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This online lecture gives an introduction to the concepts of machine learning. (Some math and programming experience required.)
This online course covers system identification. It includes eg. Introduction to modeling: Black-box and grey-box models; Parametric and non-parametric models; ARX, ARMAX (etc.)...
This online lecture gives an introduction to computer architecture. It explores in great detail how computers are designed.
This online lecture series presents the theory of fundamental machine learning concepts. Topics covered in the video lectures include: Bayesian theory of optimal decisions...
This series of online lectures discusses the fundamental concepts of communication networks, with a focus on computer networking. Participants will learn to identify relevant...
This online lecture explores the basics of digital circuits.
This course covers modeling, analysis, and design of distributed control systems. Distributed control systems include large-scale physical systems, engineered multi-agent...
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