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[disclaimer] some changes to the disclaimer

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Jan Grewe 2017-01-23 16:02:17 +01:00
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commit ee841ff97d
2 changed files with 27 additions and 24 deletions
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41
projects/disclaimer.tex
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@ -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.
}}

10
projects/project_random_walk/random_walk.tex
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@ -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}