ECE Courses by TIG

Course NumberCourse Title and Catalog Description


Stochastic Systems

Advanced techniques in stochastic analysis with emphasis on stochastic dynamics, nonlinear filtering and detection, stochastic control and stochastic optimization and simulation methods.


Embedded and Hybrid Control Systems

Modeling, analysis, and design of embedded and hybrid control systems.


Control System Design

Design of control algorithms using state-space methods, microcontroller implementation of control algorithms in C, and laboratory projects emphasizing motion control applications.


Advanced Linear Systems

Study of multivariable linear system theory and robust control design 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.


Industrial Controls and Manufacturing

Students are introduced to industrial controls and the fundamentals of manufacturing with hands-on experience based on lab projects using industry software and hardware for communications and control. Crosslisted with TFE 4761.


Digital Control

Techniques for analysis and synthesis of computer-based control systems. Design projects provide an understanding of the application of digital control to physical systems.


Software Fundamentals for Engineering Systems

Using computer algorithms for solving electrical engineering problems arising in various application domains. Development of effective algorithms and their implementation by object-oriented code.


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.


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.


Manufacturing Systems Design

Analytic and simulation tools for design, control and optimization of manufacturing systems. Discrete event dynamic systems and optimization.


Signals and Systems

Continuous-time linear systems and signals, their mathematical representations, and computational tools; Fourier and Laplace transforms, convolutions, input-output responses, stability.


Game Theory and Multiagent Systems

An introduction to game theory and its application to multiagent systems, including distributed routing, multivehicle control, and networked systems.


Neural Networks and Fuzzy Logic in Control

Principles of neural networks and fuzzy systems; the MATLAB Neural Network and Fuzzy Logic Toolboxes; examples from system identification, classification and control; laboratory experience.


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.


Optimal Control and Optimization

Optimal control of dynamic systems, numerical optimization techniques and their applications in solving optimal-trajectory problems.


Optimal Estimation

Techniques for signal and state estimation in the presence of measurement and process noise with the emphasis on Wiener and Kalman filtering.


System Theory for Communication and Control

Study of the basic concepts in linear system theory and numerical linear algebra with applications to communication, compution, control and signal processing. A unified treatment.


Introduction to Automation and Robotics

Concurrent engineering principles; robotic manipulator kinematics, dynamics and control; applications of robots in industry, medicine and other areas; team projects and hands-on laboratory experience.


Nonlinear Systems and Control

Classical analysis techniques and stability theory for nonlinear systems. Control design for nonlinear systems, including robotic systems. Design projects.


Computatonal Computer Vision

Computational and theoretical aspects of computer vision. Application areas include robotics, autonomous vehicles, tracking, and image-guided surgery. Includes major project.


Feedback Control Systems

Analysis and design of control systems. Laplace transforms, transfer functions, and stability. Feedback systems: tracking and disturbance rejection. Graphical design techniques.


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.


Networked Control and Multiagent Systems

Covers tools and techniques for networked control systems as well as application domains and promising research directions.


Linear Systems and Controls

Introduction to linear system theory and feedback control. Topics include state space representation, controllability and observability, linear feedback control.


Engineering Software Design

Object-oriented software methods for engineering applications. Numerical analysis methods; simulations and graphical presentation of simulation results; analysis of numerical precision. Programming projects.