Released 12/2024
MP4 |
Free Download Video: h264, 1280x720 |
Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning |
Language: English |
Duration: 26h 19m |
Size: 6.86 GB
Master the art of model-based systems engineering with the OOSEM Accelerator™ MBSE Methodology Training Course, designed to elevate your skills and boost project success.
Overview
The OOSEM Accelerator™ MBSE Methodology Training Course provides Model Based Systems Engineering methodology training. This course focuses on the OOSEM modeling methodology and CSM tool mechanics. The focus of this course is not on learning the SysML language, or SysML notations and grammar rules. Proficiency in SysML is therefore a prerequisite for this course.
This course guides participants through the INCOSE Object-Oriented Systems Engineering Method (OOSEM) by building a model step-by-step using the Cameo Systems Modeler tool. The course emphasizes hands-on learning, covering everything from capturing stakeholder concerns to creating detailed structural and behavioral models using SysML diagrams.
About the Instructor
Lenny Delligatti is the COO and system architect of the Delligatti Associates system, designing the company's organizational structure and processes. He is also the creator of the company's training courses and serves as a trainer and principal consultant on client engagements. Prior to founding Delligatti Associates, Lenny was a U.S. Navy officer and later a senior systems and software engineer with Lockheed Martin, serving as the MBSE lead for NASA's Mission Control Center: 21st Century (MCC-21) project at Johnson Space Center in Houston, Texas.e holds the INCOSE Certified Systems Engineering Professional (CSEP) certification, the OMG Certified Systems Modeling Professional (OCSMP) Model Builder: Advanced certification, and the OMG Certified UML Professional (OCUP): Advanced certification. He has created and delivered hundreds of hours of classroom instruction to thousands of systems and software engineers on the topics of UML, SysML, MBSE methodology, and design principles and heuristics, enabling many to earn OMG certifications and lead MBSE efforts on their projects. Lenny is the author of the book SysML Distilled: A Brief Guide to the Systems Modeling Language,
Published: by Addison-Wesley in 2013.
Learn How To
The course provides comprehensive coverage of the INCOSE Object-Oriented Systems Engineering Method (OOSEM), ensuring participants gain a deep understanding of this specific methodology.
Participants engage in practical, hands-on training using the Cameo Systems Modeler tool, building a SysML model step-by-step, helping solidify theoretical concepts through real-world application.
Expert instructor (Level 4), guarantees high-quality instruction from a recognized expert in the field of MBSE and SysML.
Offers a structured, intensive learning experience, allowing participants to immerse themselves fully in the material and gain a thorough understanding of OOSEM and its applications.
Who Should Take This Course
System engineer, model-based systems engineer, systems architect, systems modeling practitioner. These roles are crucial in industries where complex systems are developed and maintained, such as aerospace, defense, automotive, and telecommunications. .
Course Recommendations
We recommend Cameo Systems Modeler version 2021x Enterprise Edition be installed on learner's computer. (The tool vendor Dassault Systèmes will provide a complimentary 30-day license for Cameo Systems Modeler that can be used for this course.)
Lesson Descriptions
Module 1: Introduction to MBSE and OOSEM
This module covers the roots of the return-on-investment from practicing MBSE, with supporting data.
Module 2: Creating an Effective Model Structure
This module covers the design activities in the Object-Oriented Systems Engineering Method (OOSEM) modeling methodology.
Module 3: Partitioning design elements
This module covers creating an effective model structure for partitioning design elements and representing that model structure on SysML package diagrams.
Module 4: Capturing Stakeholders and Their Concerns
This module covers capturing stakeholders and their concerns in a SysML model.
Module 5: Graphical Representation of System Use Cases
This module covers modeling system use cases and actors with SysML use case diagrams.
Module 6: Structural Modeling of a System's Domain
This module covers creating SysML activity diagrams to graphically represent system use case specifications.
Module 7: Modeling System Requirements and Traceability
This module covers creating a structural model of a system's domain and representing it on SysML block definition diagrams (BDDs) and internal block diagrams (IBDs).
Module 8: Structural Modeling of a System's Architecture
This module covers modeling system Requirements and traceability relationships with SysML Requirements diagrams, matrices, and tables.
Module 9: Behavioral Modeling of the System
This module covers creating a structural model of a system's architecture and representing it on SysML BDDs and IBDs.
Module 10: Modeling Interfaces and Object Flow
This module covers modeling interfaces and object flow in dynamic and static views of the system, and creating a behavioral model of the system via decomposition of use case level behaviors.
Module 11: State-Based Behavior Representation
This module covers allocating system behaviors to system structures, and creating SysML state machine diagrams to represent the state-based behavior of system structures.
Module 12: Using the MagicDraw SysML Modeling Tool
This module covers the mechanics of operating the Cameo Systems Modeler SysML and modeling tool to create and simulate a system mode.
DOWNLOAD NOW: OOSEM Accelerator™ MBSE Methodology Training Video
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No Password - Links are Interchangeable
esign and implement data storage (15-20%)Develop data processing (40-45%)Secure, monitor, and optimize data storage and data processing (30-35%)This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here's is the structured outline of the course sections:1. Introduction and SetupOverview of the course and initial setup.2. Design and Implement Data StorageAzure Data Lake: Understanding and implementing data storage with Azure Data Lake.Azure SQL Server: Designing storage solutions using Azure SQL Server.Cosmos DB: Exploring storage capabilities with Cosmos DB.Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.3. Develop Data ProcessingAzure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.Azure Databricks: Implementing data processing workflows with Azure Databricks.Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.Azure Stream Analytics: Real-time data stream processing with SQL-based queries.4. Secure Your DataAzure Data Lake Security: Implementing security best practices for Azure Data Lake.Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.4. Monitor and OptimizeAzure Data Lake Storage: Monitoring and optimizing storage performance.Azure Data Factory: Ensuring efficient operations with monitoring tools.Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.5. Exam PreparationPast Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
