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A beginner's guide to MatLab for Behaviour Scientists (B)

The session will include an overview of the basic structure of Matlab. Within the session, participants will learn how to load data from an excel or txt file, manipulate data within Matlab, conduct basic signal processing, find out how to generate and execute novel and bespoke scripts for specific purposes, compile processed data into a matrix/database, and export this data in a txt/excel file. There will also be information about useful resources participants can use to access support for their continued self-guided training in Matlab, and access to existing scripts for specific processes (such as filters) from the online Matlab community.

Aimed at

Compulsory for all first year Life Sciences PhD students from The College of Health & Life Sciences, and optional for all other PhD students from The College of Health & Life Sciences

Presented by

Dr Will Young

Key learning outcomes

By the end of this session, learners will be informed about:

  • how to load data from an Excel or txt file
  • how to manipulate data within Matlab
  • howt o conduct basic signalling processing
  • how to generate and execute novel and despoke scripts for specific purposes
  • how to compile processed data into a matrix / database and export this data in a txt / excel file
  • useful resources available for self-guided training in Matlab
  • how to access existing scripts for specific processes from the online Matlab community

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Brunel 3D Development Tool

Develops the following:

Skills needed to do your research and career

Skills needed to develop your research and career

Researcher Development Framework (RDF) Competencies

Develops skills relevant to the following domains of the RDF:

This workshop is provided by

College of Health and Life Sciences