Centre for Mathematical Sciences
Big Data course
Monday 8 April to Friday 12 April 2019
1.30pm to 5.30pm
University of Plymouth, Smeaton Building, Room 306, Plymouth, PL4 8AA
Run by the Centre of Mathematical Sciences at the University of Plymouth at the University of Plymouth, and supported by the Environmental Futures of Big Data Impact Lab.
Check the Centre of Mathematical Sciences at the University of Plymouth website for more information.
Calling all researchers and businesses working with big data.
- Find out more about big data techniques and the algorithmic approach
- Engage with disruptive methodologies in your research or practitioner work
- Run these methodologies on the University’s high performance computer facilities
- Take smarter decisions and optimise your processes to gain a competitive advantage
Five advanced level afternoon workshops take place over a week to give you a sound understanding of various topics related to the big data analysis techniques.
Course dates
All sessions take place from 1.30pm to 5.30pm in the Smeaton Building, Room 306 at the University of Plymouth on:
- Monday 8 April 2019
- Tuesday 9 April 2019
- Wednesday 10 April 2019
- Thursday 11 April 2019
- Friday 12 April 2019
It is mandatory that you are able to attend all workshops.
Minimum requirements
- Computer familiarity (ideally Python, R, RStudio)
- Basic algebra
- Multi-variant Gaussian process distribution
- Appreciation of combinatorial/optimisation problems
Cost of course
This course is subsidised by The Environment Futures and Big Data Impact Lab for University of Plymouth staff and students, those working with the Impact Lab and Devon-based Small to Medium Sized Enterprises.
