Trends in Smart Products (elective)
Niveau
Master's course
Learning outcomes of the courses/module
The following learning outcomes are developed in the course:
- Students will understand the concepts of smart applications such as Smart House, Smart City, Smart Production, Connected Vehicles etc.- Students know and understand the latest trends in the field of these applications
- Students will understand the concepts of smart applications such as Smart House, Smart City, Smart Production, Connected Vehicles etc.- Students know and understand the latest trends in the field of these applications
Prerequisites for the course
No prerequisites
Course content
The contents of this course are not set, but will be adapted to the current prevailing trends. Content examples may include:
- Current best practice approaches and concepts in application areas (e.g. Smart Home, Smart City, Smart Production, Connected Vehicles etc.)
- Current best practice approaches with regard to development processes and tools
- Current research and development activities or research and development results
- Current best practice approaches and concepts in application areas (e.g. Smart Home, Smart City, Smart Production, Connected Vehicles etc.)
- Current best practice approaches with regard to development processes and tools
- Current research and development activities or research and development results
Recommended specialist literature
- Huber W.; Industrie 4.0 kompakt – Wie Technologien unsere Wirtschaft und unsere Unternehmen verändern: Trans-formation und Veränderung des gesamten Unternehmens; Wiesbaden; 2018
- Iyer B., Venkatraman V.; “What comes after smart products?”, Havard Business Review; 2015
- Roth A.; Einführung und Umsetzung von Industrie 4.0: Grundlagen, Vorgehensmodell und Use Cases aus der Praxis; Wiesbaden; 2016
- Iyer B., Venkatraman V.; “What comes after smart products?”, Havard Business Review; 2015
- Roth A.; Einführung und Umsetzung von Industrie 4.0: Grundlagen, Vorgehensmodell und Use Cases aus der Praxis; Wiesbaden; 2016
Assessment methods and criteria
Seminar thesis
Language
German
Number of ECTS credits awarded
3
Share of e-learning in %
0
Semester hours per week
2.0
Planned teaching and learning method
Lecture, exercise
Semester/trimester in which the course/module is offered
4
Name of lecturer
NNV-extern
Academic year
Key figure of the course/module
WPF.11
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
none