Open Day 2026

Tag der offenen Tür an der TU Graz, Schüler:innen werden beraten — © Lunghammer - TU Graz

Interested in studying at TU Graz? Join us for our Open Day on Thursday, 09^thof April 2026, from 9 a.m. to 4 p.m. (No registration is required). Explore the interactive stations for Computer Science and Biomedical Engineering programs listed below.

The complete schedule for the Open Day can be found on the TU Graz website.

Degree programme Biomedical Engineering:

Interested in the bachelor's programme Biomedical Engineering? Attend our Info Session to receive a comprehensive overview of the BME study programme. For a closer look, join the Info-Tour. You’ll visit our stations and gain a practical, firsthand impression of our facilities.

Info Session:
Schedule: 10:20 - 11:00
Location: HS i1, Inffeldgasse 18/EG

Info Tour:
Schedule: 14:15 - 15:30
Location: Neue Technik, Steyrergasse 30

Interactive stations:
Meeting point at 14:05 at the shuttle bus, Inffeldgasse 25f or 14:15 at the Infopoint Neue Technik, Steyrergasse 30

Maps are available at the Meeting point in Steyrergasse 30.

Degree programmes in the field of computer science:

Are you interested in the following degree programmes in the field of computer science?

Info-Session:

Schedule: 10:20 - 11:00 Uhr
Location: HS i13, Inffeldgasse 16b/ Raised basement (Tiefparterre)

Interactive stations: Open to the public between 12:30 and 15:30.

Maps are available at the Inffeldgasse 10 info point (located in front of the building), at the specific study program stands, or immediately following the info sessions. You can also view the digital map and station descriptions for Computer Science programs below.

STATION 1

Camera Drones and AI

Location: droneSpace, Inffeldgasse 25/E, EG (MEEG152)

Equipped with artificial intelligence, camera-integrated UAVs can autonomously detect and categorize objects or individuals. These capabilities facilitate advanced applications in search and rescue operations, as well as automated aerial surveying and infrastructure inspection.

STATION 2

TU Graz Field Robotics Team TEDUSAR

Location: Vorplatz Inffeldgasse 16b

Focused on "Technology and Education for Urban Search and Rescue," Team TEDUSAR develops autonomous systems to support first responders in crisis zones. Their research addresses key robotics challenges, including navigation through unstructured environments, automated mapping, and intelligent data acquisition in unpredictable settings.

STATION 3

Security of tomorrow & Los Fuzzys

Location: Sandgasse 38a, FuzzyLab (CCGEG025)

Take a look into the future of cybersecurity with us! Learn how cybersecurity could help fight climate change, how exploits could target your data and have your first hacking experience with our LosFuzzys student team.

TU Graz, Data House, Eduardo Veas & Team — © Lunghammer - TU Graz

STATION 4

Human-Centered Computing Labs

Location: HCC Lab, Sandgasse 36/EG (Data House)

At TU Graz’s Human-Centered Computing Labs, we bridge the gap between people and technology. Our mission is to design interdisciplinary solutions that don't just assist humans, but actively augment and enhance their natural capabilities.

STATION 5

Prompting.Schule

Location: Foyer Sandgasse 36/EG (Data House)

Shaping the education of tomorrow is more important than ever. Find out all about teaching opportunities at TU Graz and check out our Prompting.School. We recognize that AI will be a fundamental part of the education system, and we are making sure it’s done right.

STATION 6

TU Graz Data Team

Location: Foyer Sandgasse 36/EG (Data House)

Discover Big Data in action at TU Graz. Our team dives into cross-disciplinary challenges, whether it's optimizing house energy use, tracking biodiversity with wildlife cameras, or unlocking insights from text analysis. We turn complex data into meaningful solutions.

STATION 7

PianoAR

Location: DHEG136E (Showroom), Sandgasse 36/EG (Data House)

Our project redefines musical education through augmented reality. By overlaying an intuitive and natural visualization onto the instrument itself, we enable users to interact with music effortlessly. This approach empowers beginners to play complex songs without the steep learning curve of conventional notation.

STATION 8

Microelectronics & Singing Tesla Coils

Location: DHEG136E (Showroom), Sandgasse 36/EG (Data House)

At the core of wireless power research lies the Tesla coil: a high-frequency transformer that generates powerful alternating currents. As part of the Information & Computer Engineering degree, we explore these pioneering concepts in collaboration with the Faculty of Electrical Engineering and Information Technology, bridging the gap between Tesla’s original vision and modern electronic systems.

STATION 9

AI Meets Cookies

Location: DHEG136E (Showroom), Sandgasse 36/EG (Data House)

Cookie or Crumbs? Put our AI to the test! Place a cookie in the inspection station and get a live look at how modern optical systems and artificial intelligence work together to spot imperfections in an instant.

STATION 10

Computer Vision for Tabletop Games

Location: DHEG136E, Sandgasse 36/EG (Data House)

From the initial idea to the finished product: Experience live how intelligent image processing (computer vision) takes classic tabletop games to a new level!

Station 11

Game Lab Graz & Game Dev Students

Location: Data House, Sandgasse 36/EG (DHEG107)

The Game Lab Graz specializes in creating engaging, immersive environments that solve real-world challenges in science and education. By combining advanced AI with interactive technology, we turn research into playable reality. Join us and the Game Dev Students Graz to discover and play through a variety of unique game development projects.

STATION 12

TU Graz RoboCup Team GRIPS

Location: Sandgasse 36/EG vor dem Showroom (Data House)

GRIPS (Graz Robust and Intelligent Production System) specializes in autonomous robotics designed to master complex logistics. Our systems dynamically plan, execute, and optimize material flows and product delivery, responding in real-time to shifting order requirements with unmatched agility.

Station 13

Optische und mmWellen basierte Sensorsysteme

Location: Sandgasse 36/EG DHEG054 (Data House)

Representing the Information & Computer Engineering degree program, we present three advanced sensing solutions developed in cooperation with the Faculty of Electrical Engineering and Information Technology.

Our exhibit features absorption spectroscopy for atmospheric analysis, fiber-optic systems for distributed structural health monitoring, and metamaterial-based telemetry for wireless torque sensing in robotics and e-mobility.

Station 14

CuriousITI - Experience embedded systems

Location: Sandgasse 36/EG DHEG054 (Data House)

Explore the engineering behind embedded systems, the foundational technology in modern consumer electronics and automotive design. Featured demonstrations include real-time system operations, non-GPS indoor positioning, and battery life optimization for electric drivetrains.

This exhibit highlights the interdisciplinary work between Information & Computer Engineering and Electrical Engineering.