diff --git a/doc/src/week36/week36.do.txt b/doc/src/week36/week36.do.txt
index 99543521b..143445acd 100644
--- a/doc/src/week36/week36.do.txt
+++ b/doc/src/week36/week36.do.txt
@@ -1,6 +1,6 @@
 TITLE: Week 36: Linear Regression and Statistical interpretations
-AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
-DATE: September 2-6, 2024
+AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo, Norway
+DATE: September 1-5, 2025
 
 
 !split
@@ -11,13 +11,13 @@ DATE: September 2-6, 2024
   * Linear Regression, ordinary least squares, Ridge and Lasso  and links with Statistics
   * Recommended Reading: Goodfellow et al chapter 3  (till 3.11) on probability theory, see URL:"https://www.deeplearningbook.org/"
   * Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6 contain many useful hints which will also be relevant for the various projects as well.
-  * "Video of lecture":"https://youtu.be/oHjqjUB36KE"  
-  * "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2024/NotesSeptember2.pdf"
+#  * "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
   * Summary from last week on discussion of SVD, Ridge and Lasso linear regression.
   * Raschka et al, chapter 4 pages 105-134 and chapter 6 pages 171-185. Chapter 4 and 6, as for the lecture discussion
   * Presentation and discussion of first project
-  * "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
+# * "Video of lab session":"https://youtu.be/ZrIdZdZtHe0"
 
 !split
 ===== Material for lecture Monday September 2 =====