Teaching Bayesian analysis
Course materials

Data visualization and introduction to Bayesian data analysis for journalism studies

Sum of the points (27.06)

The linked file contains a summary of the points you have collected from all the paths. Thank you for your hard work and commitment! Please let us know if you spot any errors.

Project

The details of your project along with the project template can be download from the link below. All the deadlines are visible in our calendar. Deadlines and the template:

1st deadline - 28 May
1st Rev - 4 June
2nd deadline - 11 June
2nd Rev - 18 June
Final deadline - 25 June
Grade - 30 June

Additional exercises

Lectures

You can download combined lectures here: Combined Slides

First tutorial

After completing the initial steps described below (First things first), you’re ready to download your first tutorial materials! Yay!

https://rfl-urbaniak.github.io/teaching/tutorials/vis23/vis23t1.zip

First things first

Before we meet, please familiarize yourself with the initial setup/learning instructions, available at:

https://rfl-urbaniak.github.io/teaching/shared/rinstructions.html

Moreover, our class dates and locations will be available in the following Google Calendar:

https://calendar.google.com/calendar/u/0?cid=a2UxNjUxZHBjM29sNWw2MnYyYzBtODlwMWtAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ

The calendar can be also found at our main website: https://rfl-urbaniak.github.io/teaching/

Watch out, it’s not in a final form yet, we’re still polishing some bits with administration, we’ll let you know when it’s in a finally acceptable form.

Let us know if you have any questions: rfl.urbaniak+teaching@gmail.com