06.10.2025 || Room D 1.01 || 09:00 - 16:30
Introduction to Data Visualisation
- 09:00 - 12:00 Introduction round (10 min each)
- 13:30 - 16:30 Introduction to Data Visualisation Module
Slides
07.10.2025 || Room D 6.04 || 09:00 - 16:30
Introduction to Data in Machine Learning
- 09:00 - 12:30 Datasets, Bias, and Ownership
- 13:30 - 16:30 The Fundamentals of Machine Learning
Slides
13.10.2025 || Atelier || 09:00 - 16:30
Individual Work Day
Reader
14.10.2025 || Room A 2.13|| 09:00 - 16:00
The Atlas of AI: Critical Foundations
- 09:00 - 12:30 Knowledge extractivism, Feedback Loops, Automation of Labor
- 13:30 - 15:00 Hyper-Local Data Walk
- 15:00 - 16:00 Visualising Data using PixPlot library
Links
20.10.2025 || Atelier || 09:00 - 16:30
Individual Work Day
Prepare
Collect 20 to 30 images that you would use a training data to train LoRa model.
- Make sure that the images:
- Have a cohesive visual style e.x. similar colors, composition, mood, or aesthetic
- Are in high enough quality to analyze visual features
- Use `.jpg`, `.jpeg`, or `.png` format
- Are resized to max. 2048 px (either in width or in height)
- Good examples:
- 30 illustration with similar shading, linework and style e.x. doodles
- 30 architectural photos of e.g., the same building, the same architect
- 30 images of the clothes from the same fashion brand
Reader
21.10.2025 || Room A 2.09 || 09:00 - 16:30
Image Model Training
- 09:00 - 09:30 Individual Project Introduction
- 09:30 - 10:00 The Art of Data Poisoning
- How tools like Nightshade/Glaze corrupt model understanding? Did they work at all?
- Training LoRa with "poisoned" datasets
- 10:00 - 16:30 Individual Project
27.10.2025 || Room A 3.08.1 || 09:00 - 16:30
Friendly Machine Learning for the Web
- 09:00 - 16:30 Working with p5.js and ml5.js models
Prerequisites
- Install Visual Studio Code
- Inside of VS Code, install the Live Server and p5.vscode extensions.
Links
28.10.2025 || Room A 3.08.1 || 09:00 - 16:30
Friendly Machine Learning for the Web (continued)
- 09:30 - 16:30 Building interactive web experiences with p5.js and ml5.j (cont)
10.11.2025 || Atelier || 09:00 - 16:30
Individual Work Day
11.11.2025 || Room D 1.03 || 09:00 - 16:30
Visualizing Data in TouchDesigner
- 09:00 - 12:30 Introduction to TouchDesigner (TOPS, CHOPS and SOPS)
- 13:30 - 16:00 Importing images, movies and working with DATs
- 16:00 - 16:30 Main Project Kick-Off
Links
17.11.2025 || Atelier || 09:00 - 16:30
Individual Work Day
Prerequisites
- Download MediaPipe plugin by clicking the green “Download latest release” button
- Intro do MediaPipe by Torin Blankensmith
- Feedback in TouchDesigner
18.11.2025 || Room D 1.02 || 09:00 - 16:30
Visualizing Data in TouchDesigner Part 2
- 09:00 - 16:30 Using MediaPipe Plugin: Body as as an interface to navigate data
Links
24.11.2025 || Atelier || 09:00 - 16:30
Main Project Work Day
25.11.2025 || Atelier || 09:00 - 16:30
Main Project Work Day
01.12.2025 || Atelier || 09:00 - 16:30
Main Project Mentorings
- 09:00 - 16:30 Mentorings
02.12.2025 || Room A 3.08.2 || 09:00 - 16:30
Main Project: Concept Presentation
- 09:00 - 12:30 Group Work
- 13:30 - 16:30 Concept Presentations
- 13:30 - 13:50 Group 7: Anna, Angela
- 13:50 - 14:10 Group 2: Taylor
- 14:10 - 14:30 Group 5: Nik, Sofia
- 14:30 - 14:50 Group 1: Lukas, Robin
- break
- 15:10 - 15:30 Group 3: Senem, Amélie
- 15:30 - 15:50 Group 4: Nicolas, Oliver
- 15:50 - 16:10 Group 6: Laurel, Lily, Ming
08.12.2025 || Atelier || 09:00 - 16:30
Main Project Work Day
09.12.2025 || Room A 3.08.2 || 09:00 - 16:30
Main Project Mentorings
- 09:00 - 16:30 Mentorings
15.12.2025 || Room D 1.02 || 09:00 - 16:30
Mid-Point Check-in
- 09:00 - 16:30 Troubleshooting and Mentorings
16.12.2025 || Atelier || 09:00 - 16:30
Main Project Work Day
05.01.2026 || Room D 1.02 || 09:00 - 16:30
Optional Mentorings (TBD)
06.01.2026 || Room D 2.01 || 09:00 - 16:30
Final Presentations
- 09:00 - 12:00 Room preparation
- 13:30 - 16:30 Final Presentations
12.01.2026 || Atelier || 09:00 - 16:30
Project Documentation
- Final day for project documentation work