By the end of the course, students will be able to:
1) Conduct elementary DC circuit analysis with Kirchhoff’s laws and equivalence in RLC circuit components and build simple DC circuits on breadboards.
2) Explain component impedance matching and the operation of different sensor/transducer and signal conditioning systems
3) Quantify and evaluate the time response of first-order systems.
4) Identify appropriate sampling configuration for measurement systems and identify resolution and associated uncertainty.
5) Classify time varying signals and plot their amplitude and power spectra and determine proper sampling frequencies for discrete data
6) Describe aliasing and amplitude ambiguity and determine the appropriate sample period and rate, filtering and instrument signal ranges for use in a PC-based data acquisition system.
7) Conduct error analysis of measurements and distinguish between systematic and random errors, estimate design-stage and measurement uncertainties.
8) Implement automated data analysis using scripting software.
9) Conduct least squares regressions and correlation analyses on data and calculate confidence intervals on fits and auto-correlation in time-series data.