Published 5/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 766.51 MB | Duration: 2h 21m
Statistical Method for Professional Circuit Development based on Typical Examples from Industry
Free Download 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
Homepage
https://www.udemy.com/course/professional-circuit-design-statistical-analysis/