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MATLAB is one of the most popular programming languages today for engineers and scientists, and with good reason-it allows analysts to work efficiently with large amounts of data. Instructor Steven Moser shows you how to harness the MATLAB tools and create programs to model your own data and hypotheses. First, learn how to create basic variables and cell arrays, and work with the core MATLAB syntax, which is significantly different than other programming languages. Then discover how to create scripts and functions, work with matrices, debug your program, and import data. To illustrate your findings, Steven shows how to create 2D and 3D plots, add annotations, and incorporate images. The final chapter covers Simulink, the MATLAB block diagram tool. [Instructor] Whether you're using it professionally, academically, or as a hobbyist, MATLAB is the go-to platform for technical computing.
The basic MATLAB product is augmented with toolboxes and compatible products, which all tend to be lumped together by calling them 'toolboxes.' License fees vary by the license type (Concurrent, Group or TAH Student), by the toolbox, and by the number of users licensed to use the toolbox.
If you are in engineering, mathematics, or the physical sciences, and ready to crunch some numbers, you're in the right place. Hi, I'm Steven Moser and I've been putting MATLAB to use for the last 15 years as an engineer and academic. In this course, we'll get you started with MATLAB from the ground up.
We'll start by taking a tour of the interface and see how to create variables and cell arrays. Then, we'll move on to course and text principles while we create scripts, work with matrices, and control flow. We'll also do a bit of programming by creating our own function, import external data from a csv file, and do some de-bugging. Also, we'll see how to visualize our data by creating 2D and 3D plots, add annotations, and even work with images. Lastly, we'll take a peak at Simulink, which is MATLAB's block diagram tool. MATLAB is incredibly powerful and I can't wait to show you how to put it to work. So let's get started.
How would one check for installed MATLAB toolboxes in a script/function? (checking toolbox versions would also be good!) This could provide a quick and useful error message when someone attempts to run a script without a required toolbox. A quick, albeit rough, solution that comes to mind is parsing the text output of the command. I wonder if there's a better way. Some quick searching revealed ver product or the function with the 'test' argument may be useful, but I could not find a mapping of toolbox names (ie. 'Image Processing Toolbox') to product names (ie.
'control') or feature names (ie. Furthermore, when I ran license('inuse'), I only received the following: >> a = license('inuse'); a a = feature: 'matlab' user: I hoped for a list of the many toolboxes I have access to. This question was prompted by trying to test a co-workers script early. Unfortunately, it required the Image Processing Toolbox, which I currently lack.