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SUMMARY:An overview of programming languages ST-LE-2026-11
DTSTART:20260416T080000Z
DTEND:20260416T100000Z
DTSTAMP:20260513T090100Z
UID:indico-event-106@events.gfbio.org
CONTACT:data-train@vw.uni-bremen.de\;+49 (421) 218 60043
DESCRIPTION:Speakers: Christoph Lüth (Deutsches Forschungszentrum für K
 ünstliche Intelligenz)\n\nMotivation \nProgramming is the essential tool
  for managing data sets and conducting data science methods. Handling huge
  data sets manually is impossible\, so we can only prepare\, curate\, anal
 yze and evaluate them by programmable means. In addition\, programming is 
 crucial for documenting\, creating graphical output\, and presenting resul
 ts (e.g.\, on the web). In order to write programs\, we need to a programm
 ing language – but what is that?\nLearning contents \n\nWhat is a progr
 amming language\, actually?\nWhat characterizes a programming language and
  what is it for?\nWhy is HTML not a programming language and what has Turi
 ng to do with it?\n\n \nApproximately 700 programming languages exist –
  so how can we keep an overview? We learn to distinguish languages from th
 eir degree of abstraction and programming paradigm (imperative\, procedura
 l\, object-oriented\, functional\, logical\, …)\, or their area of appli
 cation. Further\, we talk about how to choose the appropriate language for
  the task at hand\, which programming languages you should know\, and see 
 some of them briefly presented in this course.\nLearning objectives \nOve
 rview about programming languages\, their features\, significance and crit
 eria for distinction.\nPrior knowledge\nWhile advanced programming skills 
 are not required to attend the lecture\, Prof. Lüth has included some sma
 ll programming exercises where a laptop with a programming environment wou
 ld be helpful.\nIf you do not have any programming environment (e.g. Pytho
 n\, R\, Rstudio\, etc.) installed on your computer\, you can use web-based
  options:  For example\, participants with access to the Uni Bremen ZfN S
 ervices can use the Uni Bremen JupyterHub. Alternatively\, participants fr
 om Germany can use the NFDI JupyterHub. \nFurther reading\n---\n\nhttps:/
 /events.gfbio.org/event/106/
LOCATION:Zoom
URL:https://events.gfbio.org/event/106/
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