Lunch and Learn: Python programming for engineering and the sciences.
Sponsored by the IEEE Computational Intelligence Society and Saint Mary's University.
Please ensure you register for the event. Pizza, snacks and refreshments to be provided.
There are many open source programming tools for the analysis of natural and human-made systems. This learning event will provide a brief introduction to the use of the python programming language for computational intelligence. Various useful python modules will be introduced along with relevant online references. These topics are especially useful for undergraduate and graduate students that are curious about advanced programming techniques for their program of study. Introductory applications in artificial intelligence and optimization will be presented. There will be time during the event for networking and discussion.
Date and Time
Location
Hosts
Registration
- Date: 16 Dec 2016
- Time: 12:00 PM to 02:00 PM
- All times are (UTC-04:00) Atlantic Time (Canada)
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- 923 Robie Street
- Halifax, Nova Scotia
- Canada B3H 3C3
- Building: Loyola
- Room Number: L171
- Click here for Map
- Contact Event Host
- Co-sponsored by Saint Mary's University
- Starts 12 December 2016 09:00 PM
- Ends 16 December 2016 11:59 AM
- All times are (UTC-04:00) Atlantic Time (Canada)
- No Admission Charge
Speakers
Jason Rhinelander of Saint Mary's University
Lunch and Learn: Python programming for engineering and the sciences.
There are many open source programming tools for the analysis of natural and human-made systems. This learning event will provide a brief introduction to the use of the python programming language for computational intelligence. Various useful python modules will be introduced along with relevant online references. These topics are especially useful for undergraduate and graduate students that are curious about advanced programming techniques for their program of study. Introductory applications in artificial intelligence and optimization will be presented. There will be time during the event for networking and discussion.
Biography:
Dr. Jason Rhinelander is an assistant professor in the Division of Engineering at Saint Mary’s University. An expert in Artificial Intelligence, he focuses his research on applying machine learning and optimization to embedded, real-time system development – both in hardware and software.
Dr. Rhinelander specializes in using kernel machine algorithms for online machine learning, big data applications, and problem solving related to computer vision, signal processing, system optimization and extraction of knowledge from large data sets. His research area lends itself to a wide variety of applications, including underwater SONAR imagery for automated identification of objects on the seabed. He has completed industry applied research and development in the areas of offshore mooring inspection systems and supply chain demand prediction for retail goods; and is currently listed as a researcher for an upcoming project to provide data analytics support for underwater acoustic data.
Since arriving at Saint Mary’s in 2013, he has taught courses in programming, engineering mechanics, engineering economics, electrical circuit analysis, and probability and statistics. A dedicated teacher who focuses on engineering problem solving using a modern programming language, he strives to engage his students and communicate foundational engineering methodologies.
Email:
Address:923 Robie Street, , Halifax, Canada, B3H3C3
Jason Rhinelander of Saint Mary's University
Lunch and Learn: Python programming for engineering and the sciences.
Biography:
Email:
Address:Halifax, Canada