicAI/Planners/03-Advanced/`, `04-NeuroSymbolic/` | au-delà des 2 sous-séries scoping EPITA-IS (TP = tête de série) | | `SymbolicAI/SmartContracts/02-*/` à `06-*/` | idem — scoping EPITA-IS limité à `00-Foundations` + `01-Solidity-Foundation` | | `SymbolicAI/Z3.Linq/` | fork externe non tracké (submodule) | ## Strate C — exclus mécaniques (81) Non candidats par règle (aucune action attendue ; réintégration = demande explicite sur l'Epic). Comptes par catégorie : - `EXCL-JUMEAU` : 42 - `EXCL-VARIANTE` : 33 - `SETUP` : 6 --- *Dérivé mécaniquement depuis le disque (worktree frais `origin/main`) le 2026-08-16. Source du calendrier : [docs/reference/teaching-context.md](../reference/teaching-context.md) — à jour 2026-08-08. La validation en une passe fige la strate A ; les ajustements ultérieurs passent par l'Epic.*