Student Lounge

Sharing technical and real-life examples of how students can use MATLAB and Simulink in their everyday projects #studentsuccess

5 ‘How To’-Videos using MATLAB and Simulink

In today’s post Lauren Tabolinsky will share 5 short videos to help you get started using our tools.   We want to keep this playlist updated with new examples so please share your thoughts on what you think!

The competition team works with students from all over the world.  We also have Student Ambassadors who organize fun events, build online communities, and spread awareness for MATLAB on your campuses around the world. Last year we asked students we work with in these programs what they would like to learn in 7 mins or less with MATLAB and Simulink.  We received over 50 ideas and decided to create 5 videos based on what we heard. Here they are!

5 Videos


1. How to Extract Data Points from an Image

Learn how to extract data points from an image file. This demonstration uses a MATLAB Central File Exchange submission called GRABIT for extracting the data points.

2. How to Speed Up MATLAB Code

Explore tips and tricks that show how to speed up MATLAB code. This video shows you ways to measure how long the code takes to run, and it outlines how to identify which parts of the code are slow.

3. How To Use Live Scripts in MATLAB

Learn how to use live scripts in MATLAB to create an interactive narrative. To demonstrate how you can use MATLAB live scripts to create a notebook to tell a story with computations, this video uses an example of estimating power output from a typical solar panel installation.

4. How to Make Predictions Using Monte Carlo Simulations

Monte Carlo simulations are commonly used for answering probability questions. This video provides an overview of the method, and it gives examples and references relevant resources.

5. How To Analyze IoT Data

Analyze and visualize air quality sensor data using built-in MATLAB functionality in ThingSpeak™. Acquire, analyze, and visualize Internet of Things (IoT) sensor data. Use code templates or write your own MATLAB code.



The plan is to continue to add new videos to this playlist.  We’d love to hear your ideas and what you like about these videos. Please share thoughts in the comments section.



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