Update README.md

README.md

@@ -117,9 +117,9 @@ possible.
 1. The sessions on Tuesdays and Wednesdays last four hours for each group (four in total) and will include lectures in a flipped mode (promoting active learning) and work on exercices and projects.  The sessions will begin with lectures and questions and answers about the material to be covered every week.
 2. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as possible for one of the groups. Max capacity per group is 30-40 participants.
 
-3. On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm.
+3. On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm. These lectures are recorded.
 4. Three projects which are graded and count 1/3 each of the final grade;
-5. A selected number of weekly assignments;
+5. A selected number of weekly assignments. The weekly assignments can be handed in and for all assignments you can get an extra score of 20 points to the final grade.
 6. The course is part of the CS Master of Science program, but is open to other bachelor and Master of Science students at the University of Oslo;
 7. The course is offered as a so-called _cloned_ course,  FYS-STK4155 at the Master of Science level and FYS-STK3155 as a senior undergraduate)course;
 8. Videos of teaching material are available via the links at https://compphysics.github.io/MachineLearning/doc/web/course.html;
@@ -138,6 +138,18 @@ The final number of points is based on the average of all projects (including ev
  * 40-45 points: E
  * 0-39 points: F-failed
 
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+### In summary
+
+| Activity | Percentage of total score |
+|------|-----|
+| First project, _due October 9_ | 33.3% (1/3) |
+| Second  project, _due November 6_ | 33.3% (1.3) |
+| Third project, _due December 11_ |  33.3% (1/3)  |
+| Extra Credit (not mandatory),  weekly exercise assignments, 10 in total (due Monday May 1)| 20% |
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 ## Required Technologies
 
 Course participants are expected to have their own laptops/PCs. We use _Git_ as version control software and the usage of providers like _GitHub_, _GitLab_ or similar are strongly recommended. If you are not familiar with Git as version control software, the following video may be of interest, see https://www.youtube.com/watch?v=RGOj5yH7evk&ab_channel=freeCodeCamp.org
@@ -262,3 +274,5 @@ _General Machine Learning Books_:
 
  
 
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