NOC:Introduction to Uncertainty Analysis and Experimentation

Lecture 1 - Course Outline, Introduction

Lecture 2 - Experimentation Processes and Applications Overview

Lecture 3 - Developments in Uncertainty Analysis, Approach

Lecture 4 - Errors, Their Causes and Classification

Lecture 5 - Errors to Uncertainty via Statistics

Lecture 6 - Sources of Errors, Uncertainty Definitions

Lecture 7 - Experimentation - I

Lecture 8 - Experimentation Stages / Phases I

Lecture 9 - Experimentation Stages / Phases II

Lecture 10 - Uncertainty Analysis Processes

Lecture 11 - Instrument ans DAS

Lecture 12 - Basic procedure - I

Lecture 13 - Basic procedure - II

Lecture 14 - Evaluating systematic uncertainties

Lecture 15 - Worksheets for uncertainty in a measurement, Examples

Lecture 16 - Examples of uncertainty in a measurement

Lecture 17 - Methodologies, Multiple tests method

Lecture 18 - Single test, Basics of taylor Series Method

Lecture 19 - Sensitivity coefficient, Result uncertainty from TSM

Lecture 20 - Result uncertainty TSM: Special cases

Lecture 21 - Method selection, Worksheets for result uncertainty

Lecture 22 - Examples for result uncertainty - 1

Lecture 23 - Examples for result uncertainty - 2

Lecture 24 - Regression Introduction

Lecture 25 - Regression analysis - Linear, single variable

Lecture 26 - Correlation, Related topics

Lecture 27 - Reporting uncertainties

Lecture 28 - Validation and verification aspects, Data archiving

Lecture 29 - Course overview