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MECH_ENG 395: Deep learning Discrete Calculus for Engineering Applications

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Prerequisites

Students need to know multivariate calculus, MATLAB and have an introductory knowledge on Python Programming.

Description

Deep-Learning Discrete Calculus (DLDC) is an emerging field that integrates calculus, numerical methods, machine and deep learning algorithms to identify, model, and solve mathematical science systems governed by differential equations with uncertain parameters. In this class, student will learn to generate the essential data, apply the deep learning discretization of ordinary and partial differential equations, and reveal the unknown governing parameters and solutions of a variety of daily life and engineering problems.