Udemyintermediatees

Estimación de incertidumbre con ejemplos.

Learn uncertainty estimation concepts and practical examples. Develop skills to assess and manage risk in your projects.

4.7(80)
231students
6h 23m
Certificate
Ogilvie Climaco Arvizu
Ogilvie Climaco ArvizuM. en C. Microelectrónica

Course Content

Estimación de incertidumbre con ejemplos. is an intermediate-level Udemy course taught by Ogilvie Climaco Arvizu. It runs 6h 23m, is taught in Spanish, and includes a certificate of completion. Learners rate it 4.7 out of 5 from 80 reviews, with 231 students enrolled. It is a paid course, last updated March 2024.

Explore the fundamentals of uncertainty analysis in this comprehensive course! You'll gain a strong understanding of key concepts, including probability distributions and the crucial distinction between Type A and Type B evaluation of uncertainty. Learn how different types of uncertainty are classified and applied in practical scenarios.

This course delves into the parameters influencing measurement uncertainty evaluation and provides a step-by-step uncertainty evaluation procedure. You'll apply essential statistical concepts using Excel spreadsheets to perform calculations. Master the law of propagation of uncertainty and its application.

Through two detailed examples, you'll learn to estimate uncertainty by analyzing the analytical models of equations. These exercises are grounded in the GUM (Guide to the Expression of Uncertainty in Measurement).

  • Exercise 1: Area Measurement of a Coin: Determine the uncertainty in the area of a coin using a ruler and vernier caliper. Compare the precision of these instruments and interpret the resulting uncertainty values.
  • Exercise 2: Electrical Resistance Uncertainty: Calculate the uncertainty of electrical resistance using a hook-type multimeter, calibration certificate, and specifications. Learn to perform the entire uncertainty calculation from scratch in Excel, with detailed, step-by-step explanations.

We'll utilize software for partial derivatives to determine sensitivity coefficients, allowing you to understand how changes in input variables affect the output uncertainty. This course equips you with practical skills for quantifying and managing uncertainty in measurement and analysis.

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