University of Utrecht

3 - 4 April, 2018

9.00 - 17.00

Instructors: Marieke Dirksen, Dennis Schmitz, Sam Nooij, Anita Schürch

Helpers: TBD

General Information

Data Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including data management, data visualization and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".

Who: This workshop is part of the Microbial Genomics (B-MCMIGE) course of the bioinformatics profile of the University of Utrecht. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Z-509, Hugo R. Kruijtgebouw, Padualaan 8, 3584CH Utrecht. Get directions with OpenStreetMap or Google Maps.

When: 3 - 4 April, 2018 . Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed here). They are also required to abide by Data Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email a.c.schurch@umcutrecht.nl for more information.


Schedule

Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

Course Schedule

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Syllabus

Course Schedule