Requirements for obtaining the course credit

Six mandatory homework assignments must be completed and approved by the end of the term.

HW #1

HW #2

  • Assignment date: March 7, 2023
  • Task: Create a simple Tableau dashboard about the Titanic tragedy and incorporate spreadsheets you have made as HW1.HomeworkMazonNPFL134.pdf
  • Due date: March 25, 2023
  • Contact person: Silvie Cinková at cinkova@ufal.mff.cuni.cz

HW #3

  • Assignment date: March 14, 2023
  • Task: Transcribe hand written documents, details sent via e-mail
  • Due date: March 21, 2023
  • Contact person: Jiří Mírovský at mirovsky@ufal.mff.cuni.cz

HW #4

  • Assignment date: March 28, 2023
  • Task: Come up with your own research question on top of a TeiTOK corpus (either Mazon collection or Migrant stories) and present both the corpus queries and the research question results in Tableau (click here for detailed hw assignment)
  • Due date: April 11, 2023
  • Contact person: Jiří Mírovský at mirovsky@ufal.mff.cuni.cz

HW #5

  • Assignment date: April 4, 2023
  • Task: pdf (p. 37)
  • Due date:  April 10, 2023
  • Contact person: Martin Hájek at martin.hajek@fsv.cuni.cz

HW #6

FINAL PRESENTATION

  • Assignment date: 2022-03-21
  • Task: your recorded presentation with Tableau 10-30 min. Present a Tableau data story about a research question or project using at least one work sheet (a spreadsheet with a  visualization, which can as well be a table!) and two dashboards bound in a Data Story. Pick a data set from this course and/or reuse your home work assignments on Titanic, or present us your own research (e.g. preparation of your bachelor/master paper). Do your best to use as many Tableau features as possible: filters, diverse plots, whatever you manage to learn. Feel free to use additional material such as our presentations, external images, video or audio files, whatever you find. (observe copyrights and mind to give credits and quote authors correctly - that is your individual responsibility!) . Your presentation must have two distinctive parts, which, however do not have to be equally long:
    1. your actual topic
    2. explain how you did it in Tableau (teach someone else how to reproduce your Tableau Data Story, try to show some more advanced features of Tableau)

You do not have to be visible in the video and can of course read your presentation, not pretending free speech.  But both features are welcome!!!

  • Due date: 2022-05-03
  • Contact person: Silvie Cinková