Systems Engineering is a multidisciplinary approach to designing and managing complex systems, ensuring all components work seamlessly together. It integrates various engineering disciplines and methodologies to address challenges throughout the system lifecycle. Embark on a comprehensive journey through Systems Engineering, spanning five tracks designed to equip you with a multifaceted understanding of this dynamic field. Begin by mastering the fundamentals in the first track, including the engineering design process, system architecture, and systems thinking. Moving to the next track, delve into Requirements Engineering, where you'll explore elicitation, analysis, validation, and management to ensure stakeholder needs are effectively met. Explore the Systems Engineering process, covering analysis, modeling, design principles, collaborative design, standards compliance, and lifecycle management for complex systems. Dive into decision analysis and management, focusing on safety, reliability, optimization, testing, validation, and operation, along with modern approaches like Model-Based Systems Engineering and concurrent engineering. In subsequent tracks, you'll delve into advanced topics such as system safety, reliability, optimization, testing, validation, and operation, along with modern approaches like Model-Based Systems Engineering and concurrent engineering. In the last track, explore process enhancements, including lifecycle management, governance, risk management, supply chain management, and organizational culture development. Specialized applications across domains such as cybersecurity, aerospace, healthcare, and smart mobility will further enhance your expertise, preparing you to lead and innovate in the ever-evolving landscape of Systems Engineering. By venturing on this comprehensive journey, you'll gain the knowledge and skills needed to navigate the intricacies of system design, optimization, and management, empowering you to contribute effectively to the development of innovative solutions in various fields.
In this track of the Systems Engineering Journey, the focus will be on system engineering process, system design, system development, and system integration & verification.
Systems engineering is a holistic approach to engineering that considers the system, including its components, interactions, and environment. It aims to ensure that the system meets the needs and expectations of its stakeholders while satisfying technical, performance, and safety requirements. In this course, you will be introduced to systems engineering, beginning with a discussion of its systems engineering principles, the systems engineering life cycle, the systems engineering process, the V-model, the iterative process model, and lean engineering. Then you will learn about process integration, systems engineering and complex systems, and how systems engineering compares to similar disciplines. Finally, you will explore system types and engineering product development.
Systems engineering aims to ensure that the system meets the needs and expectations of its stakeholders while satisfying technical, performance, and safety requirements. To accomplish that feat, it's important to understand systems engineering principles, planning, and process design. In this course, you'll learn about engineering systems, beginning with the importance of engineering, the systems engineer role, engineered system context, and the impact of systems engineering on project management. Then you'll dig into the benefits of systems engineering, how systems engineers solve complex problems, and systems engineering plans and planning. Finally, you'll explore the engineering design process, its key principles and advantages, solving engineering design process problems, and how to create an engineering design process project.
Systems engineering involves a structured and iterative process of defining, analyzing, designing, validating, and verifying the system. System architecture and design are key elements of that process and require a significant amount of understanding in order to complement how everything works together in the system engineering process. In this course, you will explore system architecture and design, beginning with system architecture and components, system requirements, and modeling and simulation. Then you will learn about considerations for system requirements, system modularity, and standardization. Next, you will examine stakeholders and stakeholder needs and requirements. Finally, you will explore the principles of system design, investigate metrics for evaluating system designs, and find out how to evaluate a system.
Systems Engineering requires effective communication and collaboration among various stakeholders, including customers, users, designers, developers, testers, and managers. Systems thinking is a way of understanding complexity and looking at systems in their entirety. In this course, you will begin with an introduction to systems thinking, its philosophy, and principles. Then you'll learn about the advantages of systems thinking, key systems thinking concepts, and common systems thinking tools. Finally, you'll look at systems thinking as it relates to systems engineering and how systems thinking can be applied to real-world problems.
Final Exam: Associate Systems Engineer will test your knowledge and application of the topics presented throughout the Associate Systems Engineer track.
