UIS Vendor Online Training Recommendations 2019-2020
Courses per page: 10 | 25 | 50 | 100
This is an the first of four online AbilityNet sessions looking at the principles of digital accessibility and its impact on people with disability.
This entry-level session introduces the principles of digital accessibility and its impact on people with disability, with particular reference to higher education settings.
It is ideal for anyone creating, managing or procuring digital content or systems, including digital managers, web developers, learning technologists, student services staff, academics and others. It will also be useful to staff who support disabled students and technical staff involved with evaluating and reporting accessibility compliance.
The course can be accessed via the following link (Please note that Raven Login is required to access this material)
Self-taught
Booking not required
This is an the second of four online AbilityNet sessions looking at digital accessibility.
The accessibility statement is an opportunity to explain to your website users, staff and students how you support their needs, as well as communicating how your website meets accessibility standards.
This session looks in detail at the requirements for universities to provide an accessibility statement under the new Public Sector Web Accessibility Regulations. As well as being a legal requirement the accessibility statement is an opportunity to explain to your website users, staff and students how you support their needs, as well as communicating how your website meets accessibility standards.
This entry-level session introduces the principles of digital accessibility and its impact on people with disability, with particular reference to higher education settings. It is ideal for anyone creating, managing or procuring digital content or systems, including digital managers, web developers, learning technologists, student services staff, academics and others. It will also be useful to staff who support disabled students and technical staff involved with evaluating and reporting accessibility compliance.
The course can be accessed via the following link (Please note that Raven Login is required to access this material)
Self-taught
Booking not required
This is an the third of four online AbilityNet sessions looking at digital accessibility.
It looks at how to undertake quick accessibility checks to test whether your website(s) comply with accessibility principles. Aimed at anyone creating, managing or procuring digital content or systems in Higher Education.
Learn how to undertake quick accessibility checks to test whether your website(s) comply with accessibility principles. Being able to undertake these checks can help you with developing an accessibility strategy, improve procurement decisions and create an accessibility statement.
This entry-level session is aimed at anyone creating, managing or procuring digital content or systems in Higher Education. It will also be of value as an introductory session for developers and eLearning content creators looking to develop accessibility skills.
The course can be accessed via the following link (Please note that Raven Login is required to access this material)
Self-taught
Booking not required
This is an the fourth of four online AbilityNet sessions looking at digital accessibility, specifically how to understand the results of accessibility evaluations and testing results.
The new Web Accessibility regulations require Universities to conduct audits and testing across all their digital estates, form websites to learning environments. These tests can be carried out by external contractors or your own in-house teams (see Workshop 3 for how to do this yourself)
Although built around common standards such as WCAG2.1, many people find accessibility test results and audit reports difficult to understand. Automatically generated reports or expert audits can produce a list of issues that need prioritising. Organisations must also decide how these accessibility barriers are communicated through their accessibility statement and how they can remediate them in the future.
This session is aimed at anyone creating, managing or procuring digital content or systems. It will also be of value as an introductory session for developers and eLearning content creators looking to develop accessibility skills. While not compulsory, it is strongly recommended that attendees attend the session “Introduction to accessibility testing” if they have no prior knowledge of accessibility tests.
The course can be accessed via the following link (Please note that Raven Login is required to access this material)
The fundamental-level course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.
This is a free course, register and sign in online
More information can be found online
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.
Self-taught
Booking not required
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.
Self-taught
Booking not required
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.
Self-taught
Booking not required
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.