Merge pull request #74 from sean-morris/main

Updated with CodeSpaces and Calendar

cc-adoption/intro.md

@@ -38,14 +38,16 @@ You can accept the invitations by clicking each of these links:
 - Solutions Repository: [materials-sp22-private](https://github.com/data-8/materials-sp22-private)
 - Automatic Grading System(Otter Service Standalone): [otter-service-stdalone](https://github.com/orgs/otter-service-stdalone)
 
-**Step 5:** Canvas Shell
+**Step 5:** Canvas Shell and Course Website
 
 Here is a [screen recording](https://drive.google.com/file/d/1rBG97FUwMdV3QQas7znuH8pud-KC8yPM/view?usp=drive_link) of what you need to do to configure the Canvas shell we have set up for you.
 
 You can download the Canvas template [here](https://drive.google.com/file/d/1u1OUAPWy3UachL-82qJgABABA--RIHj5/view?usp=sharing)
 
 We can help you with this process as well.
 
+This [week-to-week layout](https://www.data8.org/materials-sp22/demo.html) mirrors the Canvas Course layout as well. It is a good resource to get an overview of the course as well explore alternative platforms to render Jupyter Notebooks.
+
 **Step 6:** The Student Workflow
 
 [Screen Recording](https://drive.google.com/file/d/1flQlOZ6ViM0S7S0k0-ZLFZsFNY5ZXMON/view?usp=drive_link)

intro.md

@@ -22,6 +22,7 @@ There are many kinds of content associated with Data 8, released under two diffe
 - [**The Data 8 textbook**](textbook.md) is the textbook used by Data 8, with material that complements each topic in the class. It is licensed [CC-BY-ND-NC](https://creativecommons.org/licenses/by-nc-nd/2.0/), you are welcome to use the textbook at [inferentialthinking.com](https://inferentialthinking.com), but you may not modify or distribute it yourself without permission from the textbook authors.
 - [**Data 8 course materials**](https://github.com/data-8/materials-sp22) includes notebooks, exercises, and other course materials. It is licensed [CC-BY-NC](https://creativecommons.org/licenses/by-nc/2.0/), and you are free to modify and distribute as you wish.  
 - **Private course materials**, including exams and answers. These are kept private in order to protect the integrity of the Data 8 courses at Berkeley and being run elsewhere. If you'd like access to these materials, please [fill out this Google form](https://forms.gle/iKLcryjZXit5913k7).
+- **Course Calendar and Demonstation Platforms** We have an [example course calendar](https://www.data8.org/materials-sp22/demo.html) laying out the course week-to-week with appropriate notebooks linked to various rendering platforms.
 
 ## Technology Guide
 

notebooks-platforms/intro.md

@@ -2,6 +2,11 @@
 
 The following are the notebooks used in Data 8 but created for different platforms in the case you are not using a JupyterHub instance. The first line contains a normal set of notebooks with all the data files in the distribution. The second set, marked "-no-footprint", is the exact same notebooks but the data files used in the notebooks are loaded via a URL instead of being stored with the notebooks themselves.
 
+**CodeSpaces:** 
+[CodeSpaces](https://github.com/features/codespaces/) is a GitHub programming environment that can be used for Jupyter Notebook rendering.  We have links set up to open in CodeSpace on the demonstration page of the materials-sp22 repository.
+- [materials-sp22 Demo Page](https://www.data8.org/materials-sp22/demo.html)
+
+
 **Colab:** 
 [Colab](https://colab.research.google.com/) is the Google-created Jupyter Notebook rendering platform. In order to use Otter Grader with Colab, you need to have the student mount their Google Drive; these notebooks mount the Google Drive for the student.
 - [materials-sp22-colab](https://github.com/data-8/materials-sp22-colab)