Material Detail

Complete materials for a five-week intensive undergraduate scientific computing / numerical methods course taught at Texas Tech University. Includes inquiry-based Jupyter/Colab lecture notebooks, pencil-and-paper worksheets, homework, three applied projects (root-finding game physics, the heat equation solved by LU/QR/iteration, and a reproducible capstone), auto-generated quizzes in text2qti/QTI format, Kahoot and TopHat review activities, and interactive browser demos. Topics: floating-point arithmetic and error, Taylor approximation, root finding, numerical differentiation and integration, numerical linear algebra, ODEs (Euler, midpoint, RK4), and PDEs. Built around Eric Sullivan's open-access textbook Numerical Methods: An Inquiry-Based Approach with Python. All materials are generated from source by a reproducible Python pipeline that other instructors can adapt.

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