This course provides the participants a combination of the fundamental and practical aspects of MBSE and SysML. The course first deals with explaining the core concepts of MBSE. Next, several practical exercises are performed to demonstrate the basics for deploying MBSE using SysML without using any specific tool. Finally, the course wraps up with a discussion of the challenges faced when developing and deploying MBSE in real-world applications and how to manage it. Course Pre-requisites: System or software engineering knowledge. No prior training is required.
This course provides the participants a solid foundation about the fundamental and practical aspects of MBSE and SysML. Participants will learn more about how to interpret and understand SysML models, their elements and how to read their diagrams. Furthermore, the concepts of modeling method based on SysML will be explained in order to demonstrate how SysML can be customized for a particular application domain. This course also includes several interactive practical exercises, discussions and lessons learned to ensure a successful MBSE implementation with clear defined goals and aimed deliverables.
A requirement for attending this course is the attendance of the MBSE & SysML Introduction course.
This course focuses on systems engineering as a systemic and systematic methodology for solving complex problems. The course discusses thinking, systems thinking as a way of understanding a situation and the benefits of going beyond systems thinking to determine the problem and solution. The course applies systems thinking to systems engineering, provides the participants with a number of conceptual tools, looks at systems and their properties and then goes through each state of the system lifecycle discussing what systems engineers do in each state and how they do it; identifying the types of problems faced by systems engineering in each state, and the tools and methodologies available for the systems engineer to use in each state.
Holistic thinking is a combination of analysis, systems thinking and critical thinking. After an introduction to systems thinking and critical thinking, Participants will learn how to apply holistic thinking in a systemic and systematic manner to deal with structured and unstructured problems.
Managing the complexity of products along their lifecycle is an increasing challenge in many industries. Knowing and controlling the state of mechatronical systems during development, in the supply chain and after sales is a basic requirement for today`s manufacturer. Manyfold requirements set by customers and regulatory bodies, paired with increasing number of product variants set challenges for managing product data, documentation and changes along the product`s lifetime.
Learn how to combine Systems Engineering with Design Thinking and Lean Start-up in the upfront Innovation phase (Pre-Development-Phase). The Design Thinking course gives you a deep understanding of the Design Thinking mindset and its problem-solving cycle based on fast iteration and customer interaction.
The importance of a well-defined concept including product/service conception, business design and clear determination of the customer needs is fundamental before the development starts. The later misconceptions are discovered, the more costly it gets and there is a lot of wasted work, money and time.
Design Thinking and Systems Engineering are both problem-solving methods that try to cope with the increasing complexity. Both approaches are on a first sight completely different but on a closer look they become more and more complementary and share many thoughts. Combining both approaches and switching the thinking mode is essential when dealing with ambiguity.
The course is very practice-oriented and hands-on. The participants will spend more than half of the time practicing, e.g. meeting the user and practicing need-finding, creating new ideas, building prototypes and testing with the user.
This course defines a holistic approach to project management for the development of new complex techno-centric systems. The emphasis is on the relationships and interconnections between project management processes and systems engineering processes for new complex systems. Specific topics include change management, strategy, project organization, team development, leadership styles, priorities, task development, scheduling, cost estimation, performance monitoring, constraint management, and project audits. Students apply these concepts on a project while working in teams. Mastery of these key tools is important for career development, as projects are a major approach for organizations to achieve their strategic goals.
Design Thinking and Lean Innovation are easy to understand concepts, however with the practice more questions arises. In this advanced workshop we dig deeper and learn additional tools and methods (like business ecosystem design), reflect the practical experiences and challenges of the participants and how to overcome them.
In addition to combining Design Thinking and Systems Thinking, we learn how to make a deep dive into designing a business ecosystem, creating stakeholder maps and have a look into the hybrid model (combining Design Thinking and Big Data Analytics).
The workshop will also focus in the challenge of implementing Design Thinking in your organisation.
