Developed by Eric Ayars - Published August 1, 2016
DOI: 10.1119/PICUP.Exercise.curvefit
Subject Areas | Experimental / Labs and Mathematical / Numerical Methods |
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Level | Beyond the First Year |
Available Implementation | Python |
Available Variation |
Non Linear Curve Fitting |
Learning Objectives |
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.
DOI: 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