HIPERWIND PhD 2023 Summer School

Cloning the repository

You can simply clone the repo via git:

git clone https://github.com/Hiperwind/PhDSchool.git

Installation

We recommend the installation of a Python 3.10 virtual environment. You can do so via:

Conda (recommended)

conda create -n "hiperwind" python=3.10

venv (this option requires a prior Python installation)

python -m venv /path_to_new_virtual_environment

You can then pip install the required packages:

pip install -r requirements.txt

Activate the virtual environment

Conda (recommended)

conda activate hiperwind

venv

source /path_to_new_virtual_environment/bin/activate

Slides

The slides are available here.

Exercises and tutorials

The exercises and tutorials are available here.

Project

A template containing all instructions necessary for the project is available here. You can complete the project at your own pace, though we suggest the following timeframe:

Day 1: Intro, installation of the Python environment, data visualization.
Day 2: Environmental data fitting.
Day 3: Surrogate model construction and testing.
Day 4: Limit state definition and reliability estimation.