## AA 114Q: Large Spacecraft Structures

In space, large structures are often advantageous - large solar arrays are required for collecting solar power and allowing spacecraft to operate in deep space, large diameter telescopes allow us to explore the origins of our universe, and large antennas allow us to track climate change and get large amounts of data back down to Earth. However, our ability to get large structures into space is limited by the size of modern rocket fairings, causing large space structures to be designed very differently from those on Earth. This seminar focuses on the design principles used by aerospace engineers to realize large space structures. Over the quarter, we will discuss techniques for deployable space structures folded on the ground and unfolded in orbit including origami, foldable thin structures, and inflatables. The seminar will also introduce students to current developments in space structures such as on-orbit assembly, in-space manufacturing, and reconfigurable space structures. We will
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In space, large structures are often advantageous - large solar arrays are required for collecting solar power and allowing spacecraft to operate in deep space, large diameter telescopes allow us to explore the origins of our universe, and large antennas allow us to track climate change and get large amounts of data back down to Earth. However, our ability to get large structures into space is limited by the size of modern rocket fairings, causing large space structures to be designed very differently from those on Earth. This seminar focuses on the design principles used by aerospace engineers to realize large space structures. Over the quarter, we will discuss techniques for deployable space structures folded on the ground and unfolded in orbit including origami, foldable thin structures, and inflatables. The seminar will also introduce students to current developments in space structures such as on-orbit assembly, in-space manufacturing, and reconfigurable space structures. We will examine the materials used in these structures, overview mathematical principles used for their design, and learn from past failures of deployable structures. The seminar will allow students to delve deeper into the concepts with hands-on experimentation, analysis of existing space structures (ex. James Webb, the ISS solar arrays, and CubeSat missions), and will allow students to practice written and oral communication skills.By the end of the course students will be able to:Explain the need for large space structures.Identify and compare the engineering approaches for the realization of large space structures.Analyze the challenges associated with large space structures.Design space structures using simple numerical models.

Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR

Instructors:
Sakovsky, M. (PI)

## 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,
AA 100 (Introduction to Aeronautics and Astronautics).

Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR

## AA 151: Lightweight Structures

The development of lightweight structures aids in enhancing the robustness, efficiency, and cost of aerospace systems. In this course, the theoretical principles used to analyze stress-strain behavior, beam bending, torsion, and thin-walled structures will be reviewed and exercised. In addition, students will study structures under various loading conditions found in real-world applications such as the design of airframes, high-altitude balloons, and solar sails. Students from various disciplines of engineering can benefit from this course.
ENGR 14 (Introduction to Solid Mechanics) is a highly recommended prerequisite.

Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR

Instructors:
Senesky, D. (PI)
;
Nethi, S. (TA)

## AA 174A: Principles of Robot Autonomy I (CS 137A, EE 160A)

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

## 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
| Units: 3-5
| Repeatable
for credit

Instructors:
Alonso, J. (PI)
;
Arya, M. (PI)
;
Cappelli, M. (PI)
;
Chang, F. (PI)
;
D'Amico, S. (PI)
;
Elschot, S. (PI)
;
Farhat, C. (PI)
;
Gao, G. (PI)
;
Hara, K. (PI)
;
Kochenderfer, M. (PI)
;
Kroo, I. (PI)
;
Lele, S. (PI)
;
Pavone, M. (PI)
;
Rock, S. (PI)
;
Sakovsky, M. (PI)
;
Schwager, M. (PI)
;
Senesky, D. (PI)
;
Walter, T. (PI)

## AA 191: Practical Training

For undergraduate students. Educational opportunities in high technology research and development labs in industry. Students engage in internship work and integrate that work into their academic program. Following internship work, students complete a research report outlining work activity, problems investigated, key results, and follow-up projects they expect to perform. Meets the requirements for curricular practical training for students on F-1 visas. Student is responsible for arranging own internship/employment and faculty sponsorship. Register under faculty sponsor's section number. All paperwork must be completed by student and faculty sponsor, as the Student Services Office does not sponsor CPT. Students are allowed only two quarters of CPT per degree program. Course may be repeated twice.

Terms: Aut, Win, Spr
| Units: 1-3
| Repeatable
3 times
(up to 3 units total)

## 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
| Units: 1-5
| Repeatable
for credit

Instructors:
Alonso, J. (PI)
;
Arya, M. (PI)
;
Cantwell, B. (PI)
;
Chang, F. (PI)
;
D'Amico, S. (PI)
;
Elschot, S. (PI)
;
Farhat, C. (PI)
;
Gao, G. (PI)
;
Hara, K. (PI)
;
Kochenderfer, M. (PI)
;
Kroo, I. (PI)
;
Lele, S. (PI)
;
Pavone, M. (PI)
;
Rock, S. (PI)
;
Sakovsky, M. (PI)
;
Schwager, M. (PI)
;
Senesky, D. (PI)

## AA 214: Numerical Methods for Compressible Flows

For M.S.-level graduate students. Covers the hierarchy of mathematical models for compressible flows. Introduction to finite difference, finite volume, and finite element methods for their computation. Ideal potential flow; transonic potential flow; Euler equations; Navier-Stokes equations; representative model problems; shocks, expansions, and contact discontinuities; treatment of boundary conditions; time and pseudo-time integration schemes. Prerequisites: basic knowledge of linear algebra and ODEs (
CME 206 or equivalent).

Terms: Aut
| Units: 3

Instructors:
Farhat, C. (PI)
;
Porrello, C. (TA)

## 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

Instructors:
Kochenderfer, M. (PI)
;
Armour, G. (TA)
;
Asmar, D. (TA)
...
more instructors for AA 228 »

Instructors:
Kochenderfer, M. (PI)
;
Armour, G. (TA)
;
Asmar, D. (TA)
;
Delecki, H. (TA)
;
Jamgochian, A. (TA)
;
Kruse, L. (TA)
;
Lange, B. (TA)
;
Molins, E. (TA)
;
Schlichting, M. (TA)
;
Smyers, E. (TA)
;
Yang, J. (TA)
;
Yildiz, A. (TA)

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