Summer School Program

Here you can find information about the tutorials and program you can look forward to during the summer school. Please note, that the tutorials will be hands-on and we strongly recommend you to bring your own notebook, as technical equipment will not be provided.


Tentative schedule:

09:00 - 12:00 ParaView tutorial
12:00 - 13:00 Lunch Break Note: Selforganized, food is not provided
13:00 - 16:00 Orange for Biomedical Data Analysis

Venue:

The summer school will be held at the University of Ljubljana, Faculty of Computer and Information Science (FRI). Situated in a modern academic complex at Večna pot 113, the faculty shares its location with the Faculty of Chemistry and Chemical Technology, while the Biotechnical Faculty lies just across the street. The building, completed in 2014, offers a contemporary setting defined by its open architecture and distinctive glass façade.
campus
The venue is located in a green area approximately 3 km from the city center, right next to the Ljubljana Zoo and the slopes of Rožnik Hill. It is connected to the city by a dedicated walking and cycling path that runs along the road, passing the Tivoli Park, making for a nice morning walk.

For detailed instructions on how to reach the faculty using public transport or car, please visit the official How to reach FRI page. You can also view the exact locations by clicking on the map below.
map

Program:

ParaView tutorial
Time: 3 hours
Thomas Theußl

paraview
Abstract: In this tutorial, tailored towards beginners with little to no previous experience, we will introduce ParaView, a highly-scalable, open-source, multi-platform data analysis and visualization application built on top of VTK, the Visualization Toolkit. ParaView users can quickly create visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D. Attendees will participate in a hands-on session working with ParaView to create 3D visualizations of scientific datasets.

Thomas Theußl is with Consivi KG in Deutschlandsberg, Austria, which he founded in 2025, offering consulting, support, and development in scientific visualization. His research interests include visualization techniques, mathematical foundations of visualization, and applications of visualization. Theußl received his Master's degree in Computer Science from TU Wien in Austria. He has published tutorials on ParaView and Avizo on YouTube. Contact him at thomas.theussl@consivi.com.
Orange for Biomedical Data Analysis: From Visual Analytics Workflows to Interactive Communication
Time: 3 hours
Ajda Pretnar Žagar, Ela Praznik, Jaka Kokošar, Matej Bevec

orange
Abstract: This hands-on workshop introduces Orange Data Mining as a visual programming environment for biomedical data analysis, starting with the basics of visual programming and workflow design and progressing to practical biomedical data analysis workflows. Participants will learn how to build interactive Orange workflows, explore data visually, and apply them to case studies in single-cell gene expression analysis and survival analysis. The workshop will conclude with Orange Lab, a web-based version of Orange that also features component exposition, allowing selected workflow elements to be embedded in interactive web pages while remaining connected to the underlying analysis pipeline. The workshop will finish with an under-the-hood look at the Orange Lab through a live vibe-coding session to demonstrate the creation of new visual analytics components. The tutorial is tailored for beginners – no prior experience with Orange or the Orange Lab frameworks is required.



Ajda Pretnar Žagar — visual programming in Orange; introductory workflows and interactive data exploration.
Ela Praznik — biomedical workflows for single-cell gene expression analysis.
Jaka Kokošar — survival analysis, patient stratification, Kaplan–Meier workflows, and biomarker discovery.
Matej Bevec — Orange Lab, web-based workflows, component exposition, and custom widget prototyping.

Ajda Pretnar Žagar is a researcher specializing in computational anthropology and digital historiography. Her work bridges computer-based methods with the social sciences and humanities, with a particular focus on valuational studies, parliamentary data, and historical texts. As an expert in teaching data science, she has led over 100 data mining workshops for diverse audiences worldwide. She is also an active contributor to the Orange Data Mining development team.