Requirements engineering is the process of eliciting, analyzing, validating, and managing the requirements for a system. In this course, you will discover the basics of requirements engineering, beginning with the principles, types, and activities associated with requirements engineering. Then you will explore the requirements engineering process, how requirements engineering relates to the system development life cycle, and how stakeholders can be engaged in the process. Finally, you will learn about requirement baselines and creating a requirements document. This learning path introduces learners to the requirements engineering process, from the basics of eliciting and documenting requirements, to advanced techniques for managing and validating requirements.
The requirements engineering process is critical to the success of a project because it ensures that the system meets the needs of stakeholders and is delivered on time and within budget. In this course, you will dig into requirements elicitation, beginning with what elicitation is, elicitation techniques, and how to engage in elicitation. Then you will learn how stakeholders relate to elicitation, including how to identify both stakeholders and their needs. Next, you will explore system boundaries and the role of prototypes and models. Finally, you will learn how to identify and document requirements, how to validate requirements, and how to conduct a requirements elicitation session. This learning path introduces learners to the requirements engineering process, from the basics of eliciting and documenting requirements to advanced techniques for managing and validating requirements.
System analysis and modeling offer a multitude of benefits and understanding their principles is crucial. By identifying various types of system models and modeling languages, one can effectively create and analyze system models using specialized tools. You will begin this course by exploring the benefits of systems analysis and modeling. You will discover various types of system models and take a deeper look at the characteristics of the Unified Modeling Language (UML). Next, you will look at the elements and components of system modeling tools. You will learn to analyze and create system models using a modeling tool. Finally, you will explore how to simplify modeling using common frameworks, identify and address the limitations of modeling and create and interpret models in real-world systems.
The significance of user-centered design (UCD) in system development cannot be overstated. Recognizing various techniques and methods for user-centered design enables the creation of systems that truly cater to user needs. In this course, you will look at the importance of conducting user research and analysis to allow for a deep understanding of user behaviors and preferences, thereby influencing system design decisions. You will learn how emphasizing the role of human factors in system design ensures that the user's experience is prioritized and optimized. Next, you will discover potential challenges and limitations of user-centered design and how to overcome them through the creation of user personas and scenarios. Finally, you will explore a case study that involves conducting a comprehensive user research study, creating user personas and scenarios, and utilizing them as insights to inform the design of the system.
Systems engineering design principles offer a plethora of benefits that are essential for successful system development. By understanding these principles, individuals can navigate the different stages of the systems engineering life cycle with confidence and precision. Begin this course by exploring the principles and benefits of systems engineering design and different systems engineering life cycle models. Next, you will discover how to conduct a thorough systems analysis and identify system requirements to enable the creation of robust and tailored solutions. Then you will investigate the role of trade-off analysis to ensure that design decisions are made intelligently, considering various factors and constraints. Finally, you will examine the challenges and limitations of systems engineering design and learn how to conduct risk analysis and mitigation strategies to effectively address potential pitfalls.
Tools and techniques play a pivotal role in the field of systems engineering design, offering a wealth of possibilities and advantages. Understanding their significance is key to achieving optimal outcomes. Begin this course by exploring the tools and techniques used in systems engineering design. You will learn how to use modeling tools like systems modeling language (SysML) and unified modeling language (UML) to create detailed and accurate representations of systems and facilitate effective design and analysis. Then you will discover the SysML requirement diagram, structure diagram, behavior diagram, and allocation table. Next, you will investigate simulation tools to further enhance the design process by providing the means to simulate system behavior and assess performance. You will identify the challenges and limitations of using tools and techniques in system design. Finally, you will find out how a design of experiments (DOE) analysis empowers individuals to overcome obstacles and optimize system design.
