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.

• 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

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

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

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