Fundamental topics in statistical pattern recognition including Bayesian decision theory, Maximum-likelihood and Bayesian estimation, non-parametric density estimation, feature selection, dimension reduction, and clustering, with application to image pattern recognition.

Theory, design, and applications of biologically inspired computational paradigms, including artificial neural networks, evolutionary computation, swarm intelligence, and hybrid intelligent systems.

State representation of dynamic systems. Mathematical models of physical devices, controllability and observability. Design of closed-loop systems. Optimal control theory.

Processing and interpretation of images by computer. Emphasis on current applications with real images used in programming assignments

Probability and stochastic processes used in random signal analysis. Response of linear systems to random inputs

Advanced topics in filter design and implementation. Emphasis placed on current applications and on the processing of real signals

Machine automation concepts in electrical circuits, precision mechanics, control systems, and programming. Motor sizing, gearing, couplings, ground loops, effective use of step motors, servo control loops, regeneration, networking, I/O, power supplies, vibration and resonance, mechanical tolerancing, linear bearings and drive mechanisms, and troubleshooting.

Modeling and simulation of dynamic system performance. Control system design for continuous systems using both analog and digital control techniques

Measurement of steady-state and dynamic systems using standard laboratory instruments. Calibration, dynamic response of instruments, statistical treatment of data, and applied feedback control systems.

Microcontrollers, architecture, bus organization and address decoding. Design concepts for microcontroller systems, including A/D and D/A conversion, serial communications, bus interfacing, interrupt processing, power regulations, timers, pulse width modulation, programmable I/O ports, and error control coding.

Design and performance of machine components and systems subjected to both steady and variable loading conditions. Introduction to failure theories, reliability, use of codes and standards, and standard design practices.

Ideal diodes. Zener diodes and regulation. Photodiodes and solar cells. Biasing and DC behavior of bipolar transistors. JFETs and MOSFETS. Small-signal AC equivalent circuits. Single-state transistor amplifiers. Low-frequency response. Discrete feedback amplifiers.

Advanced concepts related to analysis and applications of linear circuits. Including analysis of circuits with dependent sources, Thévenin equivalents, Fourier series, multi-stage operational amplifier circuits, transfer functions, magnitude and phase response, filter applications and design, transient analysis with Laplace Transforms.

Development of low level Embedded Systems Applications, using both Assembly Language and C. Including microprocessor architecture concepts, instruction set architectures, Assembly Language programming, data representations, interrupt handling and execution modes, low level C programming, and the use of on-chip and external peripherals.