Information for research students about course offerings
Samkörs med FSG3130, HT2022
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Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Content and learning outcomes
Intended learning outcomes
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
UQ inverse problem: Data analysis and regression
Verification and validation of simulations
Literature and preparations
Part of a Master degree programme in a mechanics related area is recommended.
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.
- 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
Opportunity to raise an approved grade via renewed examination
Renewed examination is possible
- 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 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
Main field of study
The lecture part of the course is given during one week (approximately 20h) in P2. More information will be posted on Canvas: