330.273 Assistance Systems in Manufacturing 2
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 2.0h, 3.0EC

Course evaluation


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able 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.

Subject of course

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)

Teaching methods

  • 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)

Mode of examination


Additional information

ECTS breakdown: 3 ECTS = 75h

25h lectures, exam preparation, exam

15h individual assignments

35h group project (implementation, presentation, report)



Course dates

Tue16:00 - 18:0012.03.2024 - 07.05.2024Seminarraum FAV 05 (Seminarraum 186) Lecture
Wed09:00 - 11:0013.03.2024Seminarraum FAV 05 (Seminarraum 186) Lecture
10:00 - 17:0013.05.2024 - 15.05.2024 PilotfabrikHackathon Days 1
Thu10:00 - 17:3030.05.2024 PilotfabrikHackathon Days 2
Fri10:00 - 17:3031.05.2024 PilotfabrikHackathon Days 2
Tue15:00 - 18:0011.06.2024Seminarraum FAV 05 (Seminarraum 186) Project Presentations
Tue16:00 - 18:0018.06.2024Theresianumgasse HS 1 - MWB Exam
Assistance Systems in Manufacturing 2 - Single appointments
Tue12.03.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Introduction + Lecture
Wed13.03.202409:00 - 11:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue19.03.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue09.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue16.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue23.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue30.04.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Tue07.05.202416:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Mon13.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Tue14.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Wed15.05.202410:00 - 17:00 PilotfabrikHackathon Days 1
Thu30.05.202410:00 - 17:30 PilotfabrikHackathon Days 2
Fri31.05.202410:00 - 17:30 PilotfabrikHackathon Days 2
Tue11.06.202415:00 - 18:00Seminarraum FAV 05 (Seminarraum 186) Project Presentations
Tue18.06.202416:00 - 18:00Theresianumgasse HS 1 - MWB Exam

Examination modalities


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.

Course registration

Begin End Deregistration end
05.02.2024 08:00 15.03.2024 23:59 12.03.2024 23:59


Study CodeObligationSemesterPrecon.Info
066 445 Mechanical Engineering Elective
066 482 Mechanical Engineering - Management Elective
066 517 Manufacturing and Robotics Not specifiedSTEOP
Course requires the completion of the introductory and orientation phase
066 926 Business Informatics Not specified
ALG For all Students Elective


No lecture notes are available.

Previous knowledge

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.

Preceding courses


  • Attendance Required!