Preparing your Path…
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Path Catalog
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A beginner-friendly introduction to astronautics, covering the space environment, orbital mechanics, launch systems, and spacecraft subsystems. This path builds an intuitive understanding of how spacecraft operate in orbit and what it takes to design and fly a space mission.
This learning path introduces high school students to the fundamental principles of flight and the main components of an aircraft. Starting with the atmosphere and basic physics, it covers the four forces of flight—lift, weight, thrust, and drag—and explains how they interact. The path concludes with an overview of aircraft components and how they contribute to flight.
A systematic beginner-level path covering core physics concepts needed for aerospace engineering, including mechanics, thermodynamics, fluid dynamics, and wave motion. Each concept is linked to its aerospace application, building a foundation for further study.
A systematic path covering the core mathematical tools needed for aerospace engineering, from basic algebra through vectors and differential equations. Designed for pre-engineering high school students, it builds a strong foundation for future aerospace coursework.
This learning path introduces high school students to the foundational concepts of aerospace engineering. It covers the history and scope of the field, the basics of flight and space, and the environments in which aircraft and spacecraft operate. By the end, learners will understand the core principles and vocabulary of aeronautics and astronautics.
A comprehensive graduate-level learning path designed to equip systems engineering researchers with essential skills in problem formulation, literature review, modeling and simulation, empirical research, scientific writing, and research ethics. The path progresses from foundational research methodology through advanced application, emphasizing practical research competence.
This advanced graduate-level path introduces the engineering principles behind quantum systems, covering quantum computing, sensing, and communication. Starting from quantum mechanics and systems engineering foundations, it progresses through quantum hardware, control, and systems integration, preparing learners to design and analyze practical quantum technologies.
This graduate-level learning path equips learners with the knowledge and skills to design resilient systems. It covers foundational concepts of resilience, risk management, and system design, progressing through analysis, design strategies, and practical applications.
This graduate-level learning path equips learners with the knowledge and skills to design sustainable systems using systems engineering principles. It covers systems thinking, lifecycle thinking, sustainability metrics, and design for environment, culminating in an integrated capstone project.
This graduate-level learning path equips learners with the knowledge and skills to apply artificial intelligence across systems engineering processes, including requirements engineering, design, testing, and optimization. It covers foundational systems engineering principles, essential AI and data analytics concepts, and practical applications, culminating in an integrated project.