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AI for Hydraulics

Syllabus​

Each week: 1h30 lecture + 1h30 lab.

WeekPartChapter
Pre-course1 — Data ManipulationPython Refresher
11 — Data ManipulationNumPy
21 — Data ManipulationPandas
31 — Data ManipulationTime Series with Pandas
41 — Data ManipulationVisualization
52 — Preprocessing & Supervised LearningMachine Learning Overview
62 — Preprocessing & Supervised LearningData Preprocessing
72 — Preprocessing & Supervised LearningSplitting & Validation
82 — Preprocessing & Supervised LearningRegression Models
92 — Preprocessing & Supervised LearningTrees & Ensembles
102 — Preprocessing & Supervised LearningEvaluation & Interpretation
112 — Preprocessing & Supervised LearningNeural Networks
123 — LLMs for Engineering WorkLLM Fundamentals, Prompting & Ethics
133 — LLMs for Engineering WorkPlanning & Writing with Google Docs · Google Sheets & Coding Assistants
143 — LLMs for Engineering WorkAPIs & Agents 🔑

🔑 = requires your own subscription or API credits (optional).

Prerequisites​

Running the notebooks​

Google Colab​

Running locally​