Individual Systems Engineering Training for Your Team

What is Systems Engineering?

We define the basic concepts of Systems Engineering and explain why Systems Engineering is essential for developing complex systems. You'll get an overview of the principles, methods and tools that belong to Systems Engineering and how they help implement complex projects efficiently. 

Value and Benefits of Systems Engineering

What does Systems Engineering deliver? We examine the Return on Investment (ROI) of Systems Engineering and its value along the entire system lifecycle.  We analyze concrete case studies to show how a systematic approach reduces costs, minimizes risks and improves product quality. 

Systems Thinking

Systems thinking is a key competency in Systems Engineering. We look at 15 principles of Systems Engineering and gain insight into mental models of systems thinking. Optionally, we supplement fundamentals such as system models, theories and use cases. 

Development Models

Systems Engineering processes can be applied in various development models – from the classic waterfall model to agile methods all the way to Development and Operations (DevOps) and the wave model for Systems of Systems. Each model offers different advantages and challenges that must be carefully weighed depending on the project type. 

Systems Engineering in the Organization

Systems Engineering encompasses more than just technical processes. We look at supporting organizational processes such as knowledge and infrastructure management. 

Agreement Processes

How do clients and suppliers reach a common understanding of the goals, deliverables and evidence of a system? How can this be formally documented?

Managing Systems Engineering Projects

Systems Engineering and project management are closely connected.

We look at how the SE perspective complements common PM techniques and increases their efficiency and effectiveness. Which (technical) metrics can be used for optimal project control? How do smart architectures help with project structuring?

Managing Risks Effectively

Early identification and management of risks helps to develop a system first time right. We present proven methods to minimize risks and leverage opportunities. You'll learn how risk management processes are structured and which tools are available for identifying and assessing risks. 

Making Well-Founded Decisions

Every system development requires well-founded decisions. We present methods for decision-making and examine the role of cognitive biases. You'll learn how systematic decision-making processes help minimize risks and how decision support systems can be used in complex projects. 

Configuration Management

From configuration control to baseline management: We show why effective configuration management is crucial throughout the entire lifecycle of a system. 

Requirements Management Fundamentals

What makes a good requirement? We examine the characteristics of requirements, their relationship to needs and different levels of requirements definition. You'll also learn how to formulate requirements precisely to create a solid foundation for system development. 

Needs Elicitation

How do you find out what the customer really needs? From business and mission analysis to concept documents like Concept of Operations (ConOps) and Operational Concept (OpsCon) through to the systematic elicitation of stakeholder needs. 

Advanced Topics in Requirements Management

System requirements, documentation, Traceability, rules, orphans, derivation, attributes and their relationship to the architecture. 

System Architecture Fundamentals

Fundamentals of system architecture: We clarify what types of architectures exist, what role interfaces play, which architecture frameworks support the process and how to develop a 'good' architecture. We look at the differences between functional, logical and physical architecture and how they interact in practice. 

Functional Architecture

Building on the fundamentals of system architecture, we deepen the functional architecture. We look at the structure and interaction of functions as well as system states and operating modes for a complete behavioral description. This includes function trees, data flow diagrams and state models. We also analyze the relationship with requirements and model states and transitions. 

Logical Architecture

The logical architecture forms the backbone of system development. A well-structured architecture with clear boundaries serves as a guide for various development areas. We analyze what makes a "good" logical architecture, introduce the Requirements-Functional-Logical-Physical approach (RFLP) and examine decision-making processes in architecture development. 

Design for X

How do aspects such as reliability, maintainability, safety and cost optimization influence the system design? We tailor this module to your needs and examine methods such as Reliability, Availability, Maintainability, Safety (RAMS), circular economy (Circularity) or security techniques. 

Integration, Verification and Validation

What is the difference between verification and validation? What, when and why should be tested? We address these questions and show how verification and validation are linked to integration and what methods are available. 

Operations, Maintenance, Disposal

Systems Engineering means looking at the entire lifecycle of a system. In addition to the development phases, we examine processes and activities that are crucial in later phases. 

You'll learn which strategies exist for the maintenance, modernization and sustainable disposal of systems and how you can take these aspects into account already in the early development phase. 

Introduction to Model-Based Systems Engineering

You'll learn what MBSE is, why it's helpful and how you can benefit from it – with no prior knowledge required.

System Idea and Context

Here you'll learn how to creatively and systematically collect ideas and understand the environment of your system – for a strong project start.

Use Case Analysis

Use cases help you capture requirements from the user perspective – in an understandable and tangible way. They are an important basis for requirements for your system.

Domain Models

You structure knowledge from the domain in clear models – creating a shared understanding for all stakeholders.

Requirements Models

You'll learn how to describe, group and organize requirements into packages – clearly and traceably.

State Models

With state diagrams you show how your system behaves in different situations – easy to read, powerful in its statement.

Activity Models

You describe processes and work steps – so you can identify weaknesses and optimize workflows.

Interaction Models

You model how the parts of your system communicate with each other or with system actors – giving you a clear picture of the inner workings.

Functional Architecture with the FAS Method

The FAS method describes a structured approach to developing a functional architecture. Here you'll learn how to systematically collect and organize functions – the perfect preparation for later technical implementation.

Design Models 1

In two parts you'll learn how to break down your system into components – clearly, structured and comprehensibly.

Design Models 2

In two parts you'll learn how to break down your system into components – clearly, structured and comprehensibly.

Parametric Models

You'll learn how to model relationships between technical quantities – explained clearly and comprehensibly.

Introduction to MBPLE

You'll learn how to efficiently develop product families – through clever modeling and reuse.

MBPLE - Features

With feature models you show which variants your product can have – clearly and comprehensibly.

MBPLE - Shared Assets

You model elements that are used in multiple products – for more efficiency and less effort.

SysML v2 - Introduction

SysML v2 is the language of the future. A brief look at the key features. What makes it so great?

Design Models (SysML v2)

A brief insight into modeling system design with SysML v2. What advantages does the second version bring?

Requirements Models (SysML v2)

A brief insight into modeling requirements with SysML v2. In particular, the relationships to system building blocks and properties have a few interesting tricks up their sleeve.

Open Space

The truly interesting conversations at conferences happen at the coffee machine.

Following this idea, Open Space is a format that provides the organizational framework for an exchange, but the topics themselves come from the participants, so that a very broad spectrum of topics is potentially addressed. In Open Space, multiple topics take place simultaneously, so participants can focus on the topics in which they have a genuine interest.

Ask Me Anything

The name says it all. Participants collect questions for the trainers and prioritize them. The trainers then try to answer them. And Ask Me Anything is called that for good reason: the questions can really be about anything.

World Café

With a World Café, the hosts offer guests, with relatively little effort and professional guidance, a safe space to get to know different perspectives on – and different approaches to a topic, discover patterns and recognize goals and connections, get to know new ways of interacting, become cooperative, listen carefully, ask questions, discuss constructively and thus solve problems together.

Lean Coffee

Lean Coffee is an exchange format in which participants first collect topics, prioritize them together and then discuss the topics in defined time slots according to their self-selected prioritization.

Pair Modeling

You work in a team on a model and learn faster and more thoroughly in the process. Pair modeling strengthens collaboration and quality – ideal for practicing and deepening skills.

OCSMP-MU Exam Preparation

We prepare you specifically for your OCSMP exam – with examples, exercises and personal feedback.