Many students start PhDs at Curtin without even the most basic of computing and data skills. We collaborate with Software Carpentry and Data Carpentry to both teach basic lab skills and provide high-quality, domain-specific training covering the full lifecycle of data-driven research.
Software Carpentry‘s (SWC) mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, 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: The course is aimed at graduate students and researchers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop.
Content: We will be teaching introductions to the Unix shell, version control with Git as well as programming with R. For the syllabus and schedule see the workshop webpage.
When: Monday 23 & Tuesday 24 April 2018, 9am – 5pm