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EngineersCode

A collection of learning modules in engineering computations

Copy of EngComp

A collection of learning modules on computing for engineering and science students

Project lead: Prof. Lorena A. Barba

Professor Barba developed a two-course series in engineering computations at the George Washington University (courses MAE-1117 and MAE-2117). The materials for those courses are written in a modular fashion, and consist of five self-contained modules that can be individually adopted by other instructors. This GitHub organization hosts the original modules in engineering computations, plus new work-in-progress advanced modules.

Popular repositories

  1. EngComp4_landlinear EngComp4_landlinear Public

    Using computational thinking to get deep insights on the foundations of linear algebra

    Jupyter Notebook 112 72

  2. EngComp EngComp Public

    A set of learning modules in computing for engineering undergraduate students.

    CSS 87 38

  3. EngComp1_offtheground EngComp1_offtheground Public

    Learn to interact with Python and handle data with Python. Join the online course!

    Jupyter Notebook 25 26

  4. EngComp2_takeoff EngComp2_takeoff Public

    Hands-on data analysis using a computational approach and real-life applications.

    Jupyter Notebook 15 12

  5. EngComp3_tourdynamics EngComp3_tourdynamics Public

    Tour of the dynamics of change and motion using computational thinking with Python

    Jupyter Notebook 13 8

  6. EngComp6_deeplearning EngComp6_deeplearning Public

    A step-by-step introduction to deep learning (a.k.a. neural network) models for scientists and engineers.

    Jupyter Notebook 10 5

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