In today's interconnected world, collaborative system design is an important approach to crafting responsive, outcome-driven systems. It engages all stakeholders in defining system components and functionality, ensuring a holistic approach to problem-solving and innovation. In this course, you will take a deep dive into collaborative system design, including its advantages, various approaches and methodologies, challenges and limitations, and tools and techniques for facilitating collaboration in system design. Then you will find out how to use Google Meet to create meetings and encourage collaboration. Next, you will learn how to evaluate and document a collaborative system design session. Finally, you will explore stakeholder feedback in order to make collaborative system design decisions and to improve an existing system.
System design standards and compliance are critical parts of system design and integration. In this course, you will discover the importance of system design standards and regulations and investigate the impact of those standards on different stakeholders and the wider society. Then you will focus on the challenges and limitations of system design regulations. Next, you will learn how to develop a compliance checklist to ensure a design complies with regulatory requirements and national and international standards. You will use system design standards and compliance principles to address a real-world problem and you will explore system design best practices. Finally, you will develop a compliant design for a given system.
The system development process includes several steps that ensure the successful creation, utilization, and retirement of systems and is critical for creating effective and efficient systems. In this course, you will explore the essential stages, activities, and methodologies in the system development process. Then you will focus on the impact of the system development process on system quality, cost, and time to market, and investigate different tools for managing the system development process. Next, you will discover how to plan and monitor a system development project by applying project management principles. You will learn how to create a project charter and a requirements specification, and how to refine a system development plan based on feedback from key stakeholders. Finally, you will examine the lessons learned process and find out how to use a project management tool to plan and monitor a system development project and report progress against milestones.
An important part of systems design and integration is ensuring that the requirements of the system are satisfied. This can be accomplished by performing system integration and verification. These processes involve combining various system elements and verifying their correctness to ensure that systems function as intended. Begin this course by discovering key concepts of system integration and verification, including different tools, techniques, and approaches. Next, you will investigate the impact of system integration and verification on system quality, cost, and time to market. You will learn how to improve existing systems by applying integration and verification principles and how to develop a system integration and verification plan. Then you will explore best practices and lessons learned from a high-profile system failure resulting from poor integration and verification. Finally, you will learn how to test the integration and verification of a system using a simulation tool.
Systems engineering is a multidisciplinary approach to designing, building, and deploying systems, often complex systems. Although complex systems are greater than the sum of their parts, understanding individual components is still an absolute necessity, and systems engineers are uniquely qualified to understand and design for complexity. In this course, you'll be introduced to systems engineering for complex systems, including the complex systems engineering process, system-level models for complex systems, complex system architectures, and complex system verification and validation. Then you'll delve into stakeholder engagement, risk management, and decision management for complex systems. Finally, you'll explore standards and guidelines, how to develop a complex system architecture, and how to create a system verification and validation plan.
Today's systems have grown increasingly complex to meet more demanding requirements. Various forms of risk have increased along with that complexity. Systems experts have responded by finding effective new ways to analyze risk and implement systems engineering strategies for maximizing safety and reliability in a complex environment. In this course, you will learn what is meant by safety and reliability and how those concepts relate to managing risk. You will explore how to identify risk in a complex system. You will also discover how to implement, evaluate, and continuously improve safety and reliability in system design. You will learn the importance of following industry systems and regulations. Finally, you will analyze case studies that demonstrate what happens when risk management fails.
A large part of managing risk in today's complex systems is system testing and validation. Implementing effective testing strategies throughout the system life cycle results in stable and reliable systems. In this course, you will learn how testing and validation helps to ensure system functionality and performance. You will explore how to develop and apply common system tests through the system life cycle and discover how to analyze the results of those tests and match tests to system requirements. Next, you will learn useful testing techniques like prototyping, simulation, and utilizing user feedback. Finally, you will examine some case studies that show what can happen when proper system testing is not followed.
Once a system has been tested and proven to be reliable, there is still the concern of performance. There are many strategies for testing the performance of systems using performance measurements of the system's data. In this course, you will explore how key performance indicators (KPIs) help to manage performance in complex systems. You will learn how to define, track, analyze, and interpret KPIs and see what part KPIs play in decision-making. Next, you will discover how to report performance measurements and how to use KPIs to improve your system's performance. Finally, you will explore performance measurement best practices and common challenges.
