330.273 Assistenzsysteme in der Produktion 2
Diese Lehrveranstaltung ist in allen zugeordneten Curricula Teil der STEOP.
Diese Lehrveranstaltung ist in mindestens einem zugeordneten Curriculum Teil der STEOP.

2024S, VU, 2.0h, 3.0EC



  • Semesterwochenstunden: 2.0
  • ECTS: 3.0
  • Typ: VU Vorlesung mit Übung
  • Format der Abhaltung: Hybrid


Nach positiver Absolvierung der Lehrveranstaltung sind Studierende in der Lage... 

to understand, develop, and evaluate assistive technologies and human-machine-interaction in industrial settings. Furthermore, students are able to determine the goals, requirements, and boundary conditions of different technologies, e.g. context-aware work systems, machine learning, augmented reality, or mobile robots.

Inhalt der Lehrveranstaltung

Successful integration of assistance systems requires theoretical and practical understanding of the state of the art concepts. Following topics will be presented and discussed in the course:

  • Human-machine-cooperation
  • Artificial intelligence (machine learning, deep learning)
  • Context-aware computing and personalisation for work systems
  • Mobile robotics
  • Human-computer-interaction for industrial systems (gesture and speech recognition, augmented and virtual reality)
  • Physical support systems and ergonomics
  • Privacy at work (consequences of tracking, explainable AI)


  • The course is structured in three phases that are graded separately:

    1. Lectures and exam: the course consists of eight individual lectures, which will cover the content of assistance systems. The lecture videos are available via TUWEL. A short exam will be conducted at the end of the semester.
    2. Individual assignments: three individual assignments will be handed, covering topics such as machine learning, mobile robotics, and augmented reality. Code templates and detailed instructions will be provided. (15% of the grade)
    3. Group project: students are presented seven project options, including topics such as speech recognition, human-robot-collaboration, brain-computer-interface, or recommender systems. Programming will be carried out in Python. The implementation will be performed in the pilot factory of TU Wien. The results will be presented during the demo day. (50% of the grade)



Weitere Informationen

ECTS breakdown: 3 ECTS = 75h

25h lectures, exam preparation, exam

15h individual assignments

35h group project (implementation, presentation, report)

Vortragende Personen


LVA Termine

Di.16:00 - 18:0012.03.2024 - 07.05.2024Seminarraum FAV 05 (Seminarraum 186) Lecture
Mi.09:00 - 11:0013.03.2024Seminarraum FAV 05 (Seminarraum 186) Lecture
10:00 - 17:0013.05.2024 - 15.05.2024 PilotfabrikHackathon Days 1
Do.10:00 - 17:3030.05.2024 PilotfabrikHackathon Days 2
Fr.10:00 - 17:3031.05.2024 PilotfabrikHackathon Days 2
Di.15:00 - 18:0011.06.2024Seminarraum FAV 05 (Seminarraum 186) Project Presentations
Di.16:00 - 18:0018.06.2024Theresianumgasse HS 1 - MWB Exam
Assistenzsysteme in der Produktion 2 - Einzeltermine
Di.12.03.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Introduction + Lecture
Mi.13.03.202409:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.19.03.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.09.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.16.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.23.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.30.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Di.07.05.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Mo.13.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Di.14.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Mi.15.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Do.30.05.202410:00 - 17:30 PilotfabrikHackathon Days 2
Fr.31.05.202410:00 - 17:30 PilotfabrikHackathon Days 2
Di.11.06.202415:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Project Presentations
Di.18.06.202416:00 - 18:00Theresianumgasse HS 1 - MWB Exam




The course will be graded as follows:

  1. Exam - 35% of the grade
  2. Individual assignments – 15% of the grade
  3. Group project – 50% of the grade


Please refer to additional information for the detailed ECTS breakdown.


Von Bis Abmeldung bis
05.02.2024 08:00 15.03.2024 23:59 12.03.2024 23:59


066 445 Maschinenbau Freifach
066 482 Wirtschaftsingenieurwesen - Maschinenbau Freifach
066 517 Manufacturing and Robotics Keine AngabeSTEOP
Lehrveranstaltung erfordert die Erfüllung der Studieneingangs- und Orientierungsphase STEOP
066 926 Business Informatics Keine Angabe
ALG Für alle Hörerinnen/Hörer Freifach


Es wird kein Skriptum zur Lehrveranstaltung angeboten.


Students are expected to understand basic concepts of programming (e.g. Python or another OOP language). Previous knowledge on assistance systems (e.g. Assistance Systems in Manufacturing 1) is beneficial, but not a prerequisite.

Vorausgehende Lehrveranstaltungen

Weitere Informationen

  • Anwesenheitspflicht!