Preparing your Path…
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Path Catalog
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7801 Paths · page 305 / 781
This learning path guides junior university students from foundational systems thinking through SysML modeling to simulation and validation. It emphasizes the prerequisite relationships between systems concepts, modeling notations, and simulation techniques, culminating in a capstone project that integrates all skills.
This learning path introduces junior students to the core practices of eliciting, analyzing, and managing system requirements within a systems engineering context. It covers requirement types, traceability, validation, and management tools, building from foundational systems engineering concepts.
This learning path guides junior university students through the essential knowledge and skills needed to design system architectures from requirements. Starting with systems thinking and requirements analysis, it progresses through functional and physical architecture design, interface definition, and concludes with architecture evaluation and documentation. The path emphasizes the relationships between these concepts and their application in systems engineering.
A beginner-friendly path that introduces the engineering design process through its core stages: defining requirements, generating concepts, prototyping, and testing. Learners will understand how these stages connect and why each is essential to creating successful designs.
This learning path introduces high school students to the fundamental principles of project management within the context of systems engineering. It covers the project lifecycle, essential scheduling and budgeting techniques, and the importance of teamwork, providing a solid foundation for future career exploration.
This learning path introduces beginners to the core concepts of systems thinking, including systems, feedback loops, emergence, and complexity. Learners will develop the ability to recognize and analyze systems in everyday contexts, building a foundation for further study in systems engineering.
This learning path equips pre-engineering students with the essential mathematical tools used in systems engineering. It covers algebra, calculus, linear algebra, probability, and optimization, building a strong foundation for modeling and analyzing systems.
This path introduces high school students to the scope, history, and fundamental concepts of systems engineering. Learners will explore systems thinking, the system lifecycle, architecture, and integration, building a foundation for further study.
This learning path equips graduate students and researchers in industrial engineering with comprehensive research skills, from problem formulation to scientific writing and ethics. It covers literature review, modeling, experimental design, data analysis, and professional practices, ensuring a systematic approach to conducting rigorous research.
This advanced graduate-level path introduces the principles of industrial ecology, focusing on material flow analysis, life cycle assessment, and industrial symbiosis. It builds from sustainability fundamentals to systems thinking, then applies these concepts to real-world industrial systems.