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# 864 Paper

# 864 Score Report

Dear Team #864,

To start, most of your paper is neatly presented, with an understandable approach to the problem. All the necessary sections are included and graphs are clearly labeled. However, there are quite a few noticeable problems:

First, you must make sure that you understand what each section of the paper is supposed to incorporate. If you need any clarifications, you can always check out the AoCMM grading rubric, which can be found on http://aocmm.org/2015-rubric. Specifically, the introduction should be about the background of the problem; you must restate the problem in your “own words”, not just simply copying the original problem. Your summary actually covers a lot about the topics that should be in the introduction, so it would be better to make the summary more concise and move the excess content to the introduction. As arguably the most important section of your paper, your summary should primarily be about how you actually address the problem and the results given back by your model.

Second, in your paper, you should never talk about yourself, your mathematical modeling ability, or how thankful you are to the competition organizers in your paper (It would be much better to send a thank you email instead). Stating that your English skills might not be good enough to explain the problem is not only irrelevant to the problem, but will also reflect badly on your abilities. As judges, we try our best to understand your model and give a final score without factoring in your writing skills. However, with this said, no language other than English should appear on your final paper, even the legend of your graphs.

Finally, and most importantly, the model itself is too simple to address the problem efficiently. Most of your explanations are in plain text and do not have a strong and accurate mathematical element to it. For example, the third graph should be a horizontal line according to how you scaled your x-axis. If cumulative probability is intended, you must state so directly. To explain your logic more clearly, try creating a flow chart of your algorithm because most of the time, charts, graphs, and tables supplement written explanations very well. In addition, you might also want to include some randomness factors, such as the chance of student A solving problem B decreases as the ability level of student A decreases or the difficulty level of problem B increases.

Overall, you have a strong understanding of the problem, but need to further enhance your math skills in order to develop a good model that can effectively solve this problem.

Overall, you have a strong understanding of the problem, but need to further enhance your math skills in order to develop a good model that can effectively solve this problem.

Best,

Association of Computational and Mathematical Modeling