Training Course: Analysis Techniques
This training course deals with design, analysis, simulation and measurement techniques for analog electronics.
table of contents
- course objective
- target group
- starting level
- target level
- final assignment
- duration
- description
- course contents
course objective
The aim of this course is to refresh, broaden and learn to apply participants’ existing knowledge of analysis techniques.target group
This course is meant for designers who want to attend one of our design courses on analog electronics.starting level
- BSc in physics or electrical engineering
or
- Secondary education in electrical engineering with some years of experience in design and engineering of simple electronic circuits
target level
At the end of this course the participant will have sufficient knowledge of analysis techniques to participate in our design courses for analog electronic circuits.
final assignment
The final assignment involves completing a detailed set of exercises to which the answers are available. This means participants can judge their own results. When completing these assignments the participant can use symbolic and numeric simulation tools.
duration
This course lasts one day but involves between 20 and 100 hours of home study, depending on the starting level. This course has no final presentation.
description
An important task in design is finding methods to fix the properties of a design. Following this, the designer has to verify the behavior of the design. Both tasks require knowledge of modeling and verification methods. This course emphasizes the interaction between the fields of information theory, network theory, control engineering, mathematics and physics. Furthermore it shows how to apply this knowledge using symbolic and numeric analysis tools.
course contents
- Signal models
- Deterministic (time-, frequency- and complex frequency domain models)
- Stochastic (average and RMS value, auto correlation, spectral power density)
- Noise mechanisms and modeling (thermal noise, shot noise, flicker noise)
- System theory
- Classification (linearity, stationarity, instantaneous versus dynamic, causality and stability)
- Modeling (Taylor series, differential equations, Fourier and Laplace)
- Information theory (channel capacity)
- Summarization of network theory (Modified Nodal Analysis, two-ports, poles and zeros)
- Application of linear algebra (matrices, determinant, Cramer’s rule, eigenvalues)
- Symbolic simulation and formulating design equations (software: SIMetrix, SLiCAP and Scientific Notebook)
- Circuit simulation (SPICE-based simulators)
- Measurement techniques
Course participants receive the software ‘Scientific Notebook’ and an introductionary version of the circuit simulator SIMetrix. The use of the symbolic simulator ‘SLiCAP’ is free (web application).