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Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment existing formal courses. Topics and prerequisites vary for each section. See Class Schedule or departmental course information for both. Course Information: May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.

This course covers the use of generative models for design synthesis and optimization. Topics covered include optimization theory and problem formulation, autoencoding deep neural architectures, as well as the testing and validation of generated design results via model-based simulation. Pre-Requisites: AE 498 Data-Driven Modeling and Optimization