Developed by Eric Ayars - Published August 1, 2016
|Subject Areas||Experimental / Labs and Mathematical / Numerical Methods|
|Level||Beyond the First Year|
Non Linear Curve Fitting
Students who complete this module will gain experience in * Reading data files into the computer. * Fitting data to arbitrary functions. * Using uncertainty in data points as part of the calculation of the curve fit. * Reporting parameter values _with uncertainty_.
|Time to Complete||90 min|
These exercises are not tied to a specific programming language. Example implementations are provided under the Code tab, but the Exercises can be implemented in whatever platform you wish to use (e.g., Excel, Python, MATLAB, etc.).
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Credits and Licensing
Eric Ayars, "Curve Fitting," Published in the PICUP Collection, August 2016, https://doi.org/10.1119/PICUP.Exercise.curvefit.
The instructor materials are ©2016 Eric Ayars.
The exercises are released under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 license