August 2016 release. The content and code on this repo is in Preview. It's intended for review and collaboration with Microsoft developer advocates and the academic community under MIT license. Please check back regularly for updated versions. Source: https://github.com/MSFTImagine/computerscience.
This repo provides technical resources for faculty, students, and Microsoft developer advocates for use in computer science learning. The modules cover common cross-platform scenarios including mobile app dev, web dev, internet of things, data science, machine learning, and devops. Content delivery is divided into three groups: Complimentary Course Content, Tech Talks, and Workshops.
Most hands-on learning focuses on how to deploy cross-platform technologies on Microsoft Azure although most of the concepts can be applied across many cloud platform solutions. Academic users can get free Azure from various programs like Free Azure Trial, Microsoft Imagine, Azure Pass, Visual Studio Dev Essentials, or Azure for Research.
Your feedback is appreciated - please fork this repo and contribute!
If you want to report any issues we need to fix. Please log an issue. Include the content section (Tech Talk, Workshop, Course Content), module number and title, along with any error messages and screenshots.
| Complimentary Course Content | [Link](https://github.com/MSFTImagine/computerscience/tree/master/Complimentary%20Course%20Content) | Learning modules to complement existing course instruction. Includes presentations, speaker notes, and hands-on labs. |
| Tech Talks | [Link](https://github.com/MSFTImagine/computerscience/tree/master/Tech%20Talks) | Presentations on emerging or innovative tech topics with speakers notes and demos. |
| Workshop | [Link](https://github.com/MSFTImagine/computerscience/tree/master/Workshop) | 1-day hands-on lab using cross-platform technologies with Microsoft Azure. |
| Technical | [Link](https://github.com/Microsoft/TechnicalCommunityContent) | Hands on content from DX Community team, overlaps with workshop content here, but has some different modules. |
| Technical | [Link](http://aka.ms/NUSworkshop) | Bots and LUIS workshop from TE in Singapore. |
| Technical | [Link](https://github.com/Microsoft/CNTK/wiki/Setup-Windows-Binary-Script) | Resources to set up Cognitive Toolkit using notebooks from product team. After installing tutorials will be in c:\repos\bindings\python\tutorials. |
| Case Studies | [Link](https://microsoft.github.io/techcasestudies/) | Companies using Azure stories collected by the Ascend team. |
| Case Studies | [Link](https://www.microsoft.com/en-us/research/academic-program/microsoft-azure-for-research/) | Faculty using Azure for Research stories collected by Microsoft Research. Submit your own Azure research stories here too! |
| Data Sets | [Link](http://aka.ms/datascience) | Data sets shared by Microsoft Research for academic use. |
| Data Sets | [Link](https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-use-sample-datasets) | Data sets shared by Azure Machine Learning team to help explore machine learning. |