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 | EECE603: Biomedical Signal and Image Processing
A course that introduces the
fundamentals of digital signal processing as implemented in biomedical
applications. It provides a concise treatment of the tools utilized to
describe deterministic and random signals as the basis of analyzing
biological signals: data acquisition; imaging; denoising and
filtering; feature extraction; modeling. The course is tightly coupled
with a practical component as it looks at and assigns several
laboratory projects. Examples include the auditory system, speech
generation, electrocardiogram, neuronal circuits, and medical
imaging. Students should have reasonable software skills in Matlab.
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| EECE663: System Identification
This course introduces the fundamentals of system
identification as the basic mathematical tools to fit models into
empirical input-output data. While rooted in control theory,
applications extend to general time-series modeling and forecasting,
such as stock prices, biological data and others. Topics covered
include nonparametric identification methods: time and frequency
response analysis; Parametric identification methods: prediction error
methods, least squares, linear unbiased estimation and maximum
likelihood; Convergence, consistency and asymptotic distribution of
estimates; Properties and practical modeling issues: bias
distribution, experiment design and model validation. |
| EECE210: Electric Circuits
A course on fundamentals of electric circuits; basic
elements and laws; techniques of circuit analysis: node voltage, mesh
current, Thevenin, Norton, and source transformation; inductors,
capacitors, mutual inductance, and transformers; transient response of
RC, RL, and RLC circuits; steady state AC circuits; power
calculations; circuit simulation using SPICE
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| EECE340: Signals and Systems
This course covers basic concepts and methods related
to continuous and discrete-time signals and systems. The course
includes: signals and systems and their properties, linear
time-invariant systems, stability analysis, sampling of
continuous-time signals, z-transform, discrete Fourier transform, time
and frequency domain representations of discrete-time signals and
systems, and introductory concepts in communications.
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Sample Final Year
projects
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Automated
categorization of music (2004).
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NEUROSIM:
A Neuronal simulation package for computational neuroscience (2004).
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An
amplifier/acquisition system for EEG signals (2005).
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Image-to-sound
device for the blind (Won the Dean’s Creative Achievement
Award,2005).
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Pupil/EEG-based
drowsiness detector (2006).
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Modeling
and design of silicon neurons(2006).
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Exploration of new techniques on EEG-based Brain Computer Interface
(2006).
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EMG-based
neural prosthesis device for individual finger movement detection
(Co-supervision with Prof M. Saghir, 2007).
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EEG-based
Brain computer Interface (2007).
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OPNET-based
simulation of neuronal communication networks (Co-supervision with
Prof I. Abou-Faycal, 2007).
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Interactive Television: Biofeedback EEG-based machine interface
(2008).
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Automated
Quantitative Descriptors of Cell Adhesion in Micrograph Images
(2009).
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Explorations
in Real-time Automated Neuronal Spike Sorting (2009).
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Stereo-Sight: A package for Creating and Viewing Stereogram Images
(Co-supervision with Prof L. Bazzi, 2009)
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