updated instructions and minor fixes

project.Rmd

@@ -51,8 +51,11 @@ according to all the parts of Bayesian workflow studied along the course.
 - Presentation slots 8th Dec, 2023, are meant only for those who are leaving the country before 11th Dec.
 -->
 - Work on the project. TA session queue is also for project questions.
-- Project report deadline `r params$project_dl`. Submit in FeedbackFruits (the link will be added to MyCourses).
-- Project report peer grading `r substr(params$project_dl, 1, 2)` - `r params$project_feedback_dl` (so that you'll get feedback for the report before the presentations).
+- Project report deadline `r params$project_dl`.
+- Due to syncing failing from MyCourses to FeedbackFruits we are not able to use proper group submissions. Follow the instructions below carefully.
+- The student who registered the group submits the report pdf in FeedbackFruits (the link is available in MyCourses). If the student who registered the group left the group, someone else submits the report and sends a message to David Kohns.
+- Project report peer grading `r substr(params$project_dl, 1, 2)` - `r params$project_feedback_dl` (so that you'll get feedback for the report before the presentations). The group makes the reviewing of other reports together using the account of the student who registered the group.
+- [FeedbackFruits rubric for the project report](project_rubric.html)
 - Project presentations `r params$project_presentations`.
 
 ## Groups
@@ -138,7 +141,7 @@ The report **should include**
   1. Conclusion what was learned from the data analysis.
   1. Self-reflection of what the group learned while making the project.
 
-You can check also the [FeedbackFruits rubric for the project report](project_work/rubric.pdf).
+You can check also the [FeedbackFruits rubric for the project report](project_rubric.html).
 
 For guidance on how many digits to report, see [Digits notebook](https://users.aalto.fi/~ave/casestudies/Digits/digits.html).
 

project_rubric.Rmd

@@ -17,7 +17,7 @@ For the questions having answer scale from 1 to 5, the explanations are for scor
 - 1 = There is no clear introduction;
 - 2 = Description is only provided for data/analysis but not both;
 - 4 = A brief description is given for both;
-- 5 = Description is relevant, detailed, and provides convincing motivation for t
+- 5 = Description is relevant, detailed, and provides convincing motivation for the project
 
 #### Q3: What are your suggestions on how to improve the introduction?