Intro to MATLAB - Nov 6 - Class Page

Tuesday, November 6, 2018

The best way to learn how to program is to do something useful, so this introduction to MATLAB is built around a common scientific task: data analysis. The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop. Here is a sample of the session materials.

Be sure to complete the pre-workshop survey below. We use this to calibrate the pace of the workshop and, together with a post-workshop survey, to assess how it went.

Surveys

Pre-Workshop Survey

Post-Workshop Survey

Make sure you have the necessary software installed on your laptop. Please also download the relevant data set and MATLAB code. If you have any trouble, send us an email or come a little early Tuesday morning. Someone will be there by 11:00AM to help with installation issues.

MATLAB

You will need to install MATLAB to do this lesson. UC Santa Barbara has a Total Academic Headcount (TAH) license which provides campus-wide access to MATLAB, Simulink, and a variety of add-on products. All faculty, researchers, and students can use MATLAB on their personal computers and laptops. Download MATLAB here.

Obtain lesson materials

  1. You will also need to download some data, which we will analyze using MATLAB:
  2. Make a new folder on your Desktop called matlab-novice-inflammation.
  3. Download matlab-novice-inflammation.zip and move the file to this folder.
  4. Extract the zip archive. This will place all the data in the matlab-novice-inflammation directory. Note that on Windows, double-clicking on the zip file simply previews the contents: to extract, right-click and select Extract All

We will be providing a pizza lunch after the 60 minute session.

If you won’t be able to attend, please let us know so that we can offer your seat to someone on the waitlist.

Getting to the workshop: Elings Hall is located by the Engineering buildings and Henley Gate. Room 1601 is located on the first floor. Here is a UCSB map.

Slides and recordings will be posted on csc.cnsi.ucsb.edu.