Imperial College London

DrPeterHuthwaite

Faculty of EngineeringDepartment of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

p.huthwaite Website

 
 
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Location

 

566City and Guilds BuildingSouth Kensington Campus

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Summary

 

Machine Learning - MECH97092

Aims

This module aims to introduce engineering students to Machine Learning (ML). ML is an increasingly high-profile technology, having huge impact across a number of areas. Future engineers are likely to come across ML in some form in their careers; they could be required to solve problems where ML may provide a solution, or may have to assess an existing ML approach which has been developed. This course therefore aims to provide today's engineering graduates with an understanding of ML techniques, including being able to critically assess whether or not ML is suitable for a problem, as well as what type of algorithm would be best and what may be required to implement it. 

Role

Course Leader

Mechanics - MECH40009

Aims

This module aims to provide students with the ability to derive, from first principles, mathematical descriptions of mechanics applications and to use these descriptions to solve a wide range of mechanics problems.

ECTS units: 5

 

Role

Associate Course Leader

Machine Learning - MECH70025

Aims

This module aims to introduce engineering students to Machine Learning (ML). ML is an increasingly high-profile technology, having huge impact across a number of areas. Future engineers are likely to come across ML in some form in their careers; they could be required to solve problems where ML may provide a solution, or may have to assess an existing ML approach which has been developed. This course therefore aims to provide today's engineering graduates with an understanding of ML techniques, including being able to critically assess whether or not ML is suitable for a problem, as well as what type of algorithm would be best and what may be required to implement it. 

Role

Course Leader