16 Introduction to EEC Choice of Circuits Confidence Intervals amp AIC

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=p11nnRE2uuo

Welcome to 'Electrochemical impedance Spectroscopy' course ! • This lecture transitions from data validation to data analysis using equivalent circuits (EEC). It highlights the role of EEC in extracting physical meaning from EIS data by representing the system with circuit elements. The lecture emphasizes that EEC is an analogy and the choice of circuit should be based on an understanding of the system. • The lecture discusses the importance of considering different forms of equations when fitting data to models, as the choice of form can affect the fitting results. It provides examples of interpreting impedance spectra based on their shape and features, such as semicircles and distorted semicircles, to guide circuit selection. • Additionally, the lecture discusses the significance of confidence intervals and the Akaike Information Criterion (AIC) in evaluating the goodness of fit and the complexity of the model. • NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. • To understand various certification options for this course, please visit https://nptel.ac.in/courses/104106105 • #EEC #EquivalentCircuit #ConfidenceIntervals #AIC #DataFitting

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