16.90 Computational Modeling and Data Analysis in Aerospace Engineering


Class Info

Introduces principles, algorithms, and applications of computational techniques arising in aerospace engineering. Techniques include numerical integration of systems of ordinary differential equations; numerical discretization of partial differential equations; probabilistic modeling; and computational aspects of estimation and inference. Example applications will include modeling, design, and data analysis.

This class has 16.001, 16.002, 16.003, 16.004, and 6.041B as prerequisites.

16.90 will be offered this semester (Spring 2018). It is instructed by Q. Wang.

Lecture occurs 2:30 PM to 4:00 PM on Mondays and Wednesdays in 33-319.

This class counts for a total of 12 credits.

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