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6 Exercise Sets

Mathematical/Numerical Methods
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Monte Carlo error propagation

First Year Mathematical/Numerical Methods

Developed by Andy Runquist

Programming Languages: Mathematica and Python

Separation of Variables in Cartesian Coordinates

Beyond the First Year Electricity & Magnetism and Mathematical/Numerical Methods

Developed by J. D. McDonnell

Programming Languages: IPython/Jupyter Notebook

Separation of Variables in Spherical Coordinates

Beyond the First Year Electricity & Magnetism and Mathematical/Numerical Methods

Developed by J. D. McDonnell----

Programming Languages: IPython/Jupyter Notebook

Curve Fitting

Beyond the First Year Mathematical/Numerical Methods and Experimental Labs

Developed by E. Ayars

Programming Languages: Python

Lattice Elasticity, the Vibrating String, and Nonlinearity

Beyond the First Year and Advanced Waves & Optics, Mathematical/Numerical Methods, and Other

Developed by W. Freeman

Programming Languages: C/C++



Submitted Exercise Sets

The following Exercise Sets have been submitted for peer review, but they have not yet been accepted for publication in the PICUP collection.

Interactive modeling of exoplanets

Beyond the First Year and Advanced Mechanics, Mathematical/Numerical Methods, and Astronomy/Astrophysics

Developed by Jay Wang

Programming Languages: Python and IPython/Jupyter Notebook

Ready for Review