diff --git a/projects/disclaimer.tex b/projects/disclaimer.tex
index e328d05..4d63ac7 100644
--- a/projects/disclaimer.tex
+++ b/projects/disclaimer.tex
@@ -8,28 +8,27 @@
       \vspace{1ex}
 
       The {\bf code} and the {\bf presentation} should be uploaded to
-      ILIAS at latest on Thursday, February XXXXth, 13:00h.  The
-      presentations start on XXXXXXX. Please hand in your
-      presentation as a pdf file. Bundle everything (the pdf and the
-      code) into a {\em single} zip-file.
+      ILIAS at latest on Wednesday, February 8th, 23:59h. We will
+      store all presentations on one computer to allow fast
+      transitions between talks. The presentations start on
+      Thursday 9:00h. Please hand in your presentation as a pdf file. Bundle
+      everything (the pdf, the code, and the data) into a {\em
+      single} zip-file.
 
       \vspace{1ex}
 
       The {\bf code} should be exectuable without any further
-      adjustments from our side. This means that you need to include all
-      additional functions you wrote and the data into the
-      zip-file. A single {\em main} script should produce the same
-      {\em figures} that you use in your slides. The figures should
-      follow the guidelines for proper plotting as discussed in the
-      course. The code should be properly commented
-      and comprehensible by a third persons (use proper and consistent
-      variable and function names).
-
-      \vspace{1ex} \textbf{Please write your name and matriculation
-      number as a comment at the top of a script called
-      \texttt{main.m}.}  The \texttt{main.m} script then should
-      coordinate the execution of your analysis by e.g. calling
-      sub-scripts and functions with appropriate parameters.
+      adjustments from our side.  A single {\em main} script should
+      coordinate the analysis by calling functions and sub-scripts and
+      should produce the {\em same} figures that you use in your
+      slides. The code should be properly commented and comprehensible
+      by a third persons (use proper and consistent variable and
+      function names).
+
+      \vspace{1ex} 
+
+      \textbf{Please write your name and matriculation number as a
+      comment at the top of the \texttt{main.m} script.}
 
       \vspace{1ex}
       
@@ -37,7 +36,9 @@
       held in English. In the presentation you should (i) briefly
       describe the problem, (ii) explain how you solved it
       algorithmically (don't show your entire code), and (iii) present
-      figures showing your results. We will store all presentations on
-      one computer to allow fast transitions between talks.
+      figures showing your results. All data-related figures you show
+      in the presentation should be produced by your program. It is
+      always a good idea to illustrate the problem with basic plots of
+      the raw-data.
 
     }}
diff --git a/projects/project_random_walk/random_walk.tex b/projects/project_random_walk/random_walk.tex
index e0f906a..797623f 100644
--- a/projects/project_random_walk/random_walk.tex
+++ b/projects/project_random_walk/random_walk.tex
@@ -41,7 +41,7 @@ in food gain the animal switches back to a random walk.
 
 \begin{questions}
   \question{} The accompanying dataset (random\_world.mat) contains a
-  single variable stored. This is the world (10000\,m$^2$ area with
+  single variable. This is the world (10000\,m$^2$ area with
   10\,cm spatial resolution) in which there are randomly distributed
   food sources (Gaussian blotches of food).
   
@@ -58,10 +58,12 @@ in food gain the animal switches back to a random walk.
     with MATLAB)\\[0.5ex]
     \part{} Same as above, but create a model animal that has some memory,
     i.e. the direction is kept constant as long as there is a positive
-    gradient in the food gain. Otherwise a random walk is performed\\[0.5ex]
+    gradient in the food gain. Otherwise, a random walk is performed.\\[0.5ex]
     \part{} Plot a typical example walk also for this agent.\\[0.5ex]
-    \part{} Compare the performance of the two agents. Create appropriate
-    plots and apply statistical methods.
+    \part{} Compare the performance of the two agents. Create
+    appropriate plots and apply statistical methods. You will need to
+    run the simulations several times to get a good estimate of the
+    neumbers.
   \end{parts}
 \end{questions}