Hidden
Worlds - Introduction to Subsurface Sensing and Imaging (ENG EK 130
B0/C0 )
Prof. Michael Ruane -
Undergraduate Course
Engineers often
face the problem of detecting and imaging objects that are hidden
underground or underwater, or embedded in the human body. A number
of probes are possible, including optical beams, x-rays, ultrasonic
waves, or electromagnetic waves. Sensors are used to detect the transmitted,
reflected, or scattered waves, and the data are used to extract information
about the hidden objects. Examples of applications include detecting
tumors under human tissue, locating mines under ground, or imaging
fish under water. Standard techniques include optical microscopy,
x-ray radiography, ultrasonic imaging, magnetic resonance imaging
(MRI), computer assisted tomography (CAT), etc. The designers of these
systems must understand the physical models that describe the probing
and sensing processes, before they can develop the necessary algorithms
or software for solving the puzzle -- computing the image distribution
and identifying the target.
In this course
module (13 meetings over 6 weeks), you will learn the basic ideas
behind probing hidden targets using various waves, including the basic
principles of the more prevalent imaging techniques. You will develop
the concept of modeling and learn about methods of reconstruction
from measured data. Simplified test projects will be demonstrated
in the 'High Tech Tools and Toys' Lab.
Distance Learning:
NO - Available to BU and NU Students Only
This is a ‘module’
in a two-module, 4 credit course. NU students would need to take a
second module, or (possibly) enroll for only 2 credits.
Remote Sensing of the Environment
(CAS GG 302)
Prof. Curtis Woodcock (Geography) - Undergraduate
Course
Introduction to sensor systems, methodology of remote
sensing, and basic concepts of image analysis. Presents the ways in
which remotely sensed data can be used in scientific investigations
and resource management. 4 cr.
Day(s) and Time(s): Lectures - Monday and Wednesday,
1:00pm to 2:00pm
Starting Monday, September 6th
Prerequisites: None
Distance Learning: Available to BU and NU Students
Only
Acoustics
and Aerodynamic Sound (ENG
AM 706)
Prof. Michael Howe (Aerospace and Mechanical Engineering)
- Graduate Course
Theoretical foundations of fluid and structural acoustics.
Solutions of the wave equation; vibrations of plates and membranes;
multiple expansions, influence of source motion; reciprocity; compact
Greene's functions; radiation from vibrating bodies; matched expansions;
acoustics energy equation; aerodynamic sound. 4 cr.
| Day(s)
and Time(s): |
Lectures
- Tuesday and Thursday, 6:00pm to 8:00pm |
| |
Starting
Tuesday, September 7th |
Prerequisites:
ENG AM 420, ENG AM 421 or equivalent
Distance
Learning: Available to BU and NU Students
Only
[back
to top]
Acoustic
Bubble Dynamics (ENG
AM 725)
Prof. Ronald Roy (Aerospace and Mechanical Engineering)
- Graduate Course
Bubbles and acoustic cavitation play an important role
in many aspects of application of sonic and ultrasonic energy in fluids
and biological tissue. This course will introduce the study of bubble
phenomena in sound fields. The fundamental physical acoustics of bubbles
(and the fundamental physics which can be illustrated by the study
of bubble dynamics) will be stressed. The family of Rayleigh-Plesset
equations for time-dependent bubble behavior will be derived from
the Navier-Stokes equations. Analytical approximations to the Rayleigh-Plesset
equations in various limiting cases will be derived and studied. Approximations
to the thermodynamic behavior of oscillating bubbles will be considered
in detail. Thermal, acoustic and viscous contributions to dissipation
will be treated. Numerical solutions will also be studied, specifically
in the context of highly nonlinear behavior during acoustically forced
oscillations. Other topics covered will include scattering of sound
and acoustic radiation, acoustics of bubbly liquids, bubble-mediated
bioeffects, shape instabilities, acoustic levitation, sonoluminescence,
heat and mass transfer during bubble oscillations, sonochemistry and
cavitation detection and monitoring. 4 cr.
| Day(s)
and Time(s): |
Lectures
- Tuesday and Thursday, 10:00am to 12:00pm |
| |
Starting
Tuesday, September 7th |
Prerequisites:
ENG AM 520, ENG AM 542 or equivalent
Distance
Learning: Available to BU and NU Students
Only
Fundamentals
of Optical System Design (ENG SC 500)
Prof. Leah Schatzberg (Electrical and
Computer Engineering) -
Graduate Course
Learn practical design skills, ray optics and aberrations,
how to design imaging systems, optical design software and how to
work with CODE V® (CODE V homework will be part of class)
This class is designed for seniors who would like to get practical
skills in optical system design, for seniors and graduate students
who need practical system design knowledge to design and construct
the best optical systems for their Photonics related research and
for anyone who is looking for a career in Optical Engineering or Photonics.
