Preparing your Path…
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Path Catalog
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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.
This learning path equips graduate students with an advanced understanding of human-robot collaboration (HRC) in industry. It covers foundational robotics concepts, industrial safety standards, human factors, and user experience design, culminating in the ability to design and evaluate HRC systems.
This path equips graduate students in industrial engineering with the conceptual and technical foundations to understand and evaluate blockchain applications in supply chain management. It covers blockchain fundamentals, traceability, and smart contracts, emphasizing their roles in enhancing transparency, efficiency, and trust.
This learning path equips graduate students in industrial engineering with the knowledge and skills to apply AI techniques to operations management, focusing on demand forecasting and optimization. It covers essential data analytics foundations, machine learning methods, and practical implementation strategies for real-world operations challenges.