Suggestions on topic selection for the 2023 American College Mathematical Contest in Modeling (Spring Competition)
Mr. C’s opinion of difficulty: Y=Z (both easier), degree of openness: Y<Z .
Question Y Understanding Used Sailboat Prices (Understanding Used Sailboat Prices)
This question is a traditional data analysis question. As the value of sailboats changes with their age and market conditions. The contest title presents data including approximately 3,500 sailing boats between 36 and 56 feet in length, which will be advertised for sale in Europe, the Caribbean and the United States in December 2020. As the title says, you can supplement the provided dataset with any additional data of your choice; however, you must include the data in "2023_MCM_Problem_Y_Boats.xlsx" in your modeling. This means that the collection of data sets is also very important for this competition. The quality and completeness of the searched data sets will directly affect whether the final modeling results are more credible and comprehensive. It is recommended to spend half a day or more time for data collection (C Jun's team will also come out).
This question calls for a report on the pricing of used sailboats. Preprocessing, prediction, modeling and other operations can be performed according to the data set. The recommended prediction algorithms include xgboost, random forest, adaboost, gray prediction, neural network prediction, etc. Here you can use some newer prediction algorithms in recent years. In the modeling process, association algorithms and evaluation algorithms (such as gray comprehensive evaluation method, fuzzy comprehensive evaluation method, etc.) can also be used for analysis. Mr. C recommends that students of all majors choose it, which is less difficult and more open. (Data sets, ideas, references, reference papers will be updated on csdn)
Question Z The Future of the Olympics
As the International Olympic Committee (IOC) is facing a dwindling number of bids to host the Summer and Winter Games, in order to address this issue, this question asks for proposals to support the work of the ICMG. ICMG recommends measuring the impact of hosting the Games from various perspectives: economics, land use, people's satisfaction (athletes and spectators), tourism, opportunities for future improvements, prestige of the host city/country, and other criteria determined by your team. Consider feasibility, implementation timelines, and the impact of potential strategies on metrics.
The key to this question is to collect data, and the question is very open. The data to be collected should include data from different countries, and different modeling and analysis should be carried out. This topic seems easy, but if you want to win a better award, you need to show your skills, and you need a lot of Chinese modeling content and visualization content to fill the paper, so that the logic of the paper is rich and layered. Mr. C recommends mathematics, computer and other related majors, which are less difficult and have a high degree of openness. (Data sets, ideas, references, reference papers will be updated on csdn)
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