EECE 503 - Data-Driven Engineering

This course studies data-driven tools for engineering, including modeling, predicting, classifying, and controlling complex systems. Topics include dimensionality reduction and transforms, such as singular value decomposition, principal component analysis, Fourier and wavelet transforms, sparsity and compressed sensing, machine learning and data analysis such as regression, clustering, and deep neural networks.

Prerequisites & Notes: EECE 501 and EECE 502.
Credits: 4
Grade Mode: Letter