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Update course intro for 2023 course at UF #42

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Aug 24, 2023
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Update course intro for 2023 course at UF #42

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28 changes: 8 additions & 20 deletions content/lessons/CourseIntroduction/instructor_notes.md
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* Need to learn how to work with dynamic data
* Learn from other fields dealing with similar problems
* Students
* What do you hope to get out of the class
* Introduce yourself
* Tell us what do you hope to get out of the class

## How the course will run

* Mix of paper discussion & R tutorials
* Discussion
* Read paper in advance
* Questions to think about provided to help guide thinking while reading
* Big group, so raise hands in Zoom
* Big group,
* R tutorials
* Introductions to methods for working with dynamic data and forecasting
* I do, we do, you do
* We will demonstrate a concept, have you follow along on your computers,
and then have you do something very similar in class
* There will then be an assignment to do something very similar on your own
* 2 credit course so other than reading and installing packages for R tutorials most work will be in class
* Grades
* 50% participation
* Participating in paper discussions in class
* Alternatively you can submit written answers to the discussion questions
* 50% R tutorials
* Follow along with R tutorials
* Will include some sections for you to complete on your own
* Turn in tutorial to Canvas
* Attending class is all that is required for R tutorials
* If you can't make class follow along with R tutorial notes
* Will include some sections for you to complete on your own
* Turn in the tutorial to Canvas

## Introduction to the website

Expand All @@ -51,20 +53,6 @@ editable: true

* Intro to Canvas

## Special notes for 2020

* This is going to be a hard semester for both learning & teaching
* We're all figuring out how to do this effectively online
* Most of us have more responsibilities & stress than usual
* We don't expect any of you to be operating at your full capacity

* We're trying to ensure that the course is manageable in this context
* Minimizing time committments - most weeks involve reading one paper and folowing along w/a 1 hour R Tutorial
* Not doing additional assignments beyond completing R tutorials
* Supporting asynchronous participation. The course is synchronous, but we're very sympathetic to the challenges that can pose since we currently have a kid going to school from home.
* If you can't participate asynchronously some weeks, or at all, you can read the papers and turn in written responses to the discussion questions instead of attendin class discussions.
* This group discussion is a valuable part of class, so it won't be as good of an experience, but that's OK.

## Questions about the course

* Any questions about how the course is going to work?
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