Prerequisites: Consent
of instructor
| Day(s)
and Time(s): |
Monday
and Wednesday, 4:00pm to 6:00pm |
| |
|
Distance Learning: Available to BU and NU Students
Only
Any questions about this special topic class, please
call or email the instructor Leah Schatzberg
at the Photonics Center, p. (617) 353-8899, Email: lzs@bu.edu
Digital
Image Processing and Communication (ENG
SC 520)
Prof. Janusz Konrad (Electrical and Computer Engineering)
- Graduate Course
Advanced structures and techniques for digital signal
processing and their properties in relation to application requirements
such as real-time, low-bandwidth, and low-power operation. Optimal
FIR filter design; time-dependent Fourier transform and filterbanks;
Hilbert transform relations; cepstral analysis and deconvolution;
parametric signal modeling; multidimensional signal processing; multirate
signal processing. 4 cr.
| Day(s)
and Time(s): |
Lectures
- Monday and Wednesday, 10:00am to 12:00pm |
| |
Starting
Monday, September 6th |
Prerequisites:
ENG SC 416 or ENG SC 402 or ENG SC 415
Distance
Learning: Available to BU and NU Students
Only
Introduction to Photonics
(ENG SC 560)
Prof. Roberto Paiella (Electrical and Computer Engineering)
- Graduate Course
Introduction to ray optics, wave optics, Fourier optics
and holography, absorption, dispersion. Polarization, anisotropic
media, and crystal optics. Guided-wave and fiber optics. Elements
of photon optics. Laboratory experiments: interference; diffraction
and spatial filtering; polarizers, retarders, and liquid-crystal displays;
fiber-optic communication links. 4 cr.
Day(s) and Time(s): Lectures
- Tuesday and Thursday, 2:00pm to 4:00pm; Labs to be arranged
Starting Tuesday, September 7th
Prerequisites: CAS PY 313
Distance Learning: Available to BU and NU Students
Only
Optical
Fiber Sensors (ENG SC 568)
Prof. Theodore Morse (Electrical and Computer Engineering)
- Graduate Course
This course will cover the theory and practice of optical
fiber sensors. This course will meet twice a week for two hours. In
addition, there will be a three-hour laboratory each week. The focus
of the course will be on laboratories involving various types of optical
fiber sensors. Grades will be based on laboratory reports as well
as a significant laboratory project. 4 cr.
| Day(s)
and Time(s): |
Lectures
- Monday and Wednesday, 2:00pm to 4:00pm |
| |
Starting
Monday, September 6th |
Prerequisites:
ENG SC 455
Distance
Learning: Available to BU and NU Students
Only
Statistical Pattern Recognition
(ENG SC 719)
Prof. David Castanon (Electrical and Computer Engineering)
- Graduate
Course
The statistical theory of pattern recognition, including both parametric
and nonparametric approaches to classification. Covers classification
with likelihood functions and general discriminant function, density
estimation, supervised and unsupervised learning, decision trees,
feature reduction, performance estimation, and classification using
sequential and contextual information, including Markov and hidden
Markov models. A project involving computer implementation of a pattern
recognition algorithm is required. 4 cr.
Day(s) and Time(s): Lectures
- Monday and Wednesday, 2:00pm to 4:00pm; Labs to be arranged
starting Monday, September 6th
Prerequisites: CAS MA
381 or ENG EK 500.
Corequisite: ENG SC 505
Distance Learning: Available
to BU and NU Students Only
Biomedical Optics and BioPhotonics
(SC 765 and BE 765)
Prof. Irving J. Bigio
- Graduate
Course
Biomedical optics (or Biophotonics) is a newly developing
field, dealing with the application of optical science and technology
to biomedical problems, including clinical applications. There is no
formal text yet available for this topic, although the recommended reference
text on optics will prove valuable since we will concentrate on the
optical science and engineering, as applied to biomedical problems,
covering only those aspects of the biology itself that are necessary
to understand the purpose of the application.
