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This year, the 3-day MATLAB workshop is going Virtual: October 11-13 2020. (Sunday evening - Tuesday afternoon, CST). If you're teaching science, math, engineering or related disciplines, consider signing up now. The application deadline is July 31st. Apply for the workshop: Workshop Application

Details: Name: Teaching Online Computation Using MATLAB (Virtual) Date: October 11-13 2020 (Sunday afternoon -- Tuesday mid-afternoon, US time zones) Location: Zoom session Audience: Educators teaching undergraduate and graduate-level science, math, engineering and related disciplines

At the 2020 virtual workshop, you’ll have opportunities to • Curriculum: Upgrade your curriculum with a focus on transitioning to online learning • Mentoring: Meet in 1-on-1 coaching sessions with faculty, education professionals, and MATLAB experts • Publish and Cite: Get your teaching activities peer reviewed and citable for inclusion in your CV • Community: Collaborate with and build connections to a network of educator peers all working on impactful computational skill development in their courses • Learn: Learn how to embed new MATLAB tools in courses to improve student learning (Note that the workshop will use online technologies to enable 1-on-1 mentoring, group work, and community building. As in past years, the focus will be curriculum development, less presentation.)

In addition, you’ll have the chance to learn how to incorporate MATLAB Live Scripts, MATLAB Online, MATLAB Grader, and more.

This virtual will include working groups for building your curriculum. Participants will be matched with like educators.

Apply now to save your spot and help the conveners plan effective groups.

The workshop hosts will review applications and send acceptances status by early August.

Looking forward to your participation in the workshop, Cathy Manduca, Executive Director, SERC Lisa Kempler, Sponsor, MathWorks Don Baker, McGill University, workshop convener Dan Burleson, University of Houston, workshop convener and review editor Kelly Roos, Bradley University, workshop convener and reviewer Kristi Closser, California State University, Fresno, workshop convener and reviewer

P.S. For reference, 2019 workshop program

Jiro Doke
Jiro Doke
最後のアクティビティ: 2020 年 7 月 1 日

Discussion on virtual instructional labs

Here's an thread on comparing various types of instructional labs (on-campus, virtual, remote, kits). Each type has pros/cons and things that you need to consider.

https://twitter.com/RebeccaEE/status/1237561015350386690

Rik
Rik
最後のアクティビティ: 2024 年 9 月 17 日

What frustrates you about MATLAB? #2

Similar to what has happened with the wishlist threads (#1 #2 #3 #4 #5), the "what frustrates you about MATLAB" thread has become very large. This makes navigation difficult and increases page load times.
So here is the follow-up page.
What should you post where?
Wishlist threads (#1 #2 #3 #4 #5): bugs and feature requests for Matlab Answers
Frustation threads (#1 #2): frustations about usage and capabilities of Matlab itself
Missing feature threads (#1 #2): features that you whish Matlab would have had
Next Gen threads (#1): features that would break compatibility with previous versions, but would be nice to have
@anyone posting a new thread when the last one gets too large (about 50 answers seems a reasonable limit per thread), please update this list in all last threads. (if you don't have editing privileges, just post a comment asking someone to do the edit)
Michael Carone
Michael Carone
最後のアクティビティ: 2020 年 7 月 9 日

Simulink can now run in your web browser

As an environment for modeling, simulating, and testing dynamic systems, Simulink is used for:

Simulink is now available in a web browser as Simulink Online.

Simulink Online is available to anyone with access to MATLAB Online (see supported license types here) and a Simulink license.

Just sign into MATLAB Online and either start Simulink or open a Simulink model.

Learn more about Simulink Online at the product page on our website.

Simulink Online currently supports the following toolboxes, with more to be added in the future!

  • Simulink
  • Stateflow
  • Simscape
  • Simscape Electrical
  • Simscape Multibody
  • Simulink Control Design
  • DSP System Toolbox

MathWorks gave a perspective on 'Bridging the Technology Readiness Gap with Simulation and Virtual/Remote Testbenches' at the Opal-RT RT20 Panel Session on The Role of Real-Time Simulation in Education. Listen to a recording of the panel session, and also hear perspectives from Quanser, Hydro-Quebec, and RWTH Aachen, by registering for the RT20 conference at the following link .

