June 2016 release. Note: This repo is a work-in-progress and intended for review and collaboration with Microsoft developer advocates and the academic community. Please do not use these resources for direct-to-student interactions at this time. 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 four groups: Instructor-led, Problem Sets, 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, AzureU, Visual Studio Dev Essentials, or Azure for Research.
Your feedback is appreciated - please fork this repo and contribute!
| Instructor-led content | [Link](https://github.com/MSFTImagine/computerscience/tree/master/Instructor-Led) | Learning modules to complement existing course instruction. Includes presentations, speaker notes, and hands-on labs. |
| Problem Sets | [Link](https://github.com/MSFTImagine/computerscience/tree/master/Problem%20Sets) | Library of computer science problem sets using Microsoft Azure for use in courses. |
| 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. |