Algorithmic Foundations for Systems Certification

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Explores safe learning in automatic control systems, covering challenges, risk-sensitive control, and predictive safety filters.

Covers the basics of HCI, emphasizing usability, playfulness, and the importance of professional training in design.

Covers the process of creating a simple mosaic using a programming tool.

Explores challenges in designing systems with untrustworthy components, focusing on verification, control, and interaction in unreliable systems.

Covers the principles of prototyping and user experience design, emphasizing iterative processes and user feedback in creating effective solutions.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

Covers the computation of tracking performance and transfer functions in digital control systems.

Delves into the role of design in fostering creativity and innovation.

Covers the structure theorem for state-space representations and companion forms.