nbgrader to automate assessment and grading with JupyterHub on Azure Data Science VM

Jupyter notebook on Microsoft Data Science Virtual Machine The Anaconda distribution on the Microsoft Data Science VM comes with a Jupyter notebook, an environment to share code and analysis. The Jupyter notebook is accessed through JupyterHub. You sign in using your local Linux user name and password. The Jupyter notebook server has been pre-configured with…


Microsoft Azure Stack Development Kit

Last month I shared some details around Azure Stack at https://blogs.msdn.microsoft.com/uk_faculty_connection/2017/06/15/using-azure-stack-to-teach-devops-and-it-skills/  Azure Stack in teaching and Learning Follow the journey of academics and students at ROC van Amsterdam in the Netherlands learning Azure with Azure Stack https://azurestackblog.wordpress.com/ where the team recently had a skype call with Azure Stack Team as part of the General Availability…


Running Matlab on Azure – Provision a MATLAB Distributed Computing Server using Azure VMs

Run your MATLAB compute-intensive parallel workloads by creating one or more MATLAB Distributed Computing Server clusters using Azure Virtual Machines. Pre-Requisites Before starting you will need the following: An Azure account and subscription are required to create cluster virtual machines and Azure Storage accounts. Azure PowerShell is a set of modules that provide cmdlets to…


Using Azure Stack to teach DevOps and IT skills

What to learn Azure but your institution cannot scale to provide Azure for all students? have you considered teaching with Azure Stack! Azure Stack is a stack of technologies Microsoft is designing for customers and partners to run in their own datacentres. Azure Stack includes “experiences” and programming interfaces that Microsoft offers via its own…


How to build your first Xamarin app

Guest Blog by Carmen Livia Ibanescu,  Microsoft Student Partner at University College London A little bit about myself My name is Carmen-Livia Ibanescu. I am currently a Computer Science Student at UCL and on the fall I will start my second year here. I am from Romania and I have been programming since high-school. Choosing…


Guide to the Microsoft Azure Notebooks for Students

This is a guest post by Francine Tan, Microsoft Student Partner at Imperial College London Hi I’m Francine, a Penultimate year Electrical and Electronic Engineering student and Microsoft Student Partner at Imperial College London check out my linkedin profile at https://www.linkedin.com/in/francine-tran-b4b532102/ Introduction Microsoft Azure Notebooks is a free service that provides Jupyter Notebooks along with…


Learning Haskell and using VSCode and Haskelly

This is a guest post by Nicholas Li, Undergraduate MEng student at Imperial College London and Microsoft Student Partner. Introduction I am Nick, and I grew up and studied in Hong Kong. I am currently studying in Computing at Imperial as a first year. Aside from Computing, my passions include Basketball, Badminton, as well as…


Announcing the Keynote Speakers – Microsoft Academic Conference for Higher Education, June 19-20th

Learn the latest trends in technology and education directly from Microsoft experts! Margo Day Vice President, U.S. Education, Microsoft ”Margo Day is vice president of U.S. Education for Microsoft. She is responsible for the U.S. Education strategy and sales to K-12 and higher education customers across the U.S. Through partnerships, programs and technology, Microsoft plays…


Azure Craft A hack for kids and parents to learn AI Programming

Guest blog by Richard Conway, ElastaCloud, Microsoft MVP Regional Director, Azure UK User Group AzureCraft was conceived in 2016 by myself, Richard Conway, the co-founder of the UK Azure Users Group, Andy Cross and Allan Mitchell, one of the founders of SQLBITS, the largest SQL conference in Europe. Our idea stemmed from the fact that…


Neural networks and deep learning with Microsoft Azure GPU

Guest blog by Yannis Assael from Oxford University  The rise of neural networks and deep learning is correlated with increased computational power introduced by general purpose GPUs. The reason is that the optimisation problems being solved to train a complex statistical model, are demanding and the computational resources available are crucial to the final solution….