Intendierte Lernergebnisse
As cars, traffic lights and the built environment are becoming connected and augmented with embedded intelligence, it is important to understand how smart ecosystems that encompass hardware, software, and physical components can help sense the changing state of the real world.
Lehrmethodik inkl. Einsatz von eLearning-Tools
Lecture + Seminar.This a Seminar-oriented Course.Students have to prepare, each, 3 to 4 mini-presentations.
Inhalt/e
CONTENTS=========This Seminar-oriented Course has the following Contents.PART 1: Selected Principles of Cyber-physical Systems===========================================1. General Background, Motivation and History of Cyberphysical Systems2. Introduction to Systems3. Introduction to Embedded Computing Systems4. Introduction to Cyber-Physical Systems5. DIGITAL TWIN TECHNOLOGIES – Basics6. Introduction to the Internet of Things7. Ubiquitous Computing8. Convergence of Digital Twin, IoT, and Machine Learning7. Systems and Software Engineering8. Digital Manufacturing / Industry 4.0PART 2: Transportation Cyber-Physical Systems======================================1. Transportation Cyber Physical Systems and its Importance for Future Mobility 2. Architecture of TCPS 3. Collaborative Modelling and Co-Simulation for Transportation Cyber-Physical Systems 4. Real-Time Control Systems 5. TCPS Security, Privacy, and Safety-related concerns6. Infrastructure for Transportation Cyber Physical Systems 7. Data Management Issues in Cyber-Physical Systems 8. Human Factors in Transportation Cyber-Physical Systems 9. TCPS as a specialised education stream 10. Research Challenges and Transatlantic Collaboration on TCPS 11. Future of TCPS – Smart Cities/RegionsPART 3: Short Introduction to DIGITAL ENTERPRISES and DIGITAL TWINS Development========================================================================1. Digital Thread – Holistic Approach2. Enterprise Models3. Enterprise Decision-Making Requirements4. Decision-Making Approaches5. Digital Twin Concepts for Decision-Making6. Enterprise Optimisation7. Information Technology for Digital Enterprises# IT-Requirements for Digital Enterprises# IT architecture (cloud computing, edge computing, SaaS, SoA)# IoT & IIoT# Data Analytics and Integration (data analytics, smart data / big data, data quality and reliability)# Artificial Intelligence (machine learning, neural networks / deep learning, evolutionary optimisation, cognitive computing)# Enterprise Security and Data Protection (plant security, network security, system integrity, blockchain technology)