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1 - 10 of 21 results for: AA ; Currently searching autumn courses. You can expand your search to include all quarters

AA 131: Space Flight

This class is all about how to build a spacecraft. It is designed to introduce undergraduate engineering students to the engineering fundamentals of conceiving, designing, implementing, and operating satellites and other space systems. Topics include orbital dynamics, attitude dynamics, mission design, and subsystem technologies. The space environment and the seven classic spacecraft subsystems - propulsion, attitude control and navigation, structure, thermal, power, telemetry and command, and payload - will be explored in detail. Prerequisites: Freshman-level physics, basic calculus and differential equations.
Terms: Aut | Units: 3 | UG Reqs: WAY-AQR

AA 141: Atmospheric Flight

From people's initial dreams and theories of flight to future design problems, this class introduces students to flight in the atmosphere and the multidisciplinary challenges of aircraft design. We will discuss how new approaches to airplane propulsion, structures, autonomy, and aerodynamics can lead to environmentally sustainable future transportation, supersonic flight, and personal air vehicles. We will look at how local companies are developing autonomous aircraft, inspired by natural flyers, to systems that will provide ubiquitous internet access flying at twice the altitude of airliners. Prerequisites: MATH 20, 21 or equivalents; elementary physics.
Terms: Aut | Units: 3

AA 156: Introduction to Mechanics of Composite Materials

This course covers topics related to fiber reinforced composites. Students will learn about stress, strain, and design of composite laminates and honeycomb structures. The course will also provide an overview of failure modes and criteria, environmental effects, and manufacturing processes. An individual design project is required of each student, resulting in a usable computer software.
Terms: Aut | Units: 3

AA 172: Guidance & Navigation

Position, Navigation and Timing (PNT) is an increasingly critical element of aerospace and autonomous systems from autonomous cars to commercial jets to deep space probes. Analyze how modern navigation systems work including dead reckoning (speed, direction), radio navigation systems (ground based and satellite) and inertial navigation. Examine the safety and secure use of these systems for guiding commercial aviation and autonomous navigation applications. Explore emerging technologies that may affect the capability and design of future aerospace systems including pulsar navigation for deep space missions and cellular and other signals to aid urban navigation of UAVs, self-driving cars and rail. nnPrerequisites: E15 and familiarity with Matlab and Linear Algebra.
Terms: Aut | Units: 3

AA 174A: Principles of Robot Autonomy I (AA 274A, CS 237A, EE 260A)

Basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. Algorithmic approaches for robot perception, localization, and simultaneous localization and mapping; control of non-linear systems, learning-based control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. Extensive use of the Robot Operating System (ROS) for demonstrations and hands-on activities. Prerequisites: CS 106A or equivalent, CME 100 or equivalent (for linear algebra), and CME 106 or equivalent (for probability theory).
Terms: Aut | Units: 3-4 | UG Reqs: WAY-AQR

AA 190: Directed Research and Writing in Aero/Astro

For undergraduates. Experimental or theoretical work under faculty direction, and emphasizing development of research and communication skills. Written report(s) and letter grade required; if this is not appropriate, enroll in 199. Consult faculty in area of interest for appropriate topics, involving one of the graduate research groups or other special projects. May be repeated for credit. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 3-5 | Repeatable for credit

AA 199: Independent Study in Aero/Astro

Directed reading, lab, or theoretical work for undergraduate students. Consult faculty in area of interest for appropriate topics involving one of the graduate research groups or other special projects. May be repeated for credit. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit

AA 212: Advanced Feedback Control Design

Analysis and design techniques for multivariable feedback systems. State-space concepts, observability, controllability, eigenvalues, eigenvectors, stability, and canonical representations. Approaches for robust feedback control design, chiefly H2, H-infinity, and mu-synthesis. System identification and adaptive control design. Use of computer-aided design with MATLAB. Prerequisite: ENGR 105, ENGR 205. Recommended: Linear algebra ( EE 263 or equivalent).
Terms: Aut | Units: 3

AA 228: Decision Making under Uncertainty (CS 238)

This course is designed to increase awareness and appreciation for why uncertainty matters, particularly for aerospace applications. Introduces decision making under uncertainty from a computational perspective and provides an overview of the necessary tools for building autonomous and decision-support systems. Following an introduction to probabilistic models and decision theory, the course will cover computational methods for solving decision problems with stochastic dynamics, model uncertainty, and imperfect state information. Topics include: Bayesian networks, influence diagrams, dynamic programming, reinforcement learning, and partially observable Markov decision processes. Applications cover: air traffic control, aviation surveillance systems, autonomous vehicles, and robotic planetary exploration. Prerequisites: basic probability and fluency in a high-level programming language.
Terms: Aut | Units: 3-4
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