Materials for our workshop in Sofia, Bulgaria, October 2018
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README.md

Course venue

Sofia, Bulgaria, SoHo, 8-11 October 2018 (daily start at 09:30)

SOHO –Sofia Holistic Coworking Company

Practicalities course

As mentioned on the course website, we suggest users who haven’t used R before to complete the data camp: intro course into R. We won’t have computer facilities available so you should bring an own laptop. Please install:

  • R (version 3.5.1)
  • Rstudio (version 1.1.456 or greater)

Agenda

2018-10-08 (Monday)

This will focus on introductions to R, reproducible research, and descriptive analysis using a case study of gastroenteritis from Copenhagen.

  • 09:00--09:30 Registration
  • 09:40--10:00 Introductions and welcome
  • 10:00--11:00 Lecture “Epi refresher”
  • 11:00--11:15 Coffee break
  • 11:15--12:30 Lecture “Introduction to R”
  • 12:30--13:30 Lunch
  • 13:30--15:15 Practical (Case study 1)
  • 15:15--15:30 Coffee break
  • 15:30--17:00 Practical (Case study 1)

2018-10-09 (Tuesday)

This day will allow the students to use the tools they learned from day 1 to hone their skills at descriptive, single-variable, and multi-variable analysis with a case study of gastronenteritis from Stegen, Germany.

  • 09:00--09:30 Recap of previous day, Expectations
  • 09:30--10:45 Lecture “Good data science practices”
  • 10:45--11:00 Coffee break
  • 11:00--12:30 Lecture “Reproducibility using R”
  • 12:30--13:30 Lunch
  • 13:30--15:15 Practical (Case study 2)
  • 15:15--15:30 Coffee break
  • 15:30--17:00 Practical (Case study 2)

2018-10-10 (Wednesday)

Here, we will focus on early outbreak assessment using a simulated case study of Ebola.

  • 09:00--09:30 Recap of previous day, Expectations
  • 09:30--10:45 Lecture “Stats primer for outbreak response”
  • 10:45--11:00 Coffee break
  • 11:00--12:30 Lecture “Stats primer for outbreak response”
  • 12:30--13:30 Lunch
  • 13:30--15:15 Practical “Simulated Ebola response”
  • 15:15--15:30 Coffee break
  • 15:30--17:00 Practical “Simulated Ebola response”

2018-10-11 (Thursday)

BRING YOUR OWN DATA. Today you will use the skills developed and honed over the last three days to analyze your own data reproducibly in R. During this time, the facilitators will be around to answer any questions you may have and lead pop-up demonstrations to reinforce concepts.

  • 09:00--09:30 Recap of previous day, Expectations
  • 09:30--10:45 Data exploration/analysis/questions
  • 10:45--11:00 Coffee break
  • 11:00--12:30 Data exploration/analysis/questions
  • 12:30--13:30 Lunch
  • 13:30--15:00 Data exploration/analysis/questions
  • 15:00--16:00 Discussion: course evaluations (digital and verbal feedback)