diff --git a/README.md b/README.md
index 4f8334b95..3f062468c 100644
--- a/README.md
+++ b/README.md
@@ -244,26 +244,33 @@ Recommended prereading: Chapters 1-2 (linear algebra) and chapter 3 (statistics)
 ###  Week 35 August 30-September 3
 - Lab Wednesday: Work on exercises 1-3 for week 35
 - Thursday: Review of  ordinary Least Squares with applications and discussion of Ridge Regression and Singular Value Decomposition
-- Video of lecture Thursday at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember2.mp4?vrtx=view-as-webpage".
+- Video of lecture Thursday at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember2.mp4?vrtx=view-as-webpage.
 - Friday: Analysis of Ridge and Lasso Regression and links with Singular Value Decomposition
-- Video of lecture Friday at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember3.mp4?vrtx=view-as-webpage"
-- Reading recommendations: See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html. HTF chapter 3. GBC chapters 1 and and sections 3.1-3.11 and 5.1 and CMB sections 1.1 and 3.1
+- Video of lecture Friday at https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember3.mp4?vrtx=view-as-webpage
+- Reading recommendations: 
+  - See lecture notes for week 35 at https://compphysics.github.io/MachineLearning/doc/web/course.html. 
+  - HTF chapter 3. 
+  - GBC chapters 1 and and sections 3.1-3.11 and 5.1
+  - CMB sections 1.1 and 3.1
 
 
 ###  Week 36 September 6-10
 - Lab Wednesday:  Exercises 1 and 2 from week 36
 - Lecture Thursday: Summary from last week on SVD, Statistics, probability theory and linear regression
-- Video of Lecture https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember9.mp4?vrtx=view-as-webpage".
+- Video of Lecture https://www.uio.no/studier/emner/matnat/fys/FYS-STK3155/h21/forelesningsvideoer/LectureSeptember9.mp4?vrtx=view-as-webpage.
 - Friday: Linear Regression and links with Statistics, Resampling methods and presentation of first project. 
-- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember10.mp4?vrtx=view-as-webpage"
+- Video of Lecture at https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h21/forelesningsvideoer/LectureSeptember10.mp4?vrtx=view-as-webpage
 
-- Recommended Reading: Lectures on Regression, Bishop 1.1, 1.2, 2.1, 2.2, 2.3 and 3.1, Hastie et al chapter 3
+- Recommended Reading: 
+  - Lectures on Regression
+  - Bishop 1.1, 1.2, 2.1, 2.2, 2.3 and 3.1
+  - Hastie et al chapter 3
 
 ###  Week 37 September 13-17
 - Lab Wednesday: 
 - Lecture Thursday: Resampling methods, cross-validation and Bootstrap
 - Lecture Friday: More on Resampling methods and summary of linear regression
-- Reading recommendations: 
+
 - Recommended Reading:
   - Lectures on Resampling methods for week 37 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
   - Bishop 1.3 (cross-validation) and 3.2 (bias-variance tradeoff)