\setlength{\fboxsep}{2ex}
\fbox{\parbox{1\linewidth}{\small 

      {\bf Evaluation criteria:}

      Each project has three elements that are graded: (i) the code,
      (ii) the slides/figures, and (iii) the presentation.

      \vspace{1ex}
      {\bf Dates:}

      The {\bf code} and the {\bf presentation} should be uploaded to
      ILIAS at latest on Thursday, February 9th, 12:59h. We will
      store all presentations on one computer to allow fast
      transitions between talks. The presentations start on Thursday,
      February 9th at 1:00h c.t.. 

      \vspace{1ex}
      {\bf Files:}

      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}
      {\bf Code:}

      The {\bf code} should be executable without any further
      adjustments from our side.  A single \texttt{main.m} script
      should coordinate the analysis by calling functions and
      sub-scripts and should produce the {\em same} figures
      (\texttt{saveas()}-function, pdf or png format) that you use in
      your slides. The code should be properly commented and
      comprehensible by a third person (use proper and consistent
      variable and function names).

      \vspace{1ex} 

      \emph{Please write your name and matriculation number as a
      comment at the top of the \texttt{main.m} script.}


      \vspace{1ex}
      {\bf Presentation:}
      
      The {\bf presentation} should be {\em at most} 10min long and be
      held in English. In the presentation you should (i) briefly
      describe the problem, (ii) present figures introducing, showing,
      and discussing your results, and (iii) explain how you solved
      the problem algorithmically (don't show your entire code). All
      data-related figures you show in the presentation should be
      produced by your program --- no editing or labeling by
      PowerPoint or other software. It is always a good idea to
      illustrate the problem with basic plots of the raw-data. Make
      sure the axis labels are large enough!

}}