Today's systems have grown increasingly complex to meet more demanding requirements. Various forms of risk have increased along with that complexity. In response to these increasingly complex systems and demanding requirements, systems experts are finding effective new ways to analyze risk and implement systems engineering strategies for maximizing safety and reliability in a complex environment. In this course, you will learn advanced system architecture and design principles, starting with architectural methodologies and principles, the role of systems architecture, and the relationship between system architecture and system requirements. Then you will explore architecture types, system architecture techniques, and system design trade-offs. Next, you will examine architectural patterns and key system architecture design capabilities. Finally, you will dig into system integration and interfacing, systems engineering and MBSE tools, and system architecture design case studies.
Today's systems have grown more complex to meet increased demand from requirements. Once a system has been tested and proven to be reliable, there is still the concern of performance. A significant portion of systems management requires optimization and performance tweaking, and monitoring systems is a key activity for determining how to optimize and what to optimize. In this course, you will dig into systems optimization principles and optimization modeling. Then you will focus on requirements vs. design, as well as sensitivity analysis and scenario analysis. Next, you will explore data analysis and monitoring, decision analysis, and simulation and optimization techniques. Finally, you will examine resource constraints, continuous optimization case studies, and optimization and resource allocation case studies.
Change is inevitable, and dealing with it isn't always easy, but it's an integral part of business. In systems operation and maintenance, ensuring system reliability and necessary performance are key activities for systems engineers. In this course, you'll learn about system operation and maintenance with a focus on change management. You'll begin with systems operations and maintenance planning, change management in engineering, dealing with system change, and risk management strategies. Then, you'll dig into configuration management and version control, upgrades, patches, and maintenance, and dealing with obsolescence. Finally, you'll explore system performance monitoring, continuous improvement and optimization, change management case studies, and system monitoring and diagnosis.
Model-based Systems Engineering (MBSE) is the use of models to support system requirements, design, analysis, verification, and validation. It's a disciplined approach to systems engineering that places the focus on domain models. MBSE allows for a more visual and intuitive representation of system elements, relationships, and interactions, improving the understanding and analysis of complex systems. In this course, you'll be introduced to MBSE, beginning with system model creation, capturing system requirements, and MBSE and the System Development Life Cycle (SDLC). Then you'll delve into simulating system models, verifying and validating system models, integration and MBSE, and traceability and MBSE. Finally, you'll explore MBSE tools, challenges and best practices in MBSE, collaboration in MBSE, and the future of MBSE.
Sparx Systems Enterprise Architect (Sparx EA) is a visual modeling and design tool that enables software system design, business process modeling, and industry domain modeling. It's a powerful tool that enterprises can leverage to model system architectures and enact implementations. This course will introduce you to complex systems modeling with Sparx EA, beginning with an overview of Sparx EA and its features, how to get started with Sparx EA, and creating SysML diagrams with Sparx EA. Then you'll learn about relationships and dependencies, simulation and behavior, setting up and validating a simulation, and traceability with Sparx EA. Finally, you'll delve into tracing relationships with Sparx EA, diagramming with Sparx EA, Sparx EA integration, and enterprise architecture best practices.
Concurrent engineering is a collaborative and integrated approach that promotes the involvement of multiple disciplines, stakeholders, and activities simultaneously during the system development process. It aligns with modern systems engineering practices by encouraging early and continuous collaboration, communication, and information sharing among different experts and teams. In this course, you'll be introduced to concurrent engineering, beginning with an overview, the benefits and challenges of concurrent engineering, and how the systems engineering role is changing. Then you'll explore stakeholder engagement in concurrent engineering, collaboration in multidisciplinary teams, conflict management in collaborative environments, and collaboration tools and techniques. Finally, you'll learn about concurrent engineering and decision-making, communication in concurrent engineering environments, achieving success with concurrent engineering, and some real-world use cases of concurrent engineering.
