Full course description
Course created in collaboration with the NMSU College of Engineering
Modality: Asynchronous*
Duration: 4-week course
Delivery: Online
Engaged Hours: 5-7 hours/ week
Language: English
Instructor: Brendan P. Sullivan
Prerequisites: Basic understanding of engineering principles
*This is not a self-paced course
Want to enhance your engineering skills and drive innovation? Step into the world of model-based systems engineering (MBSE) and learn to manage complexity like a pro! This introductory course offers a captivating overview of MBSE, revealing how its innovative techniques can enhance the systems engineering process by managing complexity, reducing risk, and streamlining design and development efforts. Get ready to explore various modeling scenarios and parameters that formalize real-world functions, operations, and requirements.
Course Quick Facts
Foundational Principles: Discover the key concepts of MBSE and how they differentiate from traditional systems engineering approaches.
Hands-On Learning: Engage in practical applications of MBSE techniques to model requirements and effectively communicate system functions across diverse scenarios.
Cutting-Edge Techniques: Learn to evaluate the role of ontologies in MBSE and develop essential system elements, including requirements, architectures, behaviors, and specifications.
Transform Your Understanding: Gain insights into how modeling is revolutionizing the systems engineering landscape and enhancing project outcomes.
About This Course
By the end of this course, you will be able to:
· Explain the distinctions between traditional systems engineering and MBSE.
· Discuss how modeling is integrated into the systems engineering process and its impact on project efficiency.
· Identify and communicate the core tenets of MBSE.
· Evaluate the significance of ontologies in MBSE applications.
· Develop comprehensive system requirements, architectures, and tests using MBSE techniques.
Courses Modules
This 4-week course is structured to provide a blend of theoretical foundations and practical applications, ensuring a well-rounded understanding of model-based systems engineering.
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Course Modules |
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Module One: Introduction to Systems Engineering Explore the foundational concepts of systems engineering, a crucial discipline that evolved from large-scale projects like the Manhattan Project, emphasizing its significance in today's complex technical systems and the transition to Model-Based Systems Engineering (MBSE). |
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Module Two: Requirements Delve into engineering requirements, which outline the necessary functions and stakeholder needs for a system. Understand how these requirements form the backbone of system architecture, integration, verification, and communication among project teams. |
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Module Three: Introduction to Model-Based Systems Engineering Discover Model-Based Systems Engineering (MBSE), a structured approach that utilizes modeling to enhance system requirements, design, and validation processes throughout the system development lifecycle. |
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Module Four: What are Models Learn about models as simplified representations that abstract complexity, enabling systems architects to clearly illustrate a system's structure and behavior while ensuring that models accurately reflect the actual system. |
Requirements
To succeed in this course, you will need:
- Basic understanding of engineering principles.
- Access to a computer with an internet connection (Windows 10/OS X 10.13 or higher).
- The latest versions of Chrome or Firefox with Javascript enabled.
- Proficiency with Microsoft Office applications.
- Ability to conduct research and send/receive emails with attachments.
- Capability to save backups of all coursework.
About The Instructor
Brendan P. Sullivan is a graduate student in industrial engineering at New Mexico State University (NMSU), holding a master's degree in political science with a minor in security and intelligence studies. Prior to NMSU, he studied electrical engineering, system informatics, and European Union environmental law in Finland and Austria.
Brendan currently serves as the project lead for NMSU's PACE Engineering Team, participating in a multinational competition with General Motors to develop a portable assisted mobility device for urban commuters. He is also the co-founder of Arrowhead Engineering Technologies, a startup focused on affordable water desalination for rural, underserved communities.
Brendan has three years of experience as a graduate research assistant at NMSU’s Physical Science Laboratory and has conducted research under Dr. Delia Valles for the USDA. He actively works to advance technology commercialization on campus, acting as a liaison between NMSU’s commercialization arm and the research community. Additionally, Brendan helps facilitate student startups through NMSU’s Studio-G business incubator.
He is a member of IIE and IEEE and serves as vice president of the NMSU IIE chapter.
Earn A Digital Badge
- Shareable online and on your resume.
- Enhanced visibility to employers.
- Validate your skills quickly.
- Align with industry standards.
- Showcase your achievements on platforms like LinkedIn to highlight your expertise and professional value.
Why Microlearning?
- Targeted Knowledge: Our microlearning approach breaks complex topics into manageable, engaging modules, making learning effective and enjoyable.
- Flexible Access: Study on your schedule. Access course materials anytime, from anywhere, and progress through the curriculum at your own pace.
- Advance Your Career: Equip yourself with the knowledge and skills to advance your career and drive innovation in your field.
Frequently Asked Questions
What is Microlearning?
Microlearning is an approach to learning that breaks complex topics into manageable, engaging modules, making learning effective and enjoyable. It emphasizes quick comprehension and long-term retention of information, often tailored to specific learning objectives and accessible on demand.
How does MBSE differ from traditional systems engineering approaches?
Unlike traditional systems engineering, which relies heavily on document-centric methods, MBSE emphasizes the use of models, making it easier to visualize, analyze, and validate system requirements and designs in a collaborative environment.
What is the importance of Model-Based Systems Engineering (MBSE) in modern engineering?
Model-Based Systems Engineering (MBSE) enhances the efficiency and effectiveness of engineering processes by using models to manage complexity, reduce risks, and improve communication across teams throughout the development lifecycle.
How much time should I expect to dedicate to this course each week?
Plan to spend approximately 5-7 hours per week on coursework, including watching lectures, participating in discussion boards, and working on assignments and projects.
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