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11 - 20 of 31 results for: AA ; Currently searching spring courses. You can expand your search to include all quarters

AA 201A: Fundamentals of Acoustics

Acoustic equations for a stationary homogeneous fluid; wave equation; plane, spherical, and cylindrical waves; harmonic (monochromatic) waves; simple sound radiators; reflection and transmission of sound at interfaces between different media; multipole analysis of sound radiation; Kirchoff integral representation; scattering and diffraction of sound; propagation through ducts (dispersion, attenuation, group velocity); sound in enclosed regions (reverberation, absorption, and dispersion); radiation from moving sources; propagation in the atmosphere and underwater. Prerequisite: first-year graduate standing in engineering, mathematics, sciences; or consent of instructor.
Terms: Spr | Units: 3
Instructors: Lele, S. (PI)

AA 203: Optimal and Learning-based Control

Optimal control solution techniques for systems with known and unknown dynamics. Dynamic programming, Hamilton-Jacobi reachability, and direct and indirect methods for trajectory optimization. Introduction to model predictive control. Model-based reinforcement learning, and connections between modern reinforcement learning in continuous spaces and fundamental optimal control ideas.
Terms: Spr | Units: 3
Instructors: Pavone, M. (PI)

AA 204: Spacecraft Electric Propulsion

The fundamentals of electric propulsion for spacecraft, which exists at the junction of traditional fluid dynamics, plasma physics, and aerospace engineering. The design and physics of electrothermal, electrostatic, and electromagnetic propulsion devices. Prerequisites: prior familiarity and experience with electromagnetism (Maxwell's equations, Ohm's law); fluid dynamics (fluid equations, choked flow, nozzles, Mach number); chemistry (stoichiometry, heat of formation, heat of reaction); and orbital dynamics (rocket equation, thrust, specific impulse, delta-v).
Terms: Spr | Units: 3

AA 222: Engineering Design Optimization (CS 361)

Design of engineering systems within a formal optimization framework. This course covers the mathematical and algorithmic fundamentals of optimization, including derivative and derivative-free approaches for both linear and non-linear problems, with an emphasis on multidisciplinary design optimization. Topics will also include quantitative methodologies for addressing various challenges, such as accommodating multiple objectives, automating differentiation, handling uncertainty in evaluations, selecting design points for experimentation, and principled methods for optimization when evaluations are expensive. Applications range from the design of aircraft to automated vehicles. Prerequisites: some familiarity with probability, programming, and multivariable calculus.
Terms: Spr | Units: 3-4

AA 241B: Aircraft Design: Synthesis and Analysis

The second part of the two-quarter graduate course on aircraft design, AA241B builds on students? initial design work in AA 241A, but focuses on propulsion system performance and integration, structures (loads and weight estimation), mission performance (e.g. range, climb, field lengths), environmental effects (noise, local emissions, climate impact), and economics. Each student evaluates a range of parameterized versions of their concept, then performs trade studies and numerical optimization to produce a final design. The optimized design and methodology from both quarters of AA241 are then summarized in a final presentation and report. Prerequisites: AA 241A and preferably some previous courses in the following fields: structures, propulsion, dynamics, and engineering optimization.
Terms: Spr | Units: 3

AA 245: Stability of Structures

This course covers the fundamentals of buckling and stability of structures, using potential energy and direct equilibrium approaches. Structural stability theory has applications in civil, mechanical, and aerospace engineering. Topics include: buckling of columns; imperfection sensitivity; classification of instabilities into snap-through and bifurcations; elasto-plastic buckling; buckling of plates and shells; localization and wrinkling; post-buckling behavior. Pre-requisites: AA 151 or AA 240 or similar.
Terms: Spr | Units: 3

AA 251: Introduction to the Space Environment

The environment through which space probes and vehicles travel and orbit. Survey of physical phenomena in the sun, solar wind, magnetospheres, ionospheres, and upper atmospheres of objects in the solar system. Introduction to the physical processes governing space plasmas, solar-terrestrial interactions, and ionized and neutral media surrounding the Earth and other solar system bodies. Prerequisite: AA 244A.
Terms: Spr | Units: 3

AA 252: Techniques of Failure Analysis

Introduction to the field of failure analysis, including fire and explosion analysis, large scale catastrophe projects, traffic accident reconstruction, aircraft accident investigation, human factors, biomechanics and accidents, design defect cases, materials failures and metallurgical procedures, and structural failures. Product liability, failure modes and effects analysis, failure prevention, engineering ethics, and the engineer as expert witness.
Terms: Spr | Units: 3

AA 257: Structural Health Monitoring

Structural health monitoring (SHM) is an emerging technology that provides high-resolution real-time state-sensing, awareness, and self-diagnostic capabilities of structures in service enabled by different types of sensors. SHM is a technology that is designed to interface with the industrial internet of things (IIoT) environment (a) to extend the duration of the service life; (b) to increase the reliability; (c) to reduce the maintenance cost and operational cost. The course will provide in-depth knowledge of two basic damage detection methods for SHM, (a) active sensing and (b) passive sensing. This course will also discuss different kinds of smart materials and sensors, including piezoelectric materials as sensing and actuating elements to interrogate the structures. Advanced signal processing techniques and different types of diagnostics techniques will be discussed and applied to various damage scenarios for qualitative and quantitative measurements. The class will involve structural dynamics, wave propagation, signal processing, finite element methods, and study test cases. Prerequisite: 240 or consent of instructor.
Terms: Spr | Units: 3
Instructors: Chang, F. (PI)

AA 261: Building an Aerospace Startup from the Ground Up

Silicon Valley has experienced a dramatic increase in aerospace-focused, venture capital-backed companies over the last decade. This course will examine what drives success and failure in these ventures, with applicability to prospective founders, employees, investors, or those with a general interest in understanding how real companies operate on a day-to-day basis. The course will cover the entire life cycle of aerospace startups, from idea to product, first financing to exit. Half of the class sessions will be lectures focused on the nuts and bolts of building an aerospace startup. The other sessions will explore critical decision making of recent aerospace startups, through case studies. Often, the protagonists from the case studies will join the class to provide their thinking as they navigated these bet-the-company decisions. Grading will be determined by a combination of hands-on projects and class participation. The instructors are former aerospace entrepreneurs who have raised more than $100 million in capital, launched satellites and derived products from those satellites, and who successfully exited their venture which returned 10x to initial investors. Instructor Consent required to enroll.
Terms: Spr | Units: 3
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