Our mission is to prepare engineers for success and leadership in the Conception, Design, Implementation, and Operation (CDIO) of aerospace and related complex, high-performance systems. We intend to create a new integrated education, the goals of which are:

  • To provide students with a deep working knowledge of the technical fundamentals;
  • To educate engineers to be leaders in the creation and operation of new products and systems;
  • To instill in researchers an understanding of the importance and strategic value of their work.

These three goals are synergistic but distinct. Since the engineering science revolution of the 1950s it has been the goal of university technical education to teach the fundamentals. We are concerned that as education has become more abstract and more packed with topics, the depth and comprehensiveness of understanding of the fundamentals has declined. Therefore, we will create the learning environment that reinforces and deepens the understanding of the fundamentals, empowering our young engineers to use their knowledge and skills to create and innovate much more confidently and productively.

For more information, go to http://web.mit.edu/aeroastro/www/ .

Recent Submissions

  • 16.90 Computational Methods in Aerospace Engineering, Spring 2014 

    Willcox, Karen; Wang, Qiqi (2014-06)
    This course provides an introduction to numerical methods and computational techniques arising in aerospace engineering. Applications are drawn from aerospace structures, aerodynamics, dynamics and control, and aerospace ...
  • 16.412J / 6.834J Cognitive Robotics, Spring 2005 

    Williams, Brian Charles (2005-06)
    Cognitive robotics addresses the emerging field of autonomous systems possessing artificial reasoning skills. Successfully-applied algorithms and autonomy models form the basis for study, and provide students an opportunity ...
  • 16.36 Communication Systems Engineering, Spring 2003 

    Modiano, Eytan H. (2003-06)
    Introduces the fundamentals of digital communications and networking. Topics covered include elements of information theory, sampling and quantization, coding, modulation, signal detection and system performance in the ...

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