YoVDO

Digital Twins Workshop: Foundations and Challenges - Day 1

Offered By: Alan Turing Institute via YouTube

Tags

Digital Twins Courses Bayesian Inference Courses Statistical Methods Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Attend a comprehensive workshop on digital twins featuring world-leading researchers addressing foundational aspects and key application areas. Explore Bayesian inference for intractable simulators, irregular posteriors of geophysical digital twins, and other cutting-edge topics in data-driven engineering. Learn from expert speakers including Sebastian Schmon from the University of Durham, Sally Cripps from CSIRO and the University of Sydney, and Dev Niyogi from the University of Texas at Austin. Gain valuable insights into the mathematical and statistical foundations of future data-driven engineering in this satellite event for the Isaac Newton Institute's programme. Benefit from the generous support of The Alan Turing Institute in this nearly two-hour session aimed at advancing digital twin research and disseminating knowledge to stakeholders in the UK and abroad.

Syllabus

INI Workshop - Day 1


Taught by

Alan Turing Institute

Related Courses

Probability - The Science of Uncertainty and Data
Massachusetts Institute of Technology via edX
Bayesian Statistics
Duke University via Coursera
Dealing with materials data : collection, analysis and interpretation
Indian Institute of Technology Bombay via Swayam
Applied Bayesian for Analytics
Indian Institute of Management Bangalore via edX
Bayesian Modeling with RJAGS
DataCamp