Special Topic Courses
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Permanent Course Descriptions and Outlines
Optical Fibers
Provides an in-depth understanding of the light guiding properties of
optical fibers as used in communication systems.
optical fibers as used in communication systems.
Nonlinear Optics
Provides an introduction to the field of nonlinear optics, exploring the
physical mechanisms, applications, and experimental techniques.
physical mechanisms, applications, and experimental techniques.
Modulation, Diffractive and Crystal Optics
Provides a working knowledge of temporal and spatial optical modulation,
diffractive optical devices and crystal optics.
diffractive optical devices and crystal optics.
Organic Optoelectronics
Fundamental understanding of the optical and electronic properties of organic materials and devices that form the basic of the emerging technological area of printed flexible optoelectronics.
Optoelectronics: Devices, Integration, Packaging, Systems
Optoelectronic devices (detectors, emitters, modulators) from the
practical realized and theoretical performance perspective. Explores
monolithic and hybrid integration of devices, packaging and system
implementation.
practical realized and theoretical performance perspective. Explores
monolithic and hybrid integration of devices, packaging and system
implementation.
Fiber Optic Networks
Architectural, performance and design aspects of fiber-optic
communications networks, components and technologies. Relationship
between the physical network implementation and the higher-level
network architecture.
communications networks, components and technologies. Relationship
between the physical network implementation and the higher-level
network architecture.
Linear Systems and Controls
Introduction to linear system theory and feedback control. Topics include
state space representation, controllability and observability, linear
feedback control.
state space representation, controllability and observability, linear
feedback control.
Digital Control
Techniques for analysis and synthesis of digital control systems. Sample-data systems, state-space systems, and linear feedback design.
Nonlinear Systems and Control
Classical analysis techniques and stability theory for nonlinear systems.
Control design for nonlinear systems, including robotic systems. Design
projects.
Control design for nonlinear systems, including robotic systems. Design
projects.
Optimal Control and Optimization
Optimal control of dynamic systems, numerical optimization techniques and
their applications in solving optimal-trajectory problems.
their applications in solving optimal-trajectory problems.
Adaptive Control
Methods of parameter estimation and adaptive control for systems with
constant or slowly-varying unknown parameters. MATLAB design projects
emphasizing applications to physical systems.
constant or slowly-varying unknown parameters. MATLAB design projects
emphasizing applications to physical systems.
Optimal Estimation
Techniques for signal and state estimation in the presence of measurement
and process noise with the emphasis on Wiener and Kalman filtering.
and process noise with the emphasis on Wiener and Kalman filtering.
Intelligent Control
Principles of intelligent systems and their utility in modeling,
identification and control of complex systems; neuro-fuzzy tools applied
to supervisory control; hands-on laboratory experience.
identification and control of complex systems; neuro-fuzzy tools applied
to supervisory control; hands-on laboratory experience.
Manufacturing Systems Design
Analytic and simulation tools for design, control and optimization of
manufacturing systems. Discrete event dynamic systems and optimization.
manufacturing systems. Discrete event dynamic systems and optimization.
Stochastic Systems
Advanced techniques in stochastic analysis with emphasis on stochastic
dynamics, nonlinear filtering and detection, stochastic control and
stochastic optimization and simulation methods.
dynamics, nonlinear filtering and detection, stochastic control and
stochastic optimization and simulation methods.
Advanced Linear Systems
Study of multivariable linear system theory and robust control design
methodologies.
methodologies.
Advanced Computer Vision & Image Processing using PDEs and Active Contours
Algorithms for computer vision and image processing, emphasizing partial-differential equation and active contour methods. Topics include image smoothing and enhancement, edge detection, morphology, and image reconstruction.
Computing for Control Systems
Introduction to real-time computing, distributed computing, and software engineering in control systems. The particular requirements of control systems will be presented.
Autonomous Control of Robotic Systems
Fundamental issues associated with autonomous robot control. Emphasizes biological perspective that forms the basis of many current developments in robotics.
Networked Control and Multiagent Systems
Covers tools and techniques for networked control systems as well as application domains and promising research directions.