This course is designed to expose students to methods and instruments used to collect and process data in sport science practice and research. The number of new instruments and technologies to assess athlete performance and risk of injury has grown exponentially from amateur to professional levels; and will continue to grow. It is more important than ever, therefore, that sports sciences researchers and practitioners understand how these instruments and technologies develop signals and how the data are analyzed.

This course will balance the theory of data acquisition and signal processing with the practical application of these instruments and technologies in various settings. Emphasis will be placed on motion analysis, force transducers, and muscle activation. A large practical focus of this course will be on the implementation, collection, and processing of this data. This course will also introduce students to various types of computational modeling. Finally, we will spend time discussing evidenced-based best practices in sport sciences instrumentation with a strong emphasis on instrument and model validation.