Tidligere kurs - Side 7
Would you like to improve your skills and knowledge in English for academic purposes?
Have you ever returned to an analysis in R and can’t remember which scripts you need to run and in what order to make things work? Do you want to speed up your analyses with parallelization? Do you want to ensure other people can run your code? The {targets} R package can help!
This course is designed for PhD Candidates and others who need a deeper knowledge, and advanced skills in literature searching within medicine and health sciences. It focuses on useful tools for building search strategies and advanced search techniques. Several relevant databases are highlighted.
The moment is here: you know your topic in and out, have read all the literature and are just one click away from finishing your essay! Maybe you’re lucky and have never seen the Bluescreen of Death, experienced file corruption, stared at the blank screen in rising panic because your brain was empty or written an essay that broke Microsoft Word. In which case, congratulations!
Then again, maybe you are still one of those people who just scribble down ideas and potentially useful literature references on whatever piece of paper is closest. Maybe you’ve spent hours trying to hunt down “Smith 2001, p 24” only to delete that really relevant quote from your essay because you don’t fancy being accused of plagiarising. Maybe Word keeps on messing with the images in your file or decided that your file is too big and corrupted too. In any of these cases, welcome to the club – this course is for you.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.
In this workshop, you will receive a practical and hands-on demonstration of image recognition using machine learning in Python and the opportunity to try it yourself, with assistance from the instructor.
P? denne workshopen f?r du en praktisk og hands-on demonstrasjon av maskinl?ring i Python og mulighet til ? pr?ve selv, med hjelp fra instrukt?r.
This course is designed for PhD Candidates and others who need a deeper knowledge, and advanced skills in literature searching within medicine and health sciences. It focuses on useful tools for building search strategies and advanced search techniques. Several relevant databases are highlighted.
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills.
There are lots of data out there to find and reuse. In this course we will introduce you to the concept of data discovery and show you the basics of how to work with secondary data.
Are you keen on sharing your research data? Or does your publisher or funder require that your dataset is available?
Join us for this practical and interactive workshop on writing data management plans (DMPs) and learn how to create a DMP for your research project!
Software Carpentry offers workshops for fundamental coding and data skills needed to conduct research.
Learn about what copyright is, who owns data, and what types of licenses we can use for research data.
In this course we will introduce you to the UiO Data Classification and Data Storage guides.
Join us for this practical and interactive workshop on writing data management plans (DMPs) and learn how to create a DMP for your research project!
Learn about best practices for data organization and documentation.
Get started with data management planning for your research!
What is research data management and why is it increasingly important?
This course is designed for PhD Candidates and others who need a deeper knowledge, and advanced skills in literature searching within medicine and health sciences. It focuses on useful tools for building search strategies and advanced search techniques. Several relevant databases are highlighted.
Dette er en workshop i bruk av de nye tekstutvinningsappene utviklet av DH-Lab p? Nasjonalbiblioteket.
In this workshop we will make use of, and expand our collective knowledge of the Unix shell by sharing commands, shortcuts, etc. amongst the participants.
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.
Do you want, or need, to learn Python programming for your research, but have no, or little, previous knowledge? Do you want to refresh your basic skills in Python programming? Or, do you want your team members to learn Python? If yes, then this workshop is for you and/or your team!
Learn about different tools, platforms and services to share your research and other contributions, and how you utilise them to make yourself and your work more visible to the academic community and the society at large.