VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Information Technologies in the Digital Product
Informationstechnologien im digitalen Produkt
Last Updated: 2026-06-03 00:14:17
Abstract
Digitalization across the Product Lifecycle with Objectives, Concepts and Methods, Smart Connected Products through Industry 4.0Concepts for Digitalization: Product Structures, Optimization of Engineering Processes with digital models in Sales, Production, Service, Digital Twin versus Digital ThreadPLM Fundamentals: Objects, Structures, Processes, Integrations, VisualizationBest Practices
Objective
Students learn the fundamental concepts of Digitalization along the product lifecycle on the foundation of Product Lifecycle Management (PLM) technologies, the usage of databases, the integration of CAx systems and Visualization/AR, the configuration of digital collaboration across systems and locations as well as variant and configuration management to enable an efficient utilization of the digital product approach in industry 4.0.
Content
Possibilities and potential of modern IT applications focussing on PLM and CAx technologies. Introduction to the concepts of Product Lifecycle Management (PLM): information modeling, data management, revision, usage and distribution of product data. Structure and functional principles of PLM systems. Integration of modern IT technologies in business processes, e.g. by automatic configuration of product variants via the Internet or to develop products globally across distributed locations. Interfaces in computer-integrated product development. Selection, configuration, adaptation and introduction of PLM systems. Examples and case studies for industrial usage of modern information technologies. Learning modules: - Introduction to Digitalization (Digital Product, PLM technology) - Database technology (foundation of digitalization) - Object Management - Object Classification - Object identification with Part Numbering Systems - CAx/PLM integration with Visualization/AR - Workflow & Change Management - Interfaces of the Digital Product - Enterprise Application Integration (EAI)
Resources
Lecture Notes
Didactic concept / learning materials:The course consists of lectures and exercises based on practical examples including the use of modern Web-native PLM applications on Cloud.Provision of lecture handouts and script digitally in Moodle.
Literature
Teaching materials are provided in Moodle - Slides in PDF format with recordings of lectures and exercises (weekly) - Lecture documentation in PDF format (free of charge) with extensive background information to be used as reference with literature sources and comprehension questions for each learning module
General Information
- Language
- German
- Levels
- BSC , DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Informationstechnologien im digitalen Produkt |
|
3 h weekly |
Offered In
-
-
-
-
Design, Mechanics and Manufacturing (Focus Coordinator: Prof. Dennis Kochmann To achieve the required 20 credit points for the Focus Specialization Design, Mechanics and Manufacturing, all of the courses listed can be selected. If required, one course from another focus specialization or from the electives of the ME Bachelor program can be selected. For recommended courses and further information, please visit the MAVT website for Focus Specialization ( ).)
-
-
-
-
-
Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed.)
-
-
-
Core Courses (The Core Courses in the Master’s program Mechanical Engineering listed below are indicative and include courses designed by the Department at the Master's level. With the approval of the tutor, students may also select Master's-level courses offered by other departments at ETH. These courses will be marked as non-regular in the LAG, but their categorization as Core Courses is possible if included in the approved LAG.)
-
-
-
Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed. All courses listed as core courses (not electives) for one of the following ETH MSc programmes, MSc Statistics, MSc Physics, MSc Computer Science, MSc (Applied) Mathematics, MSc Neural Systems and Computation, MSc Robotics, Systems, and Control, MSc Data Science, MSc Electrical Engineering and Information Technology, can be taken as an elective course in the MSc CSE without prior permission.)
-
-
Doctorate Materials Science (Further information at: )
-