Advanced Model-Based Systems Engineering with OPM

This module teaches learners how to model conditional logic and decision points within Object-Process Diagrams. Students will understand how to represent branching paths and decision-making processes that occur based on specific conditions being met or evaluated in system models.

This module covers the use of logical operators (AND, OR, XOR) to model alternative inputs and outputs in OPM. Learners will understand how to represent multiple pathways and logical conditions that govern how processes interact with different objects and states.

This module focuses on modeling processes that split into multiple sequential paths. Students will learn how to represent scenarios where a single process branches into different execution sequences, each following its own timeline and logic.

This module teaches learners how to model repetitive or looping behaviors in systems. Students will understand how to represent iterative processes that repeat until certain conditions are met, including loops and cyclic system behaviors.

This module explores how to model processes that can be interrupted or suspended during execution. Learners will understand how to represent exception handling, interrupts, and scenarios where normal process flow is disrupted by external events or conditions.

This module covers the representation of probabilistic behaviors and system constraints in OPM. Students will learn how to model uncertainty, likelihood of different outcomes, and limitations or restrictions that govern system behavior.

This module teaches advanced techniques for elaborating and detailing the System Diagram. Learners will understand how to systematically refine the top-level system view into more detailed representations while maintaining model consistency and coherence.

This module introduces the hierarchical tree structure that represents the relationships between Object-Process Diagrams at different levels. Students will learn how to navigate and understand the tree structure that organizes refined diagrams in a hierarchical model.

This module focuses on understanding and utilizing the hierarchical organization of OPM models. Learners will explore how different levels of abstraction relate to each other and how to manage complexity through hierarchical decomposition.

This module teaches effective techniques for navigating through complex OPM models with multiple diagrams and refinement levels. Students will learn strategies for moving between different views and understanding the relationships between model components.

This module covers both the functional aspect of simulating OPM models to verify behavior and the visual aspects of creating clear, professional diagrams. Learners will understand how to run model simulations and apply aesthetic principles for effective model presentation.

This module addresses systematic approaches to identifying and documenting problems within systems using OPM. Students will learn how to recognize, model, and analyze problem occurrences as part of the requirements engineering process.

This module teaches learners how to capture and model system requirements using OPM. Students will understand how to translate stakeholder needs and system specifications into formal OPM models that guide system design and development.

This module focuses on establishing evaluation criteria for system designs and solutions. Learners will understand how to define measurable criteria that can be used to assess whether proposed solutions meet requirements and objectives.

This module teaches learners how to develop and model solution designs using OPM. Students will understand how to create comprehensive models that represent proposed solutions to identified problems, incorporating all necessary system elements and behaviors.

This module covers the process of conducting and documenting design reviews using OPM models. Learners will understand how to use models as communication tools during review processes and how to incorporate feedback into model refinements.

This module explores how OPM models facilitate virtual integration of system components before physical implementation. Students will learn how to use models to verify that different subsystems and components will work together correctly.

This module provides a comprehensive case study of modeling a complex natural system using advanced OPM techniques. Learners will see how to apply all previously learned concepts to create a detailed, accurate model of natural phenomena or ecosystems.

This module presents a detailed case study of modeling a sophisticated technological system using advanced OPM approaches. Students will observe the application of advanced modeling techniques to real-world technological systems, integrating all course concepts.

This module provides a comprehensive review of all advanced OPM concepts and techniques covered in the course. Learners will consolidate their understanding and reflect on how to apply advanced modeling approaches to their own systems engineering challenges.