Process enhancements refer to the deliberate and continuous improvement of systems engineering practices to optimize project outcomes. These enhancements focus on refining and streamlining processes, methodologies, tools, and techniques used in systems engineering. In this course, you will explore system life cycle process and models management, beginning with the system development life cycle, phases of the system development life cycle, systems engineering processes, and customizing and tailoring system life cycle processes. Then you will dig into cross-functional teams, advanced requirements modeling, and managing complex systems. Next, you will examine configuration management, current trends and emerging technologies for requirements management, and project planning. You will focus on dependency management, risk management tools and techniques, and risk analysis. Finally, you will discover performance optimization techniques, process optimization methodologies, modeling requirements with SysML, risk analysis techniques, and model-based systems engineering (MBSE).
Process enhancements enable teams to work more efficiently, reducing waste, rework, and inefficiencies. Well-defined and enhanced processes facilitate effective communication, collaboration, and alignment among stakeholders, including cross-functional teams, customers, suppliers, and management. In this course, you will discover system governance and standardization, including system governance roles, system governance processes and procedures, and measuring and monitoring compliance. Then you will learn about stakeholder engagement and communication, governance frameworks and industry standards, risk management principles, and change management. Next, you will explore system governance challenges, lessons learned, and best practices. Finally, you will find out how to create a system governance plan and how to apply risk management techniques.
Streamlined processes lead to improved productivity, shorter project timelines, and cost savings. By implementing process enhancements, systems engineers can ensure high-quality deliverables and robust systems. These improvements minimize errors, enhance reliability, and increase customer satisfaction. In this course, you will be introduced to technical planning and risk management. You will begin with technical planning best practices, project planning, estimating project resources, costs, and durations, and technical risk management. Then you'll delve into identifying risks, the risk management process, risk analysis, project dependencies, dependencies management, stakeholder engagement, and stakeholder engagement strategies. Finally, you'll explore change management, change management benefits and disadvantages, project contingency and mitigation planning, how to create a project plan, and how to apply risk identification.
Well-defined and enhanced processes facilitate effective communication, collaboration, and alignment among stakeholders, including cross-functional teams, customers, suppliers, and management. Process enhancements foster a culture of continuous improvement, promoting learning, knowledge sharing, and the adoption of best practices. This leads to iterative refinement and optimization of systems engineering processes over time. In this course, you will discover supplier and contract management, beginning with supply chain management and procurement and acquisition in systems engineering. Next, you will investigate supplier management, contract management principles, and contract governance. Then you will explore supplier performance management, supply chain risk, procurement cost management, and supply chain management case studies. Finally, you will learn about building a contract management strategy, supplier selection and evaluation, and contract negotiation techniques.
Process enhancements refer to the continuous improvement of systems engineering practices to optimize project outcomes. By implementing enhancements, systems engineers can ensure high-quality deliverables and robust systems. These improvements minimize errors, enhance reliability, and increase customer satisfaction. In this course, you will discover enterprise data platforms and systems engineering, beginning with enterprise data platforms and components of enterprise data platforms. Next, you will investigate the role of enterprise data strategy and find out how to build an enterprise data strategy. Then you will focus on data analysis and visualization, data protection and privacy, data modeling and integration modeling. You will examine warehousing, integration tools, and analytics and systems engineering. Finally, you will explore data-driven collaboration, dig into an enterprise data platform case study, and learn how to implement an enterprise data platform.
In today's rapidly evolving technological landscape, organizations deal with increasingly complex and interconnected systems, and systems engineering requires close collaboration and effective communication among cross-functional teams. In this course, you will explore leadership and financial management in systems engineering, beginning with leadership skills, leadership approaches, and communication strategies for systems engineering teams. Next, you will investigate stakeholder engagement strategies. Then you will discover financial management principles and practices, budgeting and resource allocation, project financial management, and the impact of financial choices and regulations. Finally, you'll dig into legal and ethical considerations, consider systems engineering case studies, and engage in making financial decisions in a systems engineering project.