About 65% of the contact time will be lectures, including a couple of
guest lectures from experts. (Copies of lecture slides will be available
on the course web site, for download.) For the remainder of the contact
time, the course is modeled in the manner of a modified "journal
club." For each topic area covered in the course a publication
from the recent literature will be chosen as illustrative of that topic,
and for each publication one student will be assigned to prepare an
informal presentation, with overhead slides or PowerPoint, reviewing
for the class the underlying principles of that paper and outlining
the research results.
.
| Day(s)
and Time(s): |
Lectures
- Tues/Thurs, 4:00 - 6:00 PM |
| |
Starting
Tuesday, September 7, 2003. |
Prerequisites: Prior course in optics/photonics
is highly recommended, and some cellular biology or physiology is
also useful.
Distance Learning: NO - Available to BU and
NU Students Only
System
Engineering for Complex Projects (ECE
U698)
Dr. Phil Cheney
- Undergraduate Course
This course will be available to students at both
Northeastern University and Boston University. This course will focus
on system architecture and the use of integration and risk assessment
for large complex projects to optimize performance, resource allocation
and scheduling. CenSSIS will be considered as an example of a multi-university,
multi-discipline research project with industrial partners. Classroom
participation will include team presentations and positive critiques.
|
Day(s)
and Time(s):
|
Tuesdays and Fridays from 11:45am
to 1:25pm |
| |
begins on September 9th |
Distance
Learning:
Available
to Boston Area Students
Complex
Variable Theory and Differential Equations (ECE G203)
Prof. Purnima Ratilal
- Graduate Course
Comprises the theory of functions of a complex variable.
Covers Cauchy's integral and related theorems, Taylor and Laurent
series, analytic continuation, and multivalued functions. Considers
special functions of mathematical physics using generating functions,
Taylor and Laurent expansions, and various integral representations.
Reviews applications of complex variable theory drawn from optics
and electromagnetic theory and from digital signal processing and
digital communications. Focuses on the theory of ordinary and partial
differential equations of mathematical physics. Develops series solutions
of ordinary differential equations of second order using the tools
of complex variable theory. Covers Sturm-Liouville theory and uses
it to develop eigen function and Green function solutions of homogeneous
and inhomogeneous partial differential equations.
Prerequisite: Knowledge of undergraduate advanced
calculus.
|
Day(s)
and Time(s):
|
Monday and Wednesdays from 11:40am
to 1:20pm |
| |
Begins on Sept. 8th |
Distance Learning: Available to Boston Area
Students
Special
Topics: Inverse Scattering (ECE G398)
Prof. Edwin Marengo
- Graduate Course
This course will
provide all the fundamental analytical and computational tools for
the treatment of inverse problems in the wave disciplines, with a
particular focus on inverse scattering and related biomedical, geophysical
and other subsurface imaging applications. The course will start with
a review of the corresponding forward theories of electromagnetic
radiation and direct scattering, including, among other topics: Time
domain formulation of radiation problems, Green function theory, frequency
domain formulation of radiation and boundary value problems, plane
wave and multipole representations of the radiation field, diffraction
theory. A number of lectures will cover fundamental questions on the
information content of fields connected to fundamental field sampling
principles and resolution limits in imaging. We will later review
general linear inversion theory as applied to electromagnetic inverse
problems. Fundamental questions of uniqueness, solution constraints,
and inversion approaches for inverse problems will be examined in
detail in connection with both inverse source and inverse scattering
problems in electromagnetics and acoustics. This will include a discussion
on nonradiating sources in connection with the inverse source problem
and of invisible objects and nonscattering scatterers in connection
with the inverse scattering problem. Solutions to these inverse problems
will be derived for a variety of canonical scenarios. Particular emphasis
will be given to limited view or limited data problems that arise
in practical settings. The course will cover in detail the inverse
theory associated with particular applications, including computerized
tomography (CT) and diffraction tomography (DT) applications with
biomedical or geophysical motivation. Of particular interest is the
linearized Born-approximated field, but certain aspects including
the fundamental question of uniqueness will be covered directly in
an exact scattering framework. The final sections of the course will
cover time-reversal imaging and other topics of recent interest. By
the end of the course the attendees will have acquired the principles
and analytical and computational techniques behind a variety of wave
inverse problems that arise in subsurface imaging applications.
|
Day(s)
and Time(s):
|
Monday and Wednesday from 9:50am
to 11:30am |
| |
|
Distance
Learning:
YES
- Available to BU, NU, RPI, and UPRM Students