The physical world around us changes in a continuous fashion. We generally describe the raw information or signal in the scientific, engineering, industrial and medical fields as "analog data". Yet the greatest advances in information age is based on digital computing, particularly the binary systems. Data acquisition (DAQ) or data acquisition system (DAS) is the bridge that brings these two worlds together.

A data acquisition system typically involves sensor on one end and computer interface on the other end. It is the core technology for many Silicon Valley industries. Application examples can be found in semiconductor manufacturing equipment, industrial and robotic controllers, image and signal processing, medical devices, NASA and university research centers. Several local yet global leadership companies produce a range of DAQ products, covering system, software, boards and chips.

With the introduction of a center-piece course "Data Acquisition System Design and Implementation" in the fall quarter, we are bringing together a rich curriculum for the engineering professional interested in DAQ: Introduction to Analog IC Design, Mixed-signal IC Design, Fundamentals of Digital Signal Processing, DSP Applications in Audio, Imaging, and Communications Systems, and Introduction to Real-time Embedded Systems Programming. Designers, developers, application engineers, programmers, and marketers all can acquire depth of knowledge in these fields.