This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics include various properties of signals and systems, convolution, the Fourier transform, sampling theorem, z-transform, spectral analysis, filter design, and system identification. Includes: Experiential Learning Activity Precludes additional credit for PLT 2010 (no longer offered). Prerequisite(s): BIT 1200 and BIT 1201. Restricted to students in the B.I.T. degree program. Lectures three hours a week, tutorial one hour a week.
This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics include various properties of signals and systems, convolution, the Fourier transform, sampling theorem, z-transform, spectral analysis, filter design, and system identification. Includes: Experiential Learning Activity Precludes additional credit for PLT 2010 (no longer offered). Prerequisite(s): BIT 1200 and BIT 1201. Restricted to students in the B.I.T. degree program. Lectures three hours a week, tutorial one hour a week.
