16.90 Computational Modeling and Data Analysis in Aerospace Engineering
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.
16.90 will not be offered this semester. It will be available in the Spring semester, and will be 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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