Professional Circuit Design: Statistical Analysis

Statistical Method for Professional Circuit Development based on Typical Examples from Industry

What you'll learn

In this course you will learn a statistical method for developing a robust circuit design using examples from electronics development

You will gain a better understanding of electronic circuit developments in the field of statistical analysis

You will learn step by step using examples from industry such as temperature sensors with external NTC, voltage monitoring, etc.

The "Automotive Standard Tool" Mathcad Prime 7 is used for the calculations

Requirements

Basics of electronic circuit design is presumed

Description

In this course you will learn a well-founded methodology for calculating the statistical tolerance of different electrical circuits. After this course you will be able to calculate different circuits and analyze them down to the smallest detail. You will learn this methodology using typical examples from industry.The PTC Mathcad Prime tool is used for the calculations and derivations. Other tools can also be used, here the focus is on the calculation method and not the tool itself.The following course content is explained in detail:Introduction to Statistical AnalysisMathcad Prime Basic FunctionsStatistic BasicsVoltage Divider CircuitIntroductionGoal of the CalculationCircuit DiagramParameter DefinitionsGaussian Propagation of UncertaintyPartial DerivationsResultsSummaryTemperature Measurment Sensor CircuitIntroductionGoal of the CalculationRequirementsCircuit DiagramParameter DefinitionsGaussian Propagation of UncertaintyStandard DeviationPartial DerivationTemperature CoefficientResultsSummaryMy goal is that after completing this course you will be able to analyze different circuits and calculate them in a professional way. This knowledge offers you the best prerequisites for professionally developing and analyzing circuits. As a student As a graduate, you can use this knowledge to gain an advantage over other applicants. This will prepare you ideally for future jobs and projects.

Overview

Section 1: Introduction to Statistical Analysis

Lecture 1 Introduction

Section 2: Mathcad Prime

Lecture 2 Basic Functions

Lecture 3 ORIGIN / MIN - TYP - MAX

Lecture 4 Function Definition

Lecture 5 Partial Derivations

Lecture 6 Plots

Lecture 7 Interpolation

Lecture 8 Min / Max Functions

Lecture 9 Programming

Lecture 10 Material

Section 3: Statistics

Lecture 11 Statistic Basics

Lecture 12 Material

Section 4: Voltage Divider Circuit

Lecture 13 Introduction

Lecture 14 Goal of the Analysis

Lecture 15 Circuit Diagram

Lecture 16 Parameter Definitions

Lecture 17 Gaussian Propagation of Uncertainty

Lecture 18 Partial Derivation

Lecture 19 Results

Lecture 20 Summary

Lecture 21 Material

Section 5: Temperature Measurement Sensor Circuit

Lecture 22 Introduction

Lecture 23 Goal of the Analysis

Lecture 24 Requirements

Lecture 25 Circuit Diagram

Lecture 26 Parameter Definitions

Lecture 27 Gaussian Propagation of Uncertainty

Lecture 28 Standard Deviation

Lecture 29 Partial Derivation

Lecture 30 Temperature Coefficient

Lecture 31 Results

Lecture 32 Summary

Lecture 33 Material

To engineers, students, technicians, physicists and people who want to continue their education