KINS 2370: Data Acquisition and Signal Processing

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Course Format Lecture 2.0 h + Seminar 0.0 h + Lab. 2.0 h
Credits 3.0

Course Description

An introduction to data acquisition and signal processing, with applications to kinesiology. The role of each component of a typical data acquisition system will be described. Basic sampling theory and filtering will be covered, and reinforced with laboratory activities. Common pitfalls in data acquisition will be discussed, including aliasing, quantization, clipping, and noise. Students will work in the MATLAB computing environment to practice digital signal processing techniques.

Prerequisite(s): A minimum "C" grade in Precalculus 11 or MATH 1150; or MDT 70; or one of the following: MATH 1152, 1153, 1170, 1171, or 1173.

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