This course represents a comprehensive foundation for core ECE topics in signal processing, image analysis, machine learning, optimization and control. The lectures present concepts from linear algebra, such as matrix computations, systems of linear equations, eigenspace decomposition, inner-product, orthogonality, least-squares and linear regression. Students actively engage with the technical materials with an introduction to Python programming and associated hands-on sessions. The materials are be motivated by real-world scenarios ranging from medical imaging to autonomous vehicles, from (miscarriage of) justice to brain-machine interfaces, from music analysis to GPS design.
4
UnitsLetter
Grading1, 2, 3
PasstimeNone
Level LimitEngineering
College