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DTSTAMP:20260618T105110Z
UID:7557baaa-98c1-4130-a861-9345486397e1
DTSTART:20250908T070000Z
DTEND:20250912T150000Z
DESCRIPTION:This course will provide researchers with computational tools t
 o address their research questions in new or more efficient and reproducib
 le ways. The course is aimed at novices and no previous programming knowle
 dge is required. The course follows the Software Carpentry teaching concep
 t and lessons.\nCourse content\n\nSoftware Carpentry aims to help research
 ers get their work done in less time and with less pain by teaching them b
 asic research computing skills. This course will cover the following lesso
 ns:\n\n    UNIX Shell: Learn to  use the terminal to handle a large amount
  of files more efficiently and other useful skills which can support basic
  programming skills.\n    R for reproducible scientific analysis: R is nor
 mally described as a useful programming language used as a tool for statis
 tical analyses\, but can also do much more. *\n    Plotting and Programmin
 g in Python: Python is the most ubiquitous programming languages of today 
 and is a typical first language taught for beginners. *\n    Version Contr
 ol with Git: Share files with your peers more efficiently\, and learn to "
 travel back in time" to previous versions of your own code with Git.\n    
 Using Databases and SQL: With SQL\, you will learn to handle and index lar
 ge amounts of data.\n    Research Data Management (RDM): We are all dealin
 g with data in our research. This module is about organizing\, storing\, a
 nd sharing research data effectively\, with a focus on Findability\, Acces
 sibility\, Interoperability\, and Reproducibility (FAIR).
LOCATION:The Humanities Library\, Haakon Sheteligs plass 7 (Seminar room 1\
 , 1. Floor)
SUMMARY:Software Carpentry course
URL;VALUE=URI:https://kjemist.github.io/2025-09-08-UiB-SWC/
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