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Fall 2003
- CSCI 5551, Introduction to Intelligent Robotic Systems
Transformations, kinematics/inverse kinematics,
dynamics, control. Sensing
(robot vision, force control, tactile sensing), applications of
sensor-based robot
control, robot programming, mobile robotics, and microrobotics.
- EE 5351, Probability and
Stochastic Processes
Spring 2004
- CSCI 5552, Sensing and
Estimation in Robotics
Bayesian estimation, maximum likelihood estimation,
Kalman filtering,
particle filtering. Sensor modeling and fusion. Mobile robot motion
estimation
(odometry, inertial,laser scan matching, vision-based) and path
planning.
Map representations, landmark-based localization, Markov localization,
simultaneous localization/mapping (SLAM), multi-robot
localization/mapping.
- EE 8589, Detection and
Estimation Theory
- EE 8950 Advanced Topics in
Electrical Engineering (Convex Optimization)
Fall 2005
- CSCI,
Artificial Intelligence I
Introduction to AI. Problem solving, search, inference techniques.
Logic and theorem proving. Knowledge representation, rules, frames,
semantic networks. Planning and scheduling. Lisp programming language.
- CSCI
5304 Computational Aspects of Matrix Theory
Perturbation theory for linear systems and eigenvalue problems.
Direct and iterative solution of large linear systems. Decomposition
methods.
Computation of eigenvalues and eigenvectors. Singular value
decomposition.
LAPACK and other software packages. Methods for sparse and large
structured matrices.
Spring 2005
- CSCI 5708 Architecture and
Implementation of Database Management Systems
Techniques in commercial/research-oriented database systems.
Catalogs. Physical storage techniques. Query processing/optimization.
Transaction management. Mechanisms for concurrency control, disaster
recovery,
distribution, security, integrity, extended data types, triggers, and
rules.
- CSCI 8363 Numerical
Linear Algebra in Data Exploration
Computational methods in linear algebra, matrix decompositions for
linear equations,
least squares, eigenvalue problems, singular value decomposition,
conditioning, stability
in method for machine learning, large data collections. Principal
directions, unsupervised
clustering, latent semantic indexing, linear least squares fit. Markov
chain models on
hyperlink structure.
- CSCI
8970 Computer
Science Colloquium
Recent developments in computer science and related disciplines.
Fall 2005
- CSCI
5521 Pattern Recognition
Problems of pattern recognition, feature selection, measurement
techniques. Classification
methods: statistical decision theory, nonstatistical techniques.
Automatic feature selection and data
clustering. Syntactic pattern recognition. Mathematical pattern
recognition and artificial intelligence.
Applications in information retrieval and WWW data mining.
- EE 8591 Predictive Learning
From Data
Methods for estimating
dependencies from data have been traditionally explored in such
diverse fields as: Statistics (multivariate regression and
classification), Engineering (pattern recognition,
system identification) and Computer Science (artificial intelligence,
machine learning, data mining).
Recent interest in learning methods triggered by the widespread use of
computers and database
technology has resulted in the development of biologically motivated
methodologies, such as
(artificial) neural networks, fuzzy systems and wavelets. Unfortunately,
developments in each field
are seldom related to other fields. Many data mining application lead to
predictive learning methods,
where available (historical) data is used to estimate models with high
generalization capability
(i.e., models capable of prediction or decision making with new data).
This course will first provide
general conceptual framework for learning dependencies from data, and
then discuss predictive
learning methods developed in statistics, pattern recognition and
machine learning.
- PSY 5038W Introduction to
Neural Networks
Introduction to large scale
parallel distributed processing models in neural and cognitive science.
Topics include: linear models, statistical pattern theory, Hebbian
rules, self-organization, non-linear models,
information optimization, and representation of neural information.
Applications to sensory processing,
perception, learning, and memory.
- NSci 8217 Systems and
Computational Neuroscience
Topic: Error Correction and Prediction
Spring 2006
- PSY 8036 Object Recognition:
Computation and Neuroimaging
The ability to visually recognize objects is
important for a wide range of behavioral functions
such as navigation, object manipulation, social interaction, mate
selection, language, foraging,
and avoiding danger. Although we are still far from a complete model of
human object recognition,
there is growing consensus regarding its overall computational
architecture. Evidence from computational,
behavioral, and neural studies suggests the following picture. Visual
recognition begins with a fast
feedforward process that extracts features (based on a sequence of
spatial-temporal filtering operations,
possibly over a sequence of cortical regions). These features serve to
rapidly index or “propose” candidate
object categories, such as “ animal“, “car”, "face", etc.. For a typical
natural image, it seems unlikely
that complete reliable object boundaries are extracted at this initial
stage. Instead, depending on the
confidence level required for specific task goals, feedback would be
important to facilitate boundary
and shape estimation, to verify object decisions, do category
refinement, and initiate additional fixations.
In this seminar we focus on the fast initial feedforward access to
object categories. We will read recent litereature and discuss current
computational theories and neural mechanisms of object categorization.
We will pay particular attention to computational models of object
categorization that work with
natural image input, and explore their possible relationships to studies
of human cortical activity as measuring using fMRI.
- CGSC 8410 Perspectives in
Learning, Perception and Congition
Cognitive Science colloquia
Fall
2006
- EE5371 Computer Systems
Performance Measurement and Evaluation
- IDSC 8711
Cognitive Science
Spring
2007
- CGSC 8000 Philosophy of Cognitive
Science
- Proseminar of Cognitive Science
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