May 1, 2024
Updated May 11, 2025
19 minute read
Data acquisition, at its core, is the process of capturing signals that measure real-world physical conditions and converting these samples into digital numeric values that a computer can manipulate. Think of it as the crucial first step in understanding anything from the temperature of a room to the vibrations in a complex piece of machinery. This field is fundamental to countless industries, enabling them to monitor, analyze, and control physical phenomena with increasing precision.
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Find a path to becoming a Data Acquisition. Learn more at:
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Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Acquisition.
Delves into the principles and practices of electronic instrumentation and measurement techniques. It provides a thorough understanding of the fundamentals of data acquisition and analysis, making it suitable for those seeking a deeper understanding of the subject matter.
Covers the principles and applications of sensors and signal conditioning, which are essential components of data acquisition systems. It provides a foundation for understanding the principles of data acquisition.
Focuses on data acquisition and control using MATLAB. It provides a practical guide to implementing data acquisition and control systems using MATLAB, which widely used platform for data analysis and control engineering.
Focuses on data acquisition and processing for embedded systems. It provides insights into the principles and techniques used for data acquisition and processing in embedded systems, which are used in various applications such as IoT devices and industrial automation.
While this book covers a broad range of instrumentation and control topics, it includes a chapter on data acquisition systems, providing an overview of the principles and applications of data acquisition.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/p48ymk/data