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.

2023S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • 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

Mon09:00 - 11:0006.03.2023Seminarraum EBEG-2 - RPL Introduction + Lecture 1
Tue16:00 - 18:0014.03.2023 - 09.05.2023Seminarraum EBEG-2 - RPL Lecture
10:00 - 17:0015.05.2023 - 17.05.2023 PilotfabrikHackathon Days 1
10:00 - 17:3025.05.2023 - 26.05.2023 PilotfabrikHackathon Days 2
Mon13:00 - 16:0005.06.2023Seminarraum EBEG-2 - RPL Project Presentations
Tue16:00 - 18:3020.06.2023 ZOOMExam
Assistance Systems in Manufacturing 2 - Single appointments
Mon06.03.202309:00 - 11:00Seminarraum EBEG-2 - RPL Introduction + Lecture 1
Tue14.03.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue21.03.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue28.03.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue18.04.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue25.04.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue02.05.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Tue09.05.202316:00 - 18:00Seminarraum EBEG-2 - RPL Lecture
Mon15.05.202310:00 - 17:00 PilotfabrikHackathon Days 1
Tue16.05.202310:00 - 17:00 PilotfabrikHackathon Days 1
Wed17.05.202310:00 - 17:00 PilotfabrikHackathon Days 1
Thu25.05.202310:00 - 17:30 PilotfabrikHackathon Days 2
Fri26.05.202310:00 - 17:30 PilotfabrikHackathon Days 2
Mon05.06.202313:00 - 16:00Seminarraum EBEG-2 - RPL Project Presentations
Tue20.06.202316:00 - 18:30 ZOOMExam

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
06.02.2023 08:00 17.03.2023 23:59 14.03.2023 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!