Digitalization: Industries and Urban Infrastructures

Related lectures (32)

Page 3 of 4

Examines cities as socio-technical systems and their implications on urban management and governance, emphasizing feedback loops and complexity.

Introduces the basics of finite element modeling for dynamics and discusses the Newmark method for time integration.

Covers the derivation of the equation of motion, interpolation, Newton's equation, and energy conservation in finite element modeling.

Covers the Finite Element Method, discussing the derivation of the equation of motion and exploring mass and stiffness matrices.

Covers the main dimensions of urban infrastructure systems, exploring primary infrastructures, sustainability, resilience, and efficiency.

Delves into solving the XOR problem using a two-layer neural network.

Covers advanced numerical analysis topics including deep neural networks and optimization methods.

Covers the Runge-Kutta method and its variations, discussing error minimization and stability in non-linear systems.

Explores optimization and approximation in deep neural networks, including optimal control and numerical experiments.

Covers the precise description of the relative positioning of objects in space.