A strong systems engineering culture helps organizations effectively manage the complexity and ensure the successful development and integration of these systems. In this course, you'll explore advancements in systems engineering, beginning with evolutionary development, continuous improvement in systems engineering, methodologies and frameworks, developing systems engineering capabilities, and emerging trends in systems thinking. You'll then dig into emerging trends in systems engineering, model-based systems engineering (MBSE), digital twins, artificial intelligence (AI) and machine learning (ML) in systems engineering, and system of systems (SoS) challenges and opportunities. Finally, you'll learn about Agile methodologies, benefits and challenges of Agile engineering, how Agile engineering enhances collaboration, flexibility, and adaptability, Agile engineering case studies, and utilizing Agile to develop a system.
Building an organizational-level systems engineering culture enables organizations to tackle the challenges posed by complex systems, enhance collaboration and communication, mitigate risks, align with industry standards, and drive continuous improvement. In this course, you'll explore systems engineering for cybersecurity and software intensive systems, beginning with security and systems engineering, system safety, system hardware assurance, system design and threat modeling, risk planning and identification, and secure coding practices. Then, you'll learn about software security testing, secure software verification and validation standards, compliance, DevSecOps, and secure continuous integration/continuous delivery (CI/CD). Finally, you'll dig into cloud security, virtualization security, cybersecurity trends, cybersecurity case studies, and analyzing software security vulnerabilities.
Today's increasingly complex and interconnected systems often involve multiple stakeholders, diverse technologies, and intricate interdependencies. A strong systems engineering culture helps organizations effectively manage this complexity and ensure the successful development and integration of these systems. In this course, you'll learn about systems engineering for aerospace and defense, beginning with industry standards, requirements management and traceability, and system integration and verification. Then you'll explore safety and reliability engineering, risk management, configuration management, system architecture design and trade-off analysis, and defense system acquisition and procurement. Finally, you'll have a chance to consider unmanned aerial vehicle (UAV) design, aerospace and defense trends, aerospace and defense engineering case studies, and designing and verifying integration of avionics systems.
Embracing a systems engineering culture allows organizations to align with industry standards, frameworks, and best practices. This ensures consistency, interoperability, and compliance with regulations and industry requirements. Organizations can leverage established systems engineering methodologies and practices to improve project outcomes and meet customer expectations. In this course, you will learn about systems engineering in healthcare, beginning with ways to improve healthcare systems, patient safety in healthcare, and risk management in healthcare. Then you will dig into medical device integration in healthcare, healthcare informatics and data analysis, and process improvements in healthcare delivery. Next, you will investigate regulatory and compliance requirements and systems engineering in telemedicine and remote patient monitoring. Finally, you will explore challenges and opportunities in electronic health records (EHRs), healthcare technology trends, healthcare implementation case studies, and the healthcare delivery process.
An organizational-level systems engineering culture establishes a foundation for successful and sustainable systems engineering practices within an organization, leading to improved project outcomes and long-term competitiveness. In this course, you'll explore systems engineering and smart mobility solutions, trends in smart mobility, systems engineering in the automotive industry, and integrating automotive systems in smart cities. Then, you'll consider the challenges of connected and autonomous vehicles (CAVs), vehicle-to-infrastructure (V2I) and vehicle-to-everything (V2X) communication, Intelligent Transportation Systems (ITS) and Advanced Driver Assistance Systems (ADAS), and cybersecurity and privacy in automotive and smart city systems. Finally, you'll learn about Internet of Things (IoT) and smart mobility, smart mobility policy and regulation, smart city automotive case studies, and integration of connected vehicles and traffic management systems.
Final Exam: Principal Systems Engineer will test your knowledge and application of the topics presented throughout the Principal Systems Engineer track.
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