This intensive field
course will provide students with an immersive and cross-cultural experience in
the deployment of autonomous ocean sensors and the analysis of resulting data
using advanced statistical and data science approaches. Students will have access to a variety of
sensors that will be used to examine fundamental oceanographic and geophysical
processes through self-directed projects. The course will be primarily taught
in English.
LEARNING
OBJECTIVES
· Apply and extend the concepts and tools developed in
the PRODIGY Ocean Data course for data collection, analysis and visualization
in a field-based setting
· Develop hands-on experience deploying ocean sensors
and evaluating data quality
· Gain exposure to modern instrumentation used for
autonomous ocean data collection, and use these sensors to measure
environmental variables and test hypotheses
· Explore the use of ocean data and models to support sustainable
salmon aquaculture, seismic risk assessment and other important socio-economic
areas.
We will
take advantage of the field course to deploy some hands-on activities in ocean
data collection, analysis, visualization, with application to decision
making. Focal areas will include marine
aquaculture and seismic hazards. Students from Canada and Chile will work in
teams, bridging scientific disciplines to share their experiences and
expertise.
APPLICATION REQUIREMENTS
The
course will be open to senior undergraduate students, professionals and
graduate students in areas related to earth sciences (eg. oceanography,
geophysics, computer science and statistics).