Data Structures and Algorithms for Intelligent Engineering
Certificate Course - Management of Product Development - MPD.1.4.I26
| Date | Nov 26 - 27, 2026 |
| Duration | 2,5 days |
| Location | On campus - Karlsruhe |
|
Language |
English |
| ECTS | upon request |
| Cost | 1,800€ |
Fundamentals
Introduces product-related information management across enterprises and fundamentals of information and data modeling for lifecycle-wide consistency.
Technology
Covers PLM/PDM, ERP, CRM, SCM systems, model‑driven architectures, and IT architectures/communication mechanisms supporting product data flows.
Applications
Plans, controls, and organizes product processes; manages holistic administration of data, documents, and resources across the entire product lifecycle.
What you'll explore
- Fundamentals of information and data modeling
- Product lifecycle (PLC): information types and system perspectives (PDM, ERP, CRM, SCM)
- PLM (PLC management) functions and model‑driven architectures
- IT architecture and communication mechanisms for product data integration
- Overview of commercial PLM solutions and implementation considerations
- Preparation for “IoT Solutions for Product Lifecycle Management” (follow‑on course)
Your key takeaways
Participants
- Gain insight into planning, controlling, and organizing information flows.
- Understand lifecycle‑wide maintenance of data, documents, and processes.
- Comprehend PLC implementation and associated systems and architectures.
- Acquire knowledge of data modeling, PDM, and ERP‑class systems.
- Build a foundation for advanced PLM/IoT lifecycle management topics.
Taught by recognized experts in Data Structures and Algorithms for Intelligent Engineering
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr.-Ing. Matthes Elstermann
Prof. Dr.-Ing. Matthes Elstermann is a visiting professor for Software Engineering at the University of Münster’s Institute for Information Systems. He focuses on subject-oriented process modeling, complex socio-technical systems, and digital transformation. His research spans methodological foundations, modeling tools, simulation, and real-world applications in domains such as AI systems, concept drift, sustainability analysis, and digital twins. With a background in industrial engineering from KIT, he bridges theory and practice to improve understanding, analysis, and transformation of complex IT-driven systems across disciplines.
Who should attend
This course is ideal for:
- PLM/PDM engineers and product data managers.
- Systems and IT architects integrating ERP/CRM/SCM with PLM.
- Product development professionals managing lifecycle information flows.
- Early‑career professionals preparing for PLM/IoT lifecycle solutions.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine.
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.