Tanya Morton
Tanya Morton
最後のアクティビティ: 2020 年 6 月 18 日

Join hundreds of educators online in our new Academic Webinar Series!

The EMEA (Europe, Middle East and Africa) Academic Engineering Team are hosting a series of live online webinars every Tuesday and Wednesday. Get up to speed with online teaching and research with MATLAB and access ready-to-use resources.

Watch the introductory video and register here

Ningamma Musigeri
Ningamma Musigeri
最後のアクティビティ: 2020 年 6 月 18 日

My course and how catch the course

Where is very courses and how to catch the courses

Div Tiwari
Div Tiwari
最後のアクティビティ: 2020 年 8 月 21 日

Moving Lab-based Classes Online

In this article, we discuss how educators can adopt simulation, alternative hardware, and other teaching resources to transition lab-based classes to distance learning: https://medium.com/mathworks/tips-for-moving-your-lab-based-classes-online-1cb53e90ee00.

Do you teach a lab-based class? Please share your thoughts, questions, experience, and feedback on these ideas here. I also welcome you to invite your colleagues to join the discussion here.

Owen Paul
Owen Paul
最後のアクティビティ: 2020 年 5 月 29 日

Student Ambassador Communities Helping Students Learn MATLAB at a Distance

One community within MathWorks that has been helping students continue their learning is MATLAB Student Ambassadors. Despite new challenges with transitioning to distance learning, student ambassadors have done a truly amazing job. In a blog that was published recently, I discuss 3 examples of the great things that our student ambassadors have done to aid distance learning. Click here to read the blog. I hope after reading this blog you share my level of admiration for these students.

Student Ambassador at University of Houston hosting a fun and informative virtual event.

srinivasa rao m
srinivasa rao m
最後のアクティビティ: 2020 年 5 月 13 日

how to do fft simulink simulation

hi how to apply single stream into multiple channels in fft simulink simulation from workspace

Vatsal Modi
Vatsal Modi
最後のアクティビティ: 2020 年 5 月 6 日

Distance Learning with Image Processing

Sir how can we use Image processing in the Distance Learning

Yossi Chait
Yossi Chait
最後のアクティビティ: 2020 年 6 月 22 日

On the transition from physical to visual labs

I wanted to briefly share my experience in transitioning from a hands-on lab course to a virtual lab in MATLAB. Here at UMass Amherst, Mechanical & Industrial Engineering, we have a required undergraduate lab sequence, one during junior year and another during senior year. I teach the 2nd course, MIE 402, with a focus on measurements, data acquisition, system dynamics, and control.
The main idea behind our labs, in addition to the all too important hands-on experience, is to provide the students with a platform where they can validate and understand limitations of theoretical models from experimental data.
While the hands-on aspect was lost, we were able to create virtual experiments that consisted on Simulink models saved as protected files. In our protected models, students were able to assign input variables, decide on simulation parameters (e.g., integration parameters), and have certain outputs saved to the workspace. The key for making this a challenging lab was twofold: (1) Students were not told about the level of modelling detail inside the protected file (e.g., were dry friction or electrical inductance included?) and (2) each student was assigned a different set of model parameters based on their student ID (via a predefined table inside the protected file). The 2nd point was especially impactful as students felt as if they are working on their own experiment.
We developed virtual labs for a tuned mass damper and a DC motor experiments. Feedback from the students showed that they missed the hands-on experience but really liked being able to interact, as many times as needed, with the virtual lab at their time frame of choice, and have the ability to interact with us (grad assistant and myself) then re-run the experiment to test new ideas.
Some future developments that could significantly enhance the educational impact of such virtual labs would be the addition of real-time animation and increased level of modelling (e.g., data acquisition effects, electromagnetics, etc.’). At UMass we presently do not have access to the entire suite of MATLAB tools, something that prevented us from including these ideas in our virtual labs.
This would have not been possible without Andy Bartlett (tremendous Simulink help) and Div Tiwari (quickly getting us access to required tools).

Professor Martin Trauth has shared lots of teaching resources on his MATLAB Recipes for Earth Sciences site. Now with the changes created by COVID, he's shifting his courses to online, including at-home phone-based data collection. Read how he's doing this and find additional resources: Teaching Data Analysis with MATLAB in COVID-19 Times (Trauth, Potsdam)

Jeff Alderson
Jeff Alderson
最後のアクティビティ: 2020 年 4 月 30 日

What information is sent to MATLAB Grader when connected to my LMS?

