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SG2227 Uncertainty Analysis 6.0 credits

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Headings with content from the Course syllabus SG2227 (Spring 2022–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

No information inserted

Intended learning outcomes

No information inserted

Course disposition

  1. Introduction: Errors, uncertainty, and UQ. Different viewpoints.

  2. Basic statistical tools: Errors and uncertainties in a measured variable

  3. UQ forward problem: Uncertainty propagation from multiple variables

  4. Sensitivity analysis

  5. UQ inverse problem: Data analysis and regression

  6. Verification and validation of simulations

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

Part of a Master degree programme in a mechanics related area is recommended.


No information inserted


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

Rabinovich: Evaluating Measurement Accuracy, third edition, Springer, 2018

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F


  • INL1 - Assignment 1, 1.0 credits, grading scale: P, F
  • INL2 - Assignment 2, 1.0 credits, grading scale: P, F
  • TEN1 - Exam, 4.0 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

not possible

Opportunity to raise an approved grade via renewed examination

Renewed examination is possible


Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web SG2227

Offered by

Main field of study

Mechanical Engineering

Education cycle

Second cycle

Add-on studies

No information inserted


Philipp Schlatter (, Marco Laudato (

Supplementary information

The lecture part of the course is given during one week (approximately 20h) in P2. More information will be posted on Canvas: