From ee841ff97d794fcbad830760adb61c9a96d4b2a7 Mon Sep 17 00:00:00 2001 From: Jan Grewe Date: Mon, 23 Jan 2017 16:02:17 +0100 Subject: [PATCH] [disclaimer] some changes to the disclaimer --- projects/disclaimer.tex | 41 ++++++++++---------- projects/project_random_walk/random_walk.tex | 10 +++-- 2 files changed, 27 insertions(+), 24 deletions(-) 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}