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.
Participants will walk away with practical knowledge of how to prepare data for MATLAB and then use MATLAB for computation, analysis, and visualization.
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 here. At a minimum, participants in this session should be familiar with the material covered in the MATLAB OnRamp, a 2-hour self-paced online starter course from MathWorks (the makers of MATLAB).
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, as described in the advance setup guide for PICSciE virtual workshops. Then, connect to “myadroit” and start a MATLAB session, as described here.
Presentation, demo, and hands-on
All presentation materials are here.
A recording of the session is here (requires active Princeton NetID to view).