Jupyter Lab Workshop and Lecture Series: Social Media, Data Analysis, & Cartograpy, WS 2023/24

Shortlink: https://tud.link/5vpd

Full Link: https://gitlab.hrz.tu-chemnitz.de/tud-ifk/jupyter_python_datascience

Shortlink to tag maps workshop: https://tud.link/gjkz

Link list discussion: https://kartographie.geo.tu-dresden.de/ad/jupyter_python_datascience/samples.html

These are the links to the two lectures from December 2023:

The two workshops will be available soon. Find the link to repository below.

HTML Versions of Notebooks

  1. 01_raw_intro.html
  2. 02_hll_intro.html
  3. 03_tagmaps.html
  4. 04_topic_classification.html

Live questionnaire (slido)

It was the first time I tested interactive voting live in the lecture via slido.com, integrated into web slides. It worked well. One of the advantages was that the questionnaire was anonymous. Students would take a photograph of the QR-Code from the projector and answer through their phones, without providing a name. Almost all participated! (unlike, e.g., when asking students directly)

I asked how our international Mobile Cartography Students how they feel about the “Big Five”-Personality-Traits and how they would characterize Saxony. This was the result:

Not nice, but this is probably the reality..

A second question was how they used social media so far:

Later, I queried the students for writing prompts for ChatGPT and we compared the results for the different ways students phrased their prompts (prompt engeneering).

I was pretty happy - it was possible to engage all students, which is really difficult these days.