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A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

A recommended LinkedIn Learning course, provided by the University of Cambridge's subscription to LinkedIn Learning.

The course can be accessed here.

An online workshop on how to develop your first MATLAB code.

In this session, you will be introduced to the MATLAB environment and programming language. We will discuss the basic operations and core concepts that form the building blocks of any scientific programme.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Learn the theory and practice of building deep neural networks with real-life image and sequence data.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Create custom visualizations and automate your data analysis tasks.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Learn MATLAB for financial data analysis and modeling.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course provides a comprehensive introduction to common features and workflows in MATLAB.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Get started quickly with basic descriptive statistics and data fitting.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Get started quickly with an introduction to symbolic math.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Explore data and build predictive models.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Get started quickly using deep learning methods to perform image recognition.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Learn the basics of practical machine learning methods for classification problems.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course is an introductory tutorial on commonly used features and workflows.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

Learn the basics of creating, editing, and simulating state machines in Stateflow.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Improve the robustness, flexibility, and efficiency of your MATLAB code.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

MathWorks are running a series of regular live webinars, tailored to Professors, PhD students & Post-Docs.

Each Wednesday you will discover a technical topic where you can learn about the latest MATLAB capabilities for your research applications.

To register for the sessions click here

These technical sessions will be followed up on Tuesdays with a session covering online teaching, including ready-to-use resources. You will explore how to use MATLAB to increase student engagement in your course.

his is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This course is part of a suite of MathWorks online courses available to the Univeristy of Cambridge.

This is an introductory tutorial on commonly used features and workflows.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use root finding methods to solve nonlinear equations.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

This course is part of a suite of MathWorks online courses available to the University of Cambridge.

Use MATLAB ODE solvers to numerically solve ordinary differential equations.

If you do not already have an account, you will be asked to create one for the MathWorks Academy to access these courses, please use your @cam.ac.uk email address.

This course can be accessed here.

Using the Parallel Computing capabilities in MATLAB allows you to take advantage of additional hardware resources that may be available either locally on your desktop or on clusters and clouds. By using more hardware, you can reduce the cycle time for your workflow and solve computationally- and data-intensive problems faster.

In this seminar, we will discuss a range of workflows available to scale MATLAB applications with minimal changes to your MATLAB code and without needing to learn any shell or scheduler programming syntax.

This course is part of the Scientific Computing series.

This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with programming experience, even if it is just in shell scripting or Matlab-like programs. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others.

As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming.