AA-ENG - Aeronautics and Astronautics (ENG)
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Program Overview
The degree of Engineer represents an additional year (or more) of study beyond the M.S. degree and includes a research thesis. The program is designed for students who wish to do professional engineering work upon graduation and who want to engage in more specialized study than is afforded by the master’s degree alone. It is expected that full-time students will be able to complete the degree within two years of study after the master’s degree.
Director of Graduate Studies
Free Form Requisites
The University’s basic requirements for the degree of Engineer are outlined in the "Graduate Degrees" section of this bulletin. The following are department requirements.
The candidate’s prior study program should have fulfilled the department’s requirements for the master’s degree or a substantial equivalent. Beyond the master’s degree, a total of 45 units of work is required, including a thesis and a minimum of 21 units of courses chosen as follows:
21 units of approved technical electives, of which 6 are in mathematics or applied mathematics. See the pre-approved list of mathematics courses below. All courses in the Mathematics Department numbered 200 or above are included.
The remaining 15 units are chosen in consultation with the adviser, and represent a coherent field of study related to the thesis topic. Suggested fields include: (a) acoustics, (b) aerospace structures, (c) aerospace systems synthesis and design, (d) analytical and experimental methods in solid and fluid mechanics, (e) computational fluid dynamics, and (f) guidance and control.
The remaining 24 units may be thesis, research, technical courses, or free electives.
Candidates for the degree of Engineer are expected to have a minimum grade point average (GPA) of 3.0 for work in courses beyond those required for the master’s degree. All courses except seminars and directed research should be taken for a letter grade.
Each Aero/Astro degree has a mathematics requirement, for which courses on the following list are pre-approved. (Other advanced courses may also be acceptable.) Students should consult with their advisers in selecting the most appropriate classes for their field. Engineers select 2 courses.
Units | ||
|---|---|---|
Optimal and Learning-based Control | 3 | |
Advanced Feedback Control Design | 3 | |
Numerical Methods for Compressible Flows | 3 | |
Introduction to Symmetry Analysis | 3 | |
Engineering Design Optimization | 3-4 | |
Decision Making under Uncertainty | 3-4 | |
Mechanical Vibrations | 3 | |
State Estimation and Filtering for Robotic Perception | 3 | |
Multi-Robot Control and Distributed Optimization | 3 | |
Mechanics and Finite Elements | 3 | |
Introduction to Scientific Computing | 3 | |
Numerical Linear Algebra | 3 | |
Partial Differential Equations of Applied Mathematics | 3 | |
Numerical Solution of Partial Differential Equations | 3 | |
Optimization | 3 | |
Stochastic Methods in Engineering | 3 | |
Artificial Intelligence: Principles and Techniques | 3-4 | |
Machine Learning | 3-4 | |
The Fourier Transform and Its Applications | 3 | |
Introduction to Linear Dynamical Systems | 3 | |
Digital Signal Processing | 3-4 | |
Introduction to Statistical Signal Processing | 3 | |
Convex Optimization I | 3 | |
Convex Optimization II | 3 | |
Analysis and Control of Nonlinear Systems | 3 | |
Linear Algebra and Matrix Theory | 3 | |
Functions of a Real Variable | 3 | |
Groups and Rings | 3 | |
Fundamental Concepts of Analysis | 3 | |
Linear Algebra with Application to Engineering Computations | 3 | |
Partial Differential Equations in Engineering | 3 | |
Introduction to Numerical Methods for Engineering | 3 | |
Finite Element Analysis | 3 | |
Finite Element Analysis | 3 | |
Finite Element Analysis | 3 | |
Spectral Methods in Computational Physics | 3 | |
Computational Methods in Fluid Mechanics | 3 | |
Dynamic Systems | 3 | |
Stochastic Modeling | 3 | |
Optimization | 3 | |
Dynamic Programming and Stochastic Control | 3 | |
Continuum Mechanics | 3 | |
Statistical Methods in Engineering and the Physical Sciences | 5 | |
Theory of Probability | 4 | |
Introduction to Stochastic Processes I | 3 | |
Engineer's thesis
For specific information on the format and deadlines for submission of theses, please check with the Graduate Degree Progress Office. The department recommends that students follow the format defined in the handbook Directions for Preparing Doctoral Dissertations, available in the Graduate Degree Progress Office. Note: the adviser must sign the thesis before the filing deadline, which is generally the last day of classes during the graduation quarter.