• Length:
    5 Weeks
  • Effort:
    5–6 hours per week
  • Price:

    FREE
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  • Institutions
  • Subject:
  • Level:
    Advanced
  • Language:
    English
  • Video Transcript:
    English

Associated Programs:

Prerequisites

The course "MBSE 102 - Model-based Systems Engineering: Advanced Approaches with OPM is a continuation for MBSE 101.
Therefore, learners must take MBSE 101 before taking MBSE 102, since it is a prerequisite.

About this course

Skip About this course

This course is the continuation of the basic MBSE with OPM course.

Model-based systems engineering (MBSE) is a contemporary systems engineering methodology that uses conceptual models for communication between system architects, designers, developers, and stakeholders. Object-Process Methodology (OPM, ISO 19450) is an MBSE language and methodology for constructing domain-independent conceptual models of all kinds of systems. The course provides systems engineers and others with advanced knowledge and tools for MBSE with OPM, focusing on conceptual modeling of systems, giving learners a competitive advantage over their peers.

OPM has a small set of symbols and one kind of diagram, making it easy to learn and enjoyable to use. Every OPM model is composed of objects and processes, connected by relations. OPM models include two ways of expression: graphical (Object-Process Diagram) and verbal (Object-Process Language). The methodology enables complexity management of systems via hierarchical composition. OPM is a formal yet intuitive approach to conceptual modeling. It is implemented in OPCloud, a novel Web-based OPM modeling environment.

During the course, you will learn the process of system design and development using MBSE with OPM. The course content was produced to be informative and entertaining. You will model various real-life systems in OPM - mainly technological, but also social and natural. Learning is made interactive through diverse, engaging exercises.

What you'll learn

Skip What you'll learn

Refining Object-Process Diagrams through advanced concepts, including:

● Conditions & decisions

● Logical operators

● Path defining and following

● Iterations

● Process duration

● Interruptions

● Probabilities and constraints

● Problem definition and requirements modeling

● Solution and system design through modeling

Conditions and Decisions, Alternative inputs and outputs: Logical Operators, Divergent Sequential Paths, Iterative Sequences, Interruptions to Sequence, Probabilities and Constraints, Refining the System Diagram, OPD Tree, Hierarchical view, Model navigation, Model Simulation & Aesthetics, Problem occurrence, Requirements modeling, Criteria Setting, Solution Modeling,Design Reviews, Virtual Integration, Advanced modeling example of a natural system, Advanced modeling example of a technological system, summary.

Meet your instructors

Dov Dori
Professor
IsraelX

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