# Computational Methods in Aerospace Engineering

An adaptive grid (top) used to compute the supersonic flow around a cylinder (Mach number = 2). The methods taught in this class form the foundations for computational fluid dynamic analyses such as this. (Image courtesy of Prof. David Darmofal. Used with permission.)

### Instructor(s)

Prof. Karen Willcox

Prof. Qiqi Wang

### MIT Course Number

16.90

### As Taught In

Spring 2014

### Level

Undergraduate

###

Some Description
Instructor(s) | Prof.
As Taught In | Spring 2002
Course Number | 2.24
Level | Undergraduate/Graduate
Features | Lecture Notes, Student Work

## Course Description

## Course Features

- Selected video lectures
- Captions/transcript
- Interactive assessments
- Lecture notes
- Projects and examples
- Assignments: problem sets (no solutions)
- Exams (no solutions)

## Educator Features

- Instructor insights

## Course Description

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 systems. Techniques covered include numerical integration of systems of ordinary differential equations; numerical discretization of partial differential equations; and probabilistic methods for quantifying the impact of variability. Specific emphasis is given to finite volume methods in fluid mechanics, and finite element methods in structural mechanics.

Acknowledgement: Prof. David Darmofal taught this course in prior years, and created some of the materials found in this OCW site.

## Other Versions

## Other OCW Versions

Archived versions:

- 16.901 Computational Methods in Aerospace Engineering (Spring 2005)
- 16.901 Computational Methods in Aerospace Engineering (Spring 2003)

## Related Content

## Course Collections

See related courses in the following collections:

### Find Courses by Topic

- Aerospace Engineering
- Systems Engineering > Computational Science and Engineering
- Systems Engineering > Systems Optimization
- Differential Equations
- Probability and Statistics

## MIT Crosslinks

Explore the topics covered in this course with MIT Crosslinks, a website that highlights connections among select MIT undergraduate STEM courses and recommends specific study materials from OCW and others. Learn more.

Karen Willcox, and Qiqi Wang. 16.90 Computational Methods in Aerospace Engineering. Spring 2014. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

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