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The following is a list of classes
typically taken by students in the SSDL. An example of a typical academic
program can be found at the following:
Academic Program
Aerospace Engineering Classes
Fall Semester
AE 6210: Advanced Dynamics I - Kinematics of
particles and rigid bodies, angular velocity, inertia properties,
holonomic and non-holonomic constraints, generalized forces.
(Analytical Mechanics Qual)
AE 6353:
Orbital Mechanics - AE 6353 is the first in a series of two graduate-level astrodynamics classes offered at the Georgia Institute of Technology. The
course content includes historical background and equations of motion,
two-body orbital mechanics, orbit determination, orbit prediction, orbital
maneuvers, lunar and interplanetary trajectories, orbital rendezvous and
space navigation.
(Space Vehicle Design Qual)
AE 6372: Aerospace Systems Engineering - Introduction
to aerospace systems engineering. Systems engineering and quality
engineering methods and tools. Top-down design decision support processes,
computer integrated environments, Integrated Product/Process Development
(IPPD).
AE 6373: Advanced Design Methods I - Introduction to
modern probabilistic design methods and techniques. Design of experiments,
Taguchi methods, response surface equations, robust design, risk and
uncertainty, technology assessment and selection.
(Design Methods and Processes Qual)
AE 6520: Advanced Flight Dynamics - Reference frames
and transformations, general equations of unsteady motion, application to
fixed-wing, rotary-wing and space vehicle stability characteristics,
flight in turbulent atmosphere.
(Analytical Mechanics Qual)
AE 6540: Rocket Propulsion - Analysis and design of
rocket engines including liquid, solid, hybrid, and advanced propulsion
systems. AE 6765: Kinetics and
Thermodynamics - Thermodynamics of non-reacting and reacting gas
mixtures. Introductory quantum theory, statistical thermodynamics, and gas
kinetic theory. (Combustion or Gas Dynamics Qual)
AE 4803: Introduction to Reliability, Risk, and System
Safety - The Course has two objectives: 1) to provide students with a
solid understanding of the concepts and techniques of reliability
engineering and risk analysis, and 2) to introduce students to research
direction in system safety and accident analysis.
AE 8803: Spacecraft and Launch Vehicle Design Theory and
Methods - Architecture design and analysis for manned space
exploration including system engineering, configuration design,
atmospheric and space performance, rocket performance, system weights,
safety/reliability, and life-cycle cost. Applications will be based on
NASAs space exploration programs. EAS 4460: Satellite and Radar Methodology
- Interoperation of satellite and radar data for meteorological
forecasting based on understanding radiative transfer and the resulting
strengths and limitation of imagery. Spring Semester
AE 6211: Advanced Dynamics II - A continuation of
Advanced Dynamics I. Equations of motion, Newtonian frames, consistent
linearization, energy and momentum integrals, collisions, mathematical
representation of finite rotation.
AE 6322: Space Systems Design - Early design of
spacecraft and launch vehicles. Emphasis on preliminary vehicle sizing and
performance, effect of new technologies, and disciplinary interactions.
(Space Vehicle Design Qual)
AE 6354: Advanced Orbital Mechanics - Advanced concepts in orbital mechanics
including orbit determination, orbital perturbations, time of flight,
rendezvous, low thrust trajectories, and multi-body problems. This course
is only offered in even years, such as 2006.
AE
6374: Advanced Design Methods II - Introduction to modern
multidisciplinary design optimization methods and techniques. Numerical
optimization with applications, stochastic methods, Genetic Algorithms,
multidisciplinary decomposition methods, multi-level optimization
strategies. (Design Methods and Processes Qual)
AE 6766: Combustion - Introductory chemical
kinetics, detonations and deflagrations, laminar flame propagation in
premixed gases, ignition and quenching, laminar diffusion flames and
droplet burning, turbulent reacting flows.
(Combustion Qual)
AE
8803: Electric
Propulsion - This course begins with an overview of electricity and
magnetism, atomic physics, and non-equilibrium flows. It provides a solid
background of the operating principles, performance characteristics, and
design features of state-of-the-art systems from each of the three classes
of electric thrusters (electrothermal, electromagnetic, and
electrostatic). It allows the student to understand the capabilities and
limitations of electric propulsion on current missions as well as the
tremendous promise of electric propulsion for future missions.
AE 8803: Atmospheric Entry - A graduate level special topics course
focused on planetary atmospheric entry. This course will be offered for
the first time in the Spring of 2005. Course topics include mission and
vehicle design, flight dynamics, hypersonic aerodynamics and planetary
aerothermodynamics. Case studies include past and future mission concepts
for robotic and human exploration. his course is only offered in odd
years, such as 2005.
AE 8803BIS: Introduction to Space Mission Architecture
- Fundamentals of space mission architecture are presented with an
emphasis on systems of systems engineering. Introduction to command,
control, and communications architecture, including both the ground and
space elements, is covered along with launch and orbit considerations,
mission operations, and systems level spacecraft analysis and integration.
Will use the On-Orbit Servicing Project throughout the course to help
demonstrate concepts. The course will include a thorough investigation of
a fully functioning instructional nano-satellite (EyasSAT) used to
demonstrate six traditional satellite subsystems. AE 8900:
MS Research Project - Students generally choose to complete a research
project in place of a master's thesis. Examples of typical SSDL student
projects can be found by clicking on the following link.
Masters Projects
EAS 4430: Remote Sensing and Data Analysis -
Introduction to passive environmental remote sensing of the atmosphere and
the Earth laboratory examples of data and image analysis for remote
sensing applications. ECE 4390: Introduction
to Radar and Electromagnetic Sensing - Introduces students to radar
systems, including pulsed CW, CWFM, and MTI radars. Others techniques for
electromagnetic sensing such as radiometry and EM tagging discussed.
CP 6531: Introduction to Remote sensing -
Introduces students to the collection and use of satellite imagery and
other remote sensing data. (Semester TBD) EAS
6145: Remote Sensing of the Atmosphere and Ocean - Provides foundation
for understanding the physical principles of remote sensing and its
applications to study atmospheric gases, clouds, and ocean surfaces.
(Semester TBD)
Summer Semester
AE 6050: High Temperature Gas Dynamics - Defining equations for
compressible flows, real gas properties and their effect on the behavior
of equilibrium and non-equilibrium flows. (Gas
Dynamics Qual) AE 6362: Safety By Design
- This class is only offered during the summer session. This class
presents an innovated approach through a better understanding of the
conceptual design phase and reliability theory, and how this can effect
the overall safety of an engineering system. Math Classes
ISYE 6401: Statistical Modeling and Design of
Experiments - ISYE 6650:
Probabilistic Models - An introduction to basic stochastic processes
such as Poisson and Markov processes and their applications in areas such
as inventory, reliability, and queuing. (Fulfills Math Requirement)
ISYE 6739: Statistical Methods - Introduction to
basic statistical models, and analytical techniques used in statistical
analysis.
MATH 3215: Introduction to Probability and Statistics
- This course is a problem oriented introduction to the basic concepts
of probability and statistics, providing a foundation for applications and
further study. This course will meet the Georgia Tech aerospace department
MATH requirements.
MATH 4305: Linear Algebra - Finite dimensional
vector spaces, inner product spaces, least squares, linear
transformations, the spectral theorem for normal transformations.
Applications to convex sets, positive matrices, difference equations.
MATH 6640: Numerical
Methods for PDEs - Introduction to the implementation and analysis of
numerical algorithms for the numerical solution of the classic partial
differential equations of science and engineering. Must have knowledge of
a computer programming language, familiarity with partial differential
equations and elements of scientific computing. |