Imperial College London

Luca Magri

Faculty of EngineeringDepartment of Aeronautics

Reader in Data-Driven Fluid Mechanics
 
 
 
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Contact

 

l.magri Website

 
 
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Location

 

CAGB324City and Guilds BuildingSouth Kensington Campus

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Summary

 

Artificial Intelligence for Aerospace Engineers - AERO70026 / 97081

Aims

This course introduces the most popular Machine Learning and AI algorithms used in the Aerospace research and industry. Building on basic knowledge of MATLAB and Python as well as Linear Algebra, students gain both theoretical and practical understanding of AI models such as Deep Neural Networks or Unsupervised Learning algorithms. Course assignments give students familiarity with programming in TensorFlow Keras and proficiency in designing, training and optimization of their own AI models. 

Role

Course Leader

Artificial Intelligence for Aerospace Engineers - MSc AERO70026

Aims

This course introduces the most popular Machine Learning and AI algorithms used in the Aerospace research and industry. Building on basic knowledge of MATLAB and Python as well as Linear Algebra, students gain both theoretical and practical understanding of AI models such as Deep Neural Networks or Unsupervised Learning algorithms. Course assignments give students familiarity with programming in TensorFlow Keras and proficiency in designing, training and optimization of their own AI models. 

Role

Course Leader