Update course intro for 2023 course at UF

content/lessons/CourseIntroduction/instructor_notes.md

@@ -19,29 +19,31 @@ editable: true
 	* 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
 
@@ -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?