330.267 Knowledge Management 4.0
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, VO, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

  • Defining and recognizing CPPS and its associated data-driven processes in operational and management dimensions of a smart factory.
  • Characterizing and mapping “knowledge holders”, “knowledge generators”, “knowledge users” and “knowledge assets” in the context of CPPS, including human and technological entities such as AI agents and collaborative robots
  • Selecting appropriate methods and/or tools (platforms) of “Artificial Intelligence” and “Data Science”, including machine learning and predictive data analytics, knowledge engineering and semantic technology for modeling and analyzing data, learning new patterns, and reasoning (including prediction).
  •  Designing the knowledge map of a smart factory (e.g. TU Wien Pilot-Factory) and selecting required data analytics and knowledge engineering methods not only for processing and utilizing CPPS data but also for supporting decision making processes.

Subject of course

  • Basics of Cyber Physical Production Systems (CPPS) related concepts and terminologies including Digitalization, Industry 4.0, Digital Transformation in Manufacturing Enterprises, IoT, Digital Twin, etc.
  • Basic of Knowledge Management
  • Knowledge Management 4.0 and Big Data
  • Artificial Intelligence and Cognitive Science  
  • Human-Machine Interaction, Collaboration and Reciprocal Learning
  • Collaborative Robotics
  • Job Transformation in the Age of Industry 4.0
  • CRISP-DM and Data Science Applications in Various Industrial Domains
  • Knowledge-Based Maintenance (Maintenance wit/without sensing and computational technologies, Predictive and Prescriptive Maintenance, Text-Mining Applications in KBM, Industrial Use-cases)
  • Knowledge Modeling and Representation with Ontology and Protégé Editor
  • Human-Centered Cyber Physical Assembly Systems
  • Excursion and Open Discussion at the TU Wien Pilot Factory Industry 4.0

Teaching methods

  • Qualitative modeling and analysis
  • Data Mining and Machine Learning
  • Text Mining
  • Ontology Modeling and Engineering

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 17:0007.03.2023 - 13.06.2023Bombardier Hörsaal Vorlesung
Knowledge Management 4.0 - Single appointments
DayDateTimeLocationDescription
Tue07.03.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue14.03.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue21.03.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue28.03.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue18.04.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue25.04.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue02.05.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue09.05.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue16.05.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue23.05.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue06.06.202314:00 - 17:00Bombardier Hörsaal Vorlesung
Tue13.06.202314:00 - 17:00Bombardier Hörsaal Vorlesung

Examination modalities

The proof of achievements will be evaluated by a written exam at the end of the lecture period

In order to take part in an examination, it is necessary to register in time (for the respective examination date) in TISS. Students who do not meet the registration deadline cannot take part in the exam! Enquiries in this regard will not be answered!

Examination Barriers

In accordance with the study regulations (Mitteilungsblatt 2014, 3. Stück; Nr.22), the following rules apply to the cancellation of examinations.

§ 18a. (1)) The students are entitled to cancel their examinations orally, in writing or electronically with the examiner or dean of studies at the latest two working days before the day of the examination.

(2) If students do not appear for an examination without having cancelled their registration in accordance with paragraph 1, the Dean of Studies is entitled to exclude these students from the registration for this examination for a period of eight weeks at the suggestion of the examiner. This period begins on the examination day on which the student, despite having registered correctly, did not appear without having cancelled his/her registration beforehand. The affected students must be informed of the suspension in an appropriate manner.

(3) If the student can prove that he/she has been prevented from deregistering in due time in accordance with paragraph 1 by a valid reason (e.g. accident) or another reason worthy of special consideration, the suspension must be lifted.

It should be noted that use is made of the option set out in paragraph (2) for students who do not appear at the examination without prior deregistration.

Examinations: Registration by e-mail to lehreBTSP@tuwien.ac.at

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri14:00 - 15:3003.03.2023 https://tuwel.tuwien.ac.at/course/view.php?id=49530written03.02.2023 09:00 - 01.03.2023 09:00TISSOnline-Prüfung
Thu16:00 - 17:3020.04.2023 https://tuwel.tuwien.ac.at/course/view.php?id=49530written20.03.2023 09:00 - 18.04.2023 09:00TISSOnline-Prüfung
Thu16:00 - 17:3022.06.2023 https://tuwel.tuwien.ac.at/course/view.php?id=49530written22.05.2023 09:00 - 20.06.2023 09:00TISSOnline-Prüfung

Course registration

Begin End Deregistration end
18.02.2023 08:00 28.06.2023 08:00 28.06.2023 08:00

Curricula

Study CodeSemesterPrecon.Info
066 482 Mechanical Engineering - Management STEOP
Course requires the completion of the introductory and orientation phase
066 926 Business Informatics STEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Previous knowledge

Basic knowledge in production, logistics, quality, process and project management

Accompanying courses

Language

English