Developing Computational Skills in the Sciences with MATLAB
Thursday, April 27, 2017
12:00 pm Pacific | 1:00 pm Mountain | 2:00 pm Central | 3:00 pm Eastern
Presenters: Lisa Kempler (MathWorks), Alain Plattner (California State University–Fresno), Benjamin Bratton (Princeton University), and Daniel Zysman (Massachusetts Institute of Technology
At the end of this webinar, participants will have...
- Access to resources about teaching computation, using MATLAB as a tool
- Examples of teaching activities that address some common challenges of teaching computational skills
- Strategies for teaching visualization, data processing, and analysis of scientific data
- An opportunity to join a growing community of peer educators
Time - 12:00 pm Pacific | 1:00 pm Mountain | 2:00 pm Central | 3:00 pm Eastern
Duration - 1 hour
Format - Online web presentation via Adobe Connect web conference software with questions and discussion. To join the webinar, please visit: http://serc.adobeconnect.com/matlab/ and follow the prompts.
Registration is closed.
Preparation - There is no advance preparation required for this webinar.
Please email Rory McFadden (rmcfadden AT carleton.edu) if you have any questions about this event.
Lisa Kempler, MATLAB Community Strategist, MathWorks
Alain Plattner, Earth and Environmental Sciences, California State University–Fresno
Benjamin Bratton, Molecular Biology, Princeton University
Daniel Zysman, Brain and Cognitive Sciences, Massachusetts Institute of Technology
Developing Computational Skills in the Sciences with Matlab Webinar 2017 (PowerPoint 2007 (.pptx) 15MB May30 17)
1) Welcome and Introductions
2) Introduction to the site and resources – Lisa
3) Common challenges of teaching computational skills
4) Teaching activities that address these challenges
- Choice of geophone layout in a simple near-surface seismics setting – Alain
- Building Modular Tools for Visualizing Computation – Benjamin
- Principal Component Analysis – Daniel
6) Main takeaways and upcoming opportunities – Lisa
7) Webinar Evaluation
- Teaching Computation in the Sciences with MATLAB
- Teaching with Data, Simulations, and Models using MATLAB
- About MATLAB
- Teaching Computation in the Sciences with MATLAB:
- Teaching Activity Collection
- Choice of geophone layout in a simple near-surface seismics setting
- Building Modular Tools for Visualizing Computation
- Principal Component Analysis
- Teaching approaches:
This webinar is sponsored by