Introduction to Physics: Experimental Demonstrations

Related lectures (32)

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Covers the application of continuous-time stochastic processes to the calculation of the error rate of a PAM signal.

Covers a simple mathematical model for supervised learning with k-nearest neighbors in regression.

Covers the navigation equation for attitude determination and the process of choosing a suitable solution.

Explores replica symmetry and educated guessing in mathematical models.

Discusses data representation through models and systems, covering mathematical models, data structures, levels of modeling, and managing data.

Explores the control of a Furuta pendulum and its application to complex electromechanical systems.

Explores historical perspective, vectors, kinematics, and mathematical modeling of physical systems.

Explores involutes and Bezier curves, essential in computer-aided design.

Discusses correcting errors in measurements through mathematical expressions and optimization techniques.

Explores soil hydraulic conductivity, water transfers, and plant root extraction modeling.