Courses

Study of semiconductor devices including diodes, field effect transistors, bipolar junction transistors, and operational amplifiers; applications include signal conditioning, power supplies, active filters, discrete transistor amplifiers, and transistor switching/driver circuits.

This course is designed to provide in-depth knowledge and experience in the placed on the construction, characteristics and applications of diodes, rectifiers, is gained through circuit construction, testing and troubleshooting.

Small signal model of diodes, applications, advanced op-amp applications, principle of operation of FETs, small signal model of FET and basic FET amplifiers, small signal model of BJT and basic BJT amplifiers, differential and multistage amplifiers, Miller's Theorem, Nyquist stability criterion and frequency response, internal circuit of typical op-amp.

Amplifier modeling. Design and analysis of single- stage and multistage transistor amplifiers. Biasing for integrated circuit design. Operational amplifier circuits.

This course covers advanced analysis and design using opamps, differential amplifier, half-circuit analysis, error analysis and compensation. Applications include signal conditioning for instrumentation, instrumentation amplifiers, nonlinear and computational circuits, analog filter design, voltage regulator design, oscillators, and circuit configurations for A-to-D and D-to-A conversion methods.

This course covers advanced analysis and design using opamps, differential amplifier, half-circuit analysis, error analysis and compensation. Applications include signal conditioning for instrumentation, instrumentation amplifiers, nonlinear and computational circuits, analog filter design, voltage regulator design, and oscillators, circuit configurations for A-to-D and D-to-A conversion methods.

Students are introduced to advanced exposure techniques and the principles

Crystallography, physics of X-rays, diffraction by crystalline materials, applications of X-ray, electron and neutron diffraction, and spectrometric analysis of materials. Writing proficiency is required for a passing grade in this course. A student who does not write with the skill normally required of an upper-division student will not earn a passing grade, no matter how well the student performs in other areas of the course. Prerequisite(s) with concurrency: MTE 275

Principles of data analysis based on real examples will be discussed. Topics include measures of central tendency, dispersion, confidence intervals, sampling issues, probability distributions, etc.

Concepts, methods, approaches, standards, and tools in analyzing, modeling, designing, and implementing user centered health information systems.