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

Properties

  • 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

Immanent

Additional information

ECTS breakdown: 3 ECTS = 75h

25h lectures, exam preparation, exam

15h individual assignments

35h group project (implementation, presentation, report)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon16:00 - 18:0006.03.2023Seminarraum 363 Introduction + Lecture 1
Tue16:00 - 18:0014.03.2023 - 09.05.2023Seminarraum 363 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 363 Project Presentations
Tue16:00 - 18:3020.06.2023 ZOOMExam
Assistance Systems in Manufacturing 2 - Single appointments
DayDateTimeLocationDescription
Mon06.03.202316:00 - 18:00Seminarraum 363 Introduction + Lecture 1
Tue14.03.202316:00 - 18:00Seminarraum 363 Lecture
Tue21.03.202316:00 - 18:00Seminarraum 363 Lecture
Tue28.03.202316:00 - 18:00Seminarraum 363 Lecture
Tue18.04.202316:00 - 18:00Seminarraum 363 Lecture
Tue25.04.202316:00 - 18:00Seminarraum 363 Lecture
Tue02.05.202316:00 - 18:00Seminarraum 363 Lecture
Tue09.05.202316:00 - 18:00Seminarraum 363 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 363 Project Presentations
Tue20.06.202316:00 - 18:30 ZOOMExam

Examination modalities

Immanent

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.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu16:00 - 17:3022.06.2023 https://tuwel.tuwien.ac.at/course/view.php?id=44659written22.05.2023 12:00 - 20.06.2023 12:00TISSOnline exam
Wed14:00 - 15:3005.07.2023 https://tuwel.tuwien.ac.at/course/view.php?id=49530written05.06.2023 09:00 - 03.07.2023 09:00TISSOnline exam - alternative

Course registration

Begin End Deregistration end
06.02.2023 08:00 17.03.2023 23:59 14.03.2023 23:59

Curricula

Study CodeSemesterPrecon.Info
066 445 Mechanical Engineering
066 482 Mechanical Engineering - Management
066 517 Manufacturing and Robotics STEOP
Course requires the completion of the introductory and orientation phase
066 926 Business Informatics
ALG For all Students

Literature

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

Miscellaneous

  • Attendance Required!

Language

English