Model-Based Systems Engineering2020VT
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Course plan
No of lectures
42 hours
Recommended for
Ph.D. students and practitioners in engineering/natural science and/or computer science.
The course was last given
March 2019
Goals
• Describe how products and services from different technical areas can be
integrated into a system.
• Describe basic concepts in Systems Engineering.
• Specify and analyze system requirements.
• Design and model a system architecture.
• Use a modeling languages such as Modelica (and UML) to describe a small
system.
• Model, analyze, simulate, and optimize a system.
• Plan implementation of a system.
• Validate a system.
• Perform environmental and lifecycle analysis of a system
• Optional part: INCOSE systems engineering certification
Prerequisites
General undergraduate level knowledge in engineering, mathematics, programming languages and programming.
Organization
Lectures integrated with interactive exercises, a few small project assignments, and a medium-sized project on modeling and optimizing an electric vehicle. Schedule and location are given on the course home page.
Contents
This is an introductory course in systems engineering with emphasis on
model-based systems development, design, and analysis using tools. The course
include general methods which are useful within a range of system engineering
domains, e.g., computer science, software engineering, machine design,
electrical engineering, vehicular systems, aerospace applications, transport
systems, project management.
There is also an optional INCOSE provided course part mainly on management and
organizational aspects of industrial systems engineering, giving INCOSE
CSEP/ASEP certification. This course part is also given as an internal course
at Saab and recommended for managers in the organization or for
products/projects. It also demonstrates systems engineering at SAAB Aeronautics
VLS. See also further below under Credit.
Literature
The course will use a set of resources on theoretical as well as practical
matters pertaining to Systems Engineering.
• Peter Fritzson. Principles of Object-Oriented Modeling and Simulation
with Modelica 3.3. Wiley-IEEE Press, 2015.
• Donella Meadoww. Thinking in Systems. Chelsea Green Publishing, 2008.
• The DrModelica Interactive Electronic Notebook, downloadable from
www.openmodelica.org as part of OpenModelica
• Selected publications on lifecycle management, requirement
formalization and verification
• Functional Mockup Interface (FMI) Overview. Slide presentation.
• Papers on optimization
• Papers on systems engineering
• For tFhe INCOSE optional part: INCOSE Systems Engineering Handbook;
slides.
Lecturers
Peter Fritzson, IDA/Software and Systems
Lars Eriksson, ISY/Vehicular Systems
Kristian Sandahl, IDA/ Software and Systems
Robert Braun, IEI/Machine Design
Ola Leifler, IDA/ Software and Systems
Lena Buffoni, IDA/ Software and Systems
Lennart Ochel, RISE SICS East/ CPS
Erik Herzog, Saab, invited lecturer
Examiner
Peter Fritzson and Lena Buffoni
(Erik Herzog for the optional INCOSE part)
Examination
Joint project assignments on modeling, verification and simulation,
including the medium-sized course project on modeling and optimizing an
electric vehicle, and individual oral examination on theoretical matter and
project assignments at the end of the course.
Credit
6 HEC
It is possible to get 1-3 extra credits for a small project of your own choice,
or an extended version of an electrical vehicle modeling project or long-range
electrical aircraft project.
People who already know Modelica can/should skip the two Modelica course days
and the associated theoretical matter. However, to compensate, they should
suggest a small project or related theoretical matter of their own choice, to
be approved by the course leader.
On top of this, is also possible to get an additional 4 credits for an extra
add-on INCOSE provided course part mainly on management and organizational
aspects of systems engineering, giving INCOSE certificaiton. This will be given
as 8-9 extra 2h lectures with associated presentations and final written exam.
Lecturer: Erik Herzog. If you are interested, contact
Erik.Herzog@saabgroup.com.
People who already know Modelica can/should skip the two Modelica course days
and the associated theoretical matter. However, to compensate, they should
suggest a small project or related theoretical matter of their own choice, to
be approved by the course leader.
Comments
The course will be open for PhD students from several departments at LiU, most notably IDA, ISY, and IEI, as well as from industry.
Page responsible: Director of Graduate Studies