Imperial College London

ProfessorSimonSchultz

Faculty of EngineeringDepartment of Bioengineering

Professor of Neurotechnology
 
 
 
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Contact

 

+44 (0)20 7594 1533s.schultz Website

 
 
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Location

 

4.11Royal School of MinesSouth Kensington Campus

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Summary

 

Optical Imaging Techniques - BE9-MROIT

Aims

To introduce students to the basics of optical imaging techniques in bioengineering.

Role

Course Leader

Computational Methods Training - BE9-MRNCM

Aims

To provide students with training in various aspects of computational methods, including High-Performance Computing, Python, Deep Learning.

Role

Course Leader

Statistics and Data Analysis - BE9-MSTDA

Aims

 

For those who have NOT met probability & statistics before: to enable an understanding of the very basics of statistical analyses in common use in the biomedical engineering sciences, whilst at the same time, presenting a fresh view of statistical concepts. To those who have met statistics before: to give you some familiarity with the resources available for performing data and statistical analyses which typically enable more flexibility than is normally found in off-the-shelf packages, such as SPSS.

To provide you with pointers to relevant reading, reference and support material which allow you to increase your knowledge of probabilistic methods, statistics and data analysis.

To provide you with some basic practicals in Matlab in preparation for second-term courses and projects; includes analysing and plotting data in various ways.

Role

Lecturer

Computational Neuroscience - BE9-MCNS

Aims

 

  • To provide students with an introduction to Computational Neuroscience
  • To provide students with an appreciation of the role of computational and theoretical approaches to understanding the nervous system
  • To provide students with some practical skills, such as basics knowledge of MATLAB, of numerical tools to simulate models.

 

Role

Lecturer