Academics / Courses / Course DescriptionsMECH_ENG 495: Applied Computational Intelligence for Engineering
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Prerequisites
Multivariate calculus, MATLAB, introductory knowledge of Python programming.Description
This course will introduce students to computational intelligence methodologies for converting scientific or engineering problems into data-driven optimization problems with solution obtained by training and/or solving using available data from mathematical scientific principles and auto differentiation. Materials, manufacturing, and multiphysics problems will be discussed and demonstrated, showing how large-scale problems in these fields can be reformulated using the new paradigm of deep-learning-based computations.
Project: Students must complete a final project. The proposal is due in the 5th week.
Homework: Four computer assignments related to the subject materials will be given.
Grading: Reading assignments (15%) + Homework (HW) (30%) + Midterm Project Proposal (20%) + Final project presentation and report (35%)
Prerequisites: Multivariate calculus, MATLAB, introductory knowledge of Python programming.
Course Syllabus