Smart Cities: Data and AI

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Related lectures (30)

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African Cities: Urban Planning Introduction

Introduces urban planning in African cities through data collection methods and statistical analysis from INS Congo Brazzaville.

Optimization and Simulation

Explores statistical analysis, mean square error, and bootstrapping methods in optimization and simulation.

Orchestration Graphs: Learning with Simulations

Explores orchestration graphs for enhancing learning with simulations and the importance of consolidating knowledge through practice.

EW-MFA at a canton level

Explores EW-MFA at a canton level, covering data collection, import/export, emissions, waste management, and resources productivity.

VHDL for Simulation & Testbenches

Explores VHDL for simulation, debugging, time modeling, event-based simulation, and testbench creation in digital system design.

Indicators for Urban Sustainability

Explores the significance of indicators in evaluating urban sustainability and the challenges in selecting suitable ones, using MONET and 'Cercle Indicateurs' in Switzerland as examples.

Smart Cities: Governance and Infrastructure

Delves into smart city governance, emphasizing citizen's needs over technology, and discusses challenges and real examples of digitalization impact.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Optimization and Simulation

Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.

Management of Fever in Children: Measurement and Examples

Explores the measurement and operationalization of outcomes in managing fever in children under five through examples and data collection approaches.