After the success of the 2018 event, we are pleased to announce the II Edition of the SRUK Scientific Computing Workshop!
Obtaining your research data is a long and difficult path. Therefore, being able to properly analyse these data is crucial to understand your results. If, at some point, you have thought about learning the basic programming skills to speed up your data analyses, this is the opportunity you have been looking for!
This 1-day long, hands-on event will guide you through your first steps of scientific computing: what it can be used for, what tools are out there to automate tasks, and the basic use of the terminal and of two of the most popular computer languages, R and Python.
– Basic Bash skills for beginners: the terminal is your friend!
– R and Python for data analysis. Learn the most powerful tools at your fingertips!
– Join other participants so you can solve as a team a series of exercises in the programming language you all prefer.
REQUIREMENTS TO ATTEND THE WORKSHOP
– Basic/beginner level: This event has been designed for those people who are motivated to get started into the programming world. Therefore, you should not attend this workshop if you have an intermediate/advanced programming level because you will not learn anything new. Attendance to this course is limited, so we would like that the available places can be filled by people without programming experience so they can have the chance to get themselves started.
– Your own laptop: We will use R and Python during the workshop, so we will need you have the corresponding software installed before the workshop. After the registration, we will help you to set up your laptop for the workshop. Note that this course is not limited to Linux users, as this software is available also for Windows and Mac! Either if you use Ubuntu, Mac OS X, or Windows, if you are eager to start your path in programming, this course is for you!
WHERE AND WHEN
WHEN: Saturday, 9th March 2019, 9.30h-17h
WHERE: IOE (Institute of Education), 20 Bedford Way, Room 728, University College London, WC1H 0AL