Introduction to matrix and tensor manipulation with focus on computer programming aspects. Sensor systems and design of data collection strategies, with examples in relevant areas of biomedical engineering. Data curation and conditioning including outlier and anomaly pattern detection, noise removal and data reduction. Unsupervised clustering and association mining using machine learning techniques. Supervised classification using advanced machine learning techniques. Completion of a sensor- and data-oriented project in an area of biomedical engineering.
This course may not be repeated for credit.

Sections

This course will be offered next in Winter 2025.