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Jupyter notebooks for teaching undergraduate students in Engineering/Science how to utilise Python for checking, plotting and validating their calculations.

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README.md

Mathematics Python Modules

The purpose of these notebooks is to introduce a student to the python language and how it can be useful for mathematics, engineering and science students.

The intent is to teach useful skills that allow for:

  1. Validation of results.
  2. Catalysing the process of complex calculations.
  3. Exploration of mathematical concepts.
  4. Effective communication and presentation of data.

Libraries/Modules used

The python libraries/modules used are:

  • sympy
  • matplotlib
  • numpy
  • math

Structure of Notebooks

They have been written so that examples can be followed through the notebook, the student is expected to read the python cells (especially the comments) along with the markdown cells.

At the end of each notebook are questions. There will be cells below the question that the student is expected to modify and run to get the requested output.

The reason for the bundling of questions with examples in the same notebooks is so that functions can be written by instructors, who can then get students to call those functions to answer questions. This will allow instructors to patch any programming difficulties with an assistive function -- allowing students to focus on the mathematics, rather than the programming.

Links to binder

  1. Python Basics Binder

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Jupyter notebooks for teaching undergraduate students in Engineering/Science how to utilise Python for checking, plotting and validating their calculations.

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