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.

2022S, VU, 2.0h, 3.0EC
TUWEL

LVA-Bewertung

Merkmale

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

Lernergebnisse

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)

Methoden

  • 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)

Prüfungsmodus

Prüfungsimmanent

Weitere Informationen

ECTS breakdown: 3 ECTS = 75h

25h lectures, exam preparation, exam

15h individual assignments

35h group project (implementation, presentation, report)

Vortragende Personen

Institut

LVA Termine

TagZeitDatumOrtBeschreibung
Mi.17:00 - 18:0002.03.2022 Online via Zoom (Link in TUWEL) (LIVE)Introduction + Lecture 1
Di.10:00 - 18:0010.05.2022 - 31.05.2022 PilotfabrikHackathon
Do.10:00 - 12:3009.06.2022 Online via Zoom (Link in TUWEL) (LIVE)Demo Day
Di.15:00 - 16:3021.06.2022 Online via Zoom (Link in TUWEL) (LIVE)Exam
Assistenzsysteme in der Produktion 2 - Einzeltermine
TagDatumZeitOrtBeschreibung
Mi.02.03.202217:00 - 18:00 Online via Zoom (Link in TUWEL)Introduction + Lecture 1
Di.10.05.202210:00 - 18:00 PilotfabrikHackathon 1
Di.17.05.202210:00 - 18:00 PilotfabrikHackathon 2
Di.24.05.202210:00 - 18:00 PilotfabrikHackathon 3
Di.31.05.202210:00 - 18:00 PilotfabrikHackathon 4
Do.09.06.202210:00 - 12:30 Online via Zoom (Link in TUWEL)Demo Day
Di.21.06.202215:00 - 16:30 Online via Zoom (Link in TUWEL)Exam

Leistungsnachweis

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.

Prüfungen

TagZeitDatumOrtPrüfungsmodusAnmeldefristAnmeldungPrüfung
Di.15:00 - 16:3027.06.2023 https://tuwel.tuwien.ac.at/course/view.php?id=44659schriftlich01.03.2023 12:00 - 20.06.2023 12:00in TISSExam

LVA-Anmeldung

Von Bis Abmeldung bis
07.02.2022 08:00 18.03.2022 23:59 15.03.2022 23:59

Curricula

Literatur

Es wird kein Skriptum zur Lehrveranstaltung angeboten.

Vorkenntnisse

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!

Sprache

Englisch