Overview
Data acquisition systems are common in nearly all areas of science and engineering, from research laboratories to production lines. The cost of data acquisition equipment continues to decrease, while performance improves. The equipment is used in measurement, communications, and many other applications. Despite their prevalence and apparent ease-of-use, data acquisition systems can provide incorrect results when improperly selected or used – an occurrence that is much more common than one might expect. This course presents the fundamental principles of data acquisition and will benefit anyone specifying, selecting, or using data acquisition equipment.
The course features graphical depictions of key concepts including time- and frequency-domain plots of aliasing as well as common filter types. The most common analog-digital converter architectures are introduced and their relative features compared and contrasted. The course also provides valuable reference information.
The student must take a multiple-choice quiz consisting of ten (10) questions at the end of this course to obtain PDH credits.
Specific Knowledge or Skill Obtained
This course teaches the following specific knowledge and skills:
- Aliasing: cause and consequences
- Anti-aliasing filters
- Types of analog-digital converters
Course
Click on the following link to the PDF document to review the course material before taking the quiz for credit.
Fundamentals of Data Acquisition
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