Ocean S.T.E.A.M.™
Ocean Mapping
May 29 - June 3, 2022

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Our world is primarily covered in water, yet the ocean remains one of the last unexplored frontiers on our planet, with only a small percentage of it mapped to modern standards. Knowledge of the three-dimension shape, structure and materials that make up this under-explored area is the foundation of nearly all other ocean sciences. However, collecting ocean mapping is challenging and requires complex sonar systems that operate from ocean-going vessels. This course will explore the theory, tools, and applications of mapping the ocean floor using sonar. Students will get hands-on experience with various sonar systems and experience ocean data collection. Activities during the week will engage students with engineering and science principles, marine robotics, and modern software to create 3D maps of the ocean floor.
 
Example Career Connections: Geomatics Engineer, Hydrographer, Geophysicist, Oceanographer, Marine Robotics Technologist

Schedule at a Glance

Narrative Schedule

Location Details

What to Bring

Course Instructor

Student Life

Schedule at a Glance

Activities will focus on hands-on experience with equipment and software to collect ocean mapping data and create 3D maps of the ocean floor. The practical exercises will be balanced with theory to explain what we observe and include discussions of real-world applications. The days are full, with one activity flowing into the next, and will include evening sessions. The following schedule is provided as an inspirational guide, but we may have to juggle activities based on weather conditions for each day.

Day 1:  Arrival/settle-in. Orientation.
 
Day 2:  Ocean mapping applications. Overview of introductory concepts and equipment. Boat trip to collect ocean mapping sonar data.
 
Day 3:  The Open Sonar Project – Build a sonar system. Tour of Huntsman Fundy Discovery Aquarium.

Day 4:  The Open Sonar Project – Build a sonar system continues. Data collection. Data processing.
 
Day 5:  Data processing and analysis. Data visualization and interpretation.
 
Day 6:  Presentations. Clean lab. Group photo. Wrap-up.