Signals & Systems I: Uncertainty Relations and Gaussian Impulse

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By Prof. Bin Yu explores veridical data science, emphasizing responsible, reliable, and reproducible data analysis and decision-making.

Covers distributions, linear systems, impulse response, convolution, and examples of linear systems.

Covers the basics and applications of the Laplace transform in analyzing linear analog circuits.

Covers the engineering of systems for health, security, energy, and the environment.

Explores solutions and systems related to privacy in data analysis.

Explores the spectrum of consistency in distributed transactions, from strong to eventual consistency, and the trade-offs involved.

Introduces the Swiss Research Program focused on engineering multi-scale systems for health, security, energy, and the environment.

Covers information processing, systems making decisions, big data, and artificial intelligence.

Explores distributions, linear systems, impulse response, convolution operators, and causal systems in signals and systems.

Covers the definition and solution of linear equations with real coefficients in 2D and 3D space.