Demystifying Maths and Statistics for Bioscientists
National Horizons Centre, Darlington
Dates TBC
£POA
Contact CPDNHC@Tees.ac.uk for more information
For many who are faced with a problem that requires the use of maths and stats it becomes an insurmountable hurdle. In many instances this arises from teaching maths and stats out of context and a failure to utilise latest technology. With a broad awareness of the solution approach and exposure to the latest software tools, the fear can be overcome and significant advances made.
This course aims to teach the essential maths and stats tools and concepts that will enable research students and industrial practitioners to make a rapid impact in their chosen research area. By placing the material in context of industrial and scientific needs, it will enable the participants to appreciate the sources of data and why the specific maths and stats approaches are required. It will build on foundations gained at an undergraduate level and provide attendees a focused treatment of applied maths and stats using practical examples rather than through exhaustive theorems. Active participation through case studies will re-inforce the understanding of the basic principles and the industrial/scientific relevance of the methods.
The course covers:
A scene setting demonstrating industrial potential
An overview of design of experiments methods
A review of statistical data analysis
Data gathering, processing and visualisation
Multivariate data analysis for continuous and batch systems
Digital twin methods and the opportunities they provide
Introduction to Python as a data analysis tool
An overview of bioinformatics tools
Looking to the future: AI opportunities
Who should attend?
This course will be of interest to anyone from indusrty or academia seeking to better understand and apply statistical and mathematical methods in their work.