Aircraft Systems Engineering (MIT 16.885J)
by Jeffrey Hoffman · MIT OpenCourseWare
Systems engineering applied to aircraft through a case study of the Space Shuttle: cost and weight estimation, performance, safety and reliability, risk management, subsystems and lifecycle issues. Offers 23 lecture videos (about 41 hours), many given by outside program experts, plus lecture notes.
More resources on Systems Engineering
IISE - Institute of Industrial and Systems Engineers
The professional society for industrial and systems engineers, publishing ISE magazine, a body-of-knowledge outline, webinars, and its Problem Solved podcast. Useful for mapping what the discipline covers and which specialisations—supply chain, healthcare systems, ergonomics—exist.
incose.org
INCOSE.org is the official site of the International Council on Systems Engineering, a global professional society advancing the field of systems engineering. It offers information on membership, professional certification (CSEP/ESEP), chapters and events, standards and best practices, publications and news, and educational resources for practitioners.
r/systems_engineering
A practitioner subreddit where systems engineers discuss requirements work, model-based systems engineering tools, INCOSE certification, and career paths. Useful for candid views on what the job actually involves and which books and certifications carry weight.
SEBoK - Systems Engineering Body of Knowledge
A free wiki-based guide maintained by INCOSE, IEEE, and Stevens Institute that organizes the systems engineering discipline into lifecycle processes, management, and application domains. Use it to find accepted definitions, methods, and references on any systems engineering topic.
Fundamentals of Systems Engineering (MIT 16.842)
Covers the classical V-model and newer approaches: stakeholder analysis, requirements definition, system architecture, trade-space exploration, integration, safety, and verification and validation. Includes 21 lecture videos, slides and design assignments, preparing learners to take a system through a preliminary design review.
Optimization Methods in Management Science (MIT 15.053)
Theory, algorithms and applications of optimization for management: linear programming, network optimization, integer programming and decision trees, applied to logistics, manufacturing and finance. Offers lecture slides and problem sets with solutions, so learners can formulate and solve practical optimization models.