A common question you may have when integrating MATLAB Grader into your LMS using the LTI standard is what information is being sent to MATLAB Grader from your LMS?

First, please familiarize yourself with the LTI specification on the IMS Global website: http://www.imsglobal.org/specs/ltiv1p1/implementation-guide

Next, take a look at the documentation we provide on LMS integration that is specific to your platform/vendor: https://www.mathworks.com/help/matlabgrader/lms-integration.html

MathWorks does not require personally identifiable information. More specifically, here are the standard LTI fields that we DO NOT want nor collect, as opposed to what fields we DO collect.

We do NOT want your LMS to send us: - user_image - lis_person_name_given - lis_person_name_family - lis_person_name_full - lis_person_contact_email

We DO require from your LMS: - roles

The other LTI fields listed in the specification are not related to personally identifiable information, and may be required for the LTI session to be launched successfully. For further questions about what is contained in the LTI specification, please refer to the specification and implementation guide provided by IMS, or contact the vendor of your LMS.

Even
Even
最後のアクティビティ: 2023 年 7 月 23 日

Problem 44951. Verify Law of Large Numbers

If a large number of fair N-sided dice are rolled, the average of the simulated rolls is likely to be close to the mean of 1,2,...N i.e. the expected value of one die. For example, the expected value of a 6-sided die is 3.5.
Given N, simulate 1e8 N-sided dice rolls by creating a vector of 1e8 uniformly distributed random integers. Return the difference between the mean of this vector and the mean of integers from 1 to N.
function dice_diff = loln(N)
A=randi([1,N],1e8,1)
M=mean(A)
B=1:N
m=mean(B)
dice_diff =abs(M-m);
end
Here is my code, but it can't work out as it needs too long time to creat A.
Amin Zarbakhsh
Amin Zarbakhsh
最後のアクティビティ: 2020 年 4 月 27 日

changing Power spectrum to spectrogram

can anyone advise which Matlab code I can add to the below codes to have Spectrogram Plot?

OptimalValuesx1y1z1 = [dataArray{1:end-1}];
%% Clear temporary variables
clearvars filename delimiter formatSpec fileID dataArray ans;

re=1;
fs=20e3/re;
datatable=OptimalValuesx1y1z1;
datatable=resample(OptimalValuesx1y1z1,1,re);
%datatable=lowpass(OptimalValuesx1y1z1,10,fs);
datatable(:,2)=datatable(:,2).*0.01;

figure
t=1/fs:1/fs:length(datatable)/fs;
plot(t, rms(datatable(:,2:4)*9.81,3));

ylim([0 10])  
xlim([0 10])
%ylim([0 1])
hold on
%plot(t,ones(1,length(datatable(:,2:4)*9.81))*12,'r--')
xlabel('Time [s]')
ylabel('Amplitude [m/s^2]')
legend('axis X','axis Y','axis Z','limit')

out_mean = mean(rms(datatable(:,2:4),3))
std_mean = std(rms(datatable(:,2:4),3))

% %PSD analysis
figure
x=datatable(:,2:4)*9.81;
nbar = 4;
sll = -30;
win = taylorwin(length(x),nbar,sll);
periodogram(x,win,[],fs);
xlim([0 1.624])
legend('axis X','axis Y','axis Z')
Hafsa Asif
Hafsa Asif
最後のアクティビティ: 2020 年 4 月 24 日

how can i download mathlab

plz tell me the web site where i can easily install mathlab.

G Behery
G Behery
最後のアクティビティ: 2020 年 4 月 25 日

The Corona-virus (COVID-19) detection

I want to use the Image fusions and deep neural network to detect the Corona-virus (COVID-19)

Created and tested in the university classroom, the Introduction to MATLAB zyBook includes automated assessment using MATLAB Grader. Learn how to create custom MATLAB assignments using zyLabs and provide feedback.

Join this webinar running April 21st and 23rd

Here is a great video from Gartner in response to COVID-19 and trends they are seeing for schools transitioning to Distance Learning. We hope this is helpful! See here: Gartner Research