BSTA 375
Analyzing Health Sensor Data
This course will convey specialized methodologies of data collection and the statistical analysis of health-related time-series data collected from sensors. Of particular interest are data generated by environmental sensors, wearable devices, and medical instrumentation. Through a series of health-related case studies, students will have the opportunity to explore signal processing, filtering, modeling, and forecasting techniques. Computing will be a significant component of the course, ensuring that students acquire the skills necessary to apply these techniques to health-related sensor data. Prerequisites: BSTA 142
Sources
- Course catalogue ↗2026-2027