Biomedical Engineering 415 - Sensor Systems and Data Analytics
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 the area of biomedical engineering.
At the University of Calgary I have been instructed several tutorials and labs for courses including:
Numerical Methods (EENG 407), Electric Circuit Theory (BMEN 327), Design and Communications I&II (ENG 251/253),
and Medical Imaging (MDSC 689.01).
At the Unveristy of Calgary I also participated in teaching assistantships whereby I assist in the
development of courses, including: Medical Imaging (MDSC 689.01) and a newly offered graduate course
called Imaging Theory.
Most courses from my time at Lakehead, but I have posted some of the more refined course notes. I have organized into the resepective courses.
Analog Circuit Design
Computer Circuit Design
Digital Signal Processing
Power System Analysis
In the past I have taught downhill skiing and am certified to teach advanced skiing and downhill ski racing.
Since 2009 as part of my commitment to the Canadian Ski Patrol I have helped instruct the Calgary
Zone Ski Improvement Sessions held weekly through the winter season at Canada Olympic Park.