diff --git a/doc/src/week36/week36.do.txt b/doc/src/week36/week36.do.txt
index 0f1950707..39af66146 100644
--- a/doc/src/week36/week36.do.txt
+++ b/doc/src/week36/week36.do.txt
@@ -6,19 +6,19 @@ DATE: September 1-5, 2025
 !split
 ===== Plans for week 36 =====
 
-* Material for the lecture on Monday September 2
-  o Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis
-  o Derivation of Gradient descent and discussion of implementations for
+_Material for the lecture on Monday September 1_
+o Linear Regression, ordinary least squares (OLS), Ridge and Lasso and mathematical analysis
+o Derivation of Gradient descent and discussion of implementations for
 #  * "Video of lecture":"https://youtu.be/oHjqjUB36KE"  
 #  * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
-* Material for the active learning sessions on Tuesday and Wednesday (see at the end of this slides)
-  * Technicalities concerning Ridge and Lasso linear regression.
-  * Presentation and discussion of the first project
+_Material for the lab sessions on Tuesday and Wednesday (see at the end of these slides)_
+o Technicalities concerning Ridge and Lasso linear regression.
+o Presentation and discussion of the first project
 # * "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
 
-* Reading suggestion:
-  o Goodfellow et al, Deep Learning, introduction to gradient descent, see chapter 4.3 at https://www.deeplearningbook.org/contents/numerical.html
-  o Rashcka et al, pages 37-44 and pages 278-283 with focus on linear regression.
+_Reading suggestion:_
+o Goodfellow et al, Deep Learning, introduction to gradient descent, see chapter 4.3 at https://www.deeplearningbook.org/contents/numerical.html
+o Rashcka et al, pages 37-44 and pages 278-283 with focus on linear regression.
 
 !split
 ===== Material for lecture Monday September 2 =====