Open Course Materials - Cullen College of Engineering

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This community gathers openly licensed course materials generated by instructors in the Cullen College of Engineering at University of Houston

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    Computer Labs on Machine Learning
    (2023-12) Wen, Mingjian
    This is a collection of self-consistent Jupyter notebooks introducing basic Python programming and applied machine learning for chemical and materials sciences.
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    Scientific Computing for Mechanical Engineering: Fundamentals of Numerical Methods
    (2021-06-17) Prosperetti, Andrea
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. These lecture notes provide an introduction to scientific computing focusing mostly on the numerical solution of partial differential equations of the elliptic, parabolic and hyperbolic types by finite-difference methods. After an introduction to finite-precision numerics and numerical differentiation, the focus is on elliptic equations and the solution of linear algebraic systems. Next, the presentation of methods for parabolic and hyperbolic equations includes the notion of stability and methods for its analysis. Short introductions to methods for ordinary differential equations, weighted-residual methods and verification and validation are also provided.