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