Data Analysis, using MATLAB

This session will get participants started in data analysis using MATLAB. In the process, it will introduce and discuss aspects of MATLAB that will help attendees begin the transition to becoming MATLAB power users. The session will be extremely interactive, with copious hands-on examples. It is ideal for advanced undergraduates or early-stage graduate students, or more generally for those who are at the initial stages of independent quantitative research (including computationally intensive research) that relies heavily on MATLAB as a tool.

Learning objectives:

Participants will walk away with practical knowledge of how to prepare data for MATLAB and then use MATLAB for computation, analysis, and visualization.

Knowledge prerequisites:

Participants should have prior experience programming in MATLAB and understand its basics –" this session is not appropriate for people who have never used MATLAB. Links to resources covering absolute MATLAB basics can be found at https://researchcomputing.princeton.edu/external-online-resources/matlab. At a minimum, participants in this session should be familiar with the material covered in the MATLAB OnRamp (https://www.mathworks.com/learn/tutorials/matlab-onramp.html), a 2-hour self-paced online starter course from MathWorks (the makers of MATLAB).

Hardware/software prerequisites:

Participants should have MATLAB installed on their laptops in order to follow along with the hands-on exercises. Alternately, participants who prefer to run MATLAB remotely on one of Princeton’s systems can do so via the “myadroit” web interface to the Adroit cluster. To do so, you should first register for an account on Adroit (https://researchcomputing.princeton.edu/systems/adroit), as described in the advance setup guide for PICSciE workshops (https://researchcomputing.princeton.edu/learn/workshops-live-training/requirements-picscie-virtual-workshops). Then, connect to “myadroit” and start a MATLAB session, as described at https://github.com/PrincetonUniversity/hpc_beginning_workshop/tree/master/03_web_interface.

Session format:

Presentation, demo, and hands-on

What to expect:
Single workshop (one-off workshop –" 2 hours total)

Meet the facilitator:
Professor Simons, a geophysicist, is a veteran MATLAB user with over twenty years of experience of data analysis and visualization in the natural sciences. Find him on the MATLAB FileExchange and at https://github.com/fjsimons.

To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.

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Co-hosted with: PICSciE/Research Computing

Contact the organizers