Overview

Please see the latest information about the Uncertainty Course at KTH (and online in Zoom room 456892496 at this link). The lecture room is Faxén, room 5316 Teknikringen 8 on KTH Main Campus. If you do not have access to the room, just wait outside in the long hallway TR8.

The course is a block course, during week 46 (14-18 November 2022). There will be approximately 20h of lectures, plus hands-on and a project.

Course schedule:

Monday (Nov 14) 11:00-16:00: Introduction, Statistical tools.
Tuesday (Nov 15) 09:00-16:00: Statistical tools, UQ forward analysis
Wednesday (Nov 16) 09:00-16:00: UQ forward analysis
Thursday (Nov 17) 09:00-16:00: Sensitivity and Regression
Friday (Nov 18) 09:00-10:00, 13:00-16:00: Regression, Experiments & Simulations
Guest lecture Ramis Örlü: Friday 18. November, 13-15
Lunch break every day 12:30-13:30 (except Friday)

Preparation (before the course start):

Install and test Jupyter notebooks on your laptop: Check the following page.
If you are not familiar with Python 3, please try to get the basic idea either via trying yourself, or reading a relevant book.
It may be beneficial if you have git installed

Course disposition

Introduction: Errors, uncertainty, and UQ. Different viewpoints.
Basic statistical tools: Errors and uncertainties in a measured variable.
UQ forward problem: Uncertainty propagation from multiple variables.
Sensitivity analysis.
UQ inverse problem: Data analysis and regression.
Verification and validation of experiments and simulations.

Link to the course on Spectral Methods: https://kth-nek5000.github.io/kthNekBook/_md/index.html

Examination

For FSG3130: 5 ECTS points, DEL1 and INL1 (P/F). DEL1 means participation in most of the lectures, and INL1 is a project (about 1 week work)
For SG2227: 6 ECTS points, INL1=INL2, oral exam (A-F): INL1 is a project (about 1 week work)

Literature

A. Segalini & H. Alfredsson, Uncertainty Analysis, Lecture notes, 2018
H.W. Coleman & W. Glenn Steele: Experimentation, validation, and Uncertainty Analysis for Engineers, (3rd Edition), Wiley, 2018
S.G. Rabinovich: Evaluating Measurement Accuracy, third edition, Springer, 2018
F.A. Morrison: Uncertainty Analysis for Engineers and Scientists: A Practical Guide, Cambridge University Press, 2021

Contact information

In this course, you will meet:

Saleh Rezaeiravesh, saleh.rezaeiravesh@manchester.ac.uk
Philipp Schlatter, pschlatt@mech.kth.se
Ramis Örlü, ramis@mech.kth.se

SG2227/FSG3130 HT22 Uncertainty Analysis