Workshop Introduction

Introduction to the calisim Python package for the calibration of computer simulation models. Demonstrates model calibration and evaluation procedures such as black-box optimisation, sensitivity analysis, and Bayesian calibration.

Overview

Workshop material for calisim may be found in the workshop directory.

We will work though basic examples for optimisation and sensitivity analysis, alongside more complex calibration methods.

Click this link to launch the workshop material within Binder, which is recommended for users who do not wish to configure the workshop environment locally.

Helpful background knowledge

Familiarity with Python and computer simulation modelling. Some introductory-level understanding of black-box optimisation, sensitivity analysis, and Bayesian calibration.

Coordinators

Contents: