diff --git a/doc/Projects/2019/hw2/html/._hw2-bs000.html b/doc/Projects/2019/hw2/html/._hw2-bs000.html
index 8cd53ae0f..aa7234d27 100644
--- a/doc/Projects/2019/hw2/html/._hw2-bs000.html
+++ b/doc/Projects/2019/hw2/html/._hw2-bs000.html
@@ -115,7 +115,7 @@ MathJax.Hub.Config({
 <center><b>Department of Physics, University of Oslo, Norway</b></center>
 <br>
 <p>
-<center><h4>Aug 28, 2019</h4></center> <!-- date -->
+<center><h4>Sep 2, 2019</h4></center> <!-- date -->
 <br>
 <p>
 </div> <!-- end jumbotron -->
@@ -170,6 +170,9 @@ Discuss these quantities as functions of the variable \( \lambda \) in the Ridge
 
 <h2 id="___sec1" class="anchor">Exercise 5  </h2>
 
+<p>
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition.
+
 <p>
 Using the singular value decomposition, show that the variance of the direction vector 
 \( \hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1 \)   is equal to (equation (3.49) of Hastie <em>et al.</em>)
diff --git a/doc/Projects/2019/hw2/html/hw2-bs.html b/doc/Projects/2019/hw2/html/hw2-bs.html
index 8cd53ae0f..aa7234d27 100644
--- a/doc/Projects/2019/hw2/html/hw2-bs.html
+++ b/doc/Projects/2019/hw2/html/hw2-bs.html
@@ -115,7 +115,7 @@ MathJax.Hub.Config({
 <center><b>Department of Physics, University of Oslo, Norway</b></center>
 <br>
 <p>
-<center><h4>Aug 28, 2019</h4></center> <!-- date -->
+<center><h4>Sep 2, 2019</h4></center> <!-- date -->
 <br>
 <p>
 </div> <!-- end jumbotron -->
@@ -170,6 +170,9 @@ Discuss these quantities as functions of the variable \( \lambda \) in the Ridge
 
 <h2 id="___sec1" class="anchor">Exercise 5  </h2>
 
+<p>
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition.
+
 <p>
 Using the singular value decomposition, show that the variance of the direction vector 
 \( \hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1 \)   is equal to (equation (3.49) of Hastie <em>et al.</em>)
diff --git a/doc/Projects/2019/hw2/html/hw2.html b/doc/Projects/2019/hw2/html/hw2.html
index 4e4a6dfda..3ba5761ce 100644
--- a/doc/Projects/2019/hw2/html/hw2.html
+++ b/doc/Projects/2019/hw2/html/hw2.html
@@ -82,7 +82,7 @@ MathJax.Hub.Config({
 <center><b>Department of Physics, University of Oslo, Norway</b></center>
 <br>
 <p>
-<center><h4>Aug 28, 2019</h4></center> <!-- date -->
+<center><h4>Sep 2, 2019</h4></center> <!-- date -->
 <br>
 
 <h2 id="___sec0">Exercise 4  </h2>
@@ -135,6 +135,9 @@ Discuss these quantities as functions of the variable \( \lambda \) in the Ridge
 
 <h2 id="___sec1">Exercise 5  </h2>
 
+<p>
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition.
+
 <p>
 Using the singular value decomposition, show that the variance of the direction vector 
 \( \hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1 \)   is equal to (equation (3.49) of Hastie <em>et al.</em>)
diff --git a/doc/Projects/2019/hw2/ipynb/ipynb-hw2-src.tar.gz b/doc/Projects/2019/hw2/ipynb/ipynb-hw2-src.tar.gz
index 8b0f16f77..b4095c320 100644
Binary files a/doc/Projects/2019/hw2/ipynb/ipynb-hw2-src.tar.gz and b/doc/Projects/2019/hw2/ipynb/ipynb-hw2-src.tar.gz differ
diff --git a/doc/Projects/2019/hw2/pdf/hw2.p.tex b/doc/Projects/2019/hw2/pdf/hw2.p.tex
index 5ff4fd87e..39ddf5ad0 100644
--- a/doc/Projects/2019/hw2/pdf/hw2.p.tex
+++ b/doc/Projects/2019/hw2/pdf/hw2.p.tex
@@ -155,7 +155,7 @@ Homework 2
 
 % --- begin date ---
 \begin{center}
-Aug 28, 2019
+Sep 2, 2019
 \end{center}
 % --- end date ---
 
@@ -210,6 +210,8 @@ Discuss these quantities as functions of the variable $\lambda$ in the Ridge and
 
 \subsection{Exercise 5}
 
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition. 
+
 Using the singular value decomposition, show that the variance of the direction vector 
 $\hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1$   is equal to (equation (3.49) of Hastie \emph{et al.})
 \[
diff --git a/doc/Projects/2019/hw2/pdf/hw2.pdf b/doc/Projects/2019/hw2/pdf/hw2.pdf
index 1b4487db9..5cbedfcc6 100644
Binary files a/doc/Projects/2019/hw2/pdf/hw2.pdf and b/doc/Projects/2019/hw2/pdf/hw2.pdf differ
diff --git a/doc/Projects/2019/hw2/pdf/hw2.tex b/doc/Projects/2019/hw2/pdf/hw2.tex
index 1020ef780..fcdc79a5b 100644
--- a/doc/Projects/2019/hw2/pdf/hw2.tex
+++ b/doc/Projects/2019/hw2/pdf/hw2.tex
@@ -125,7 +125,7 @@ Homework 2
 
 % --- begin date ---
 \begin{center}
-Aug 28, 2019
+Sep 2, 2019
 \end{center}
 % --- end date ---
 
@@ -180,6 +180,8 @@ Discuss these quantities as functions of the variable $\lambda$ in the Ridge and
 
 \subsection*{Exercise 5}
 
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition. 
+
 Using the singular value decomposition, show that the variance of the direction vector 
 $\hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1$   is equal to (equation (3.49) of Hastie \emph{et al.})
 \[
diff --git a/doc/Projects/2019/hw2/pdf/hw2.tex~ b/doc/Projects/2019/hw2/pdf/hw2.tex~
index 67d2d70be..0acc70351 100644
--- a/doc/Projects/2019/hw2/pdf/hw2.tex~
+++ b/doc/Projects/2019/hw2/pdf/hw2.tex~
@@ -125,7 +125,7 @@ Homework 2
 
 % --- begin date ---
 \begin{center}
-Aug 28, 2019
+Sep 2, 2019
 \end{center}
 % --- end date ---
 
@@ -180,6 +180,8 @@ Discuss these quantities as functions of the variable $\lambda$ in the Ridge and
 
 \subsection*{Exercise 5}
 
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition. 
+
 Using the singular value decomposition, show that the variance of the direction vector 
 $\hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1$   is equal to (equation (3.49) of Hastie \emph{et al.})
 \[
diff --git a/doc/src/Projects/2019/Exercises/hw2.do.txt b/doc/src/Projects/2019/Exercises/hw2.do.txt
index 4858d6aed..ef379a463 100644
--- a/doc/src/Projects/2019/Exercises/hw2.do.txt
+++ b/doc/src/Projects/2019/Exercises/hw2.do.txt
@@ -53,6 +53,8 @@ Discuss these quantities as functions of the variable $\lambda$ in the Ridge and
 
 ===== Exercise 5  =====
 
+The theory behind this exercise will be covered during the lectures of week 36. It requires reading chapter three of Hastie et al, in particular the derivations preceeding equation (3.49) as the well as the material in the Regression slides the singular value decomposition. 
+
 Using the singular value decomposition, show that the variance of the direction vector 
 $\hat{z}_i=\hat{X}\hat{v}_i=\hat{u}_1d_1$   is equal to (equation (3.49) of Hastie *et al.*)
 !bt