This Electrician Cup is the final battle of the mathematical modeling competition in the first half of 2023. The number of registered teams has reached 12,000 by the end of the statistics. At the same time, the free registration fee also makes this final battle popular among many modeling beginners. Treat it as the first practice match. In order to help you choose the topic, the following will bring you a brief analysis of the ideas of the AB two questions, and analyze the problems that may be encountered in the real modeling of the AB two questions.
Question A: Technical and Economic Analysis of Electric Heating Load Participating in Power System Power Regulation
The difficulty of question A is just like the position of question A. It is the most difficult question among them. Read through question A now, mainly a differential equation question. Question A mainly highlights two difficulties. The differential equation itself is difficult, and there are many problem settings. As a 72-hour digital-analog competition, the Electrician Cup has only three full days, and we need to answer 15 small questions. Unless the team members are particularly suitable for their profession, or the team's ability is very outstanding. Otherwise, if you choose question A, there is a high probability that you will have to work behind closed doors and miss the award.
Evaluation of the Impact of Artificial Intelligence on College Students' Learning in Question B
The documents and questions given in question B directly give the core questionnaire + comprehensive evaluation of question B. At present, simply looking at the given documents, question B is not difficult. Let’s take a look at the problem settings of question B respectively.
Question 1 requires us to analyze the given questionnaire results and numerically process the questionnaire results. In short, it is questionnaire analysis + text data visualization. Since the questionnaire is involved here, you can refer to the mathematical modeling competition and questionnaire-related competitions in the past two years. (The second Huashu Cup, last year's Ma Cup big data challenge competition, the second car valuation), and correspondingly, there is another competition that is a questionnaire competition. We have collected the excellent papers of the National Award for the Zhengda Cup questionnaire competition on the Internet. , for your reference
Question 2, the link between the previous and the next, select the indicators that are closely related to the core issue of the first question, and also choose the indicators related to the artificial intelligence and the learning level of the students in the third question. According to the selected indicators, a comprehensive evaluation model can be constructed. For the choice of model, I personally recommend an objective comprehensive evaluation model, such as principal component analysis, rank sum ratio, gray correlation, ideal solution, etc., are more suitable.
Question 3. Evaluate the impact of artificial intelligence on college students' learning. I personally think that the essence of the problem is to find the relationship between the two. The relationship is usually divided into a certain relationship (functional relationship) and an uncertain relationship (similarity, positive and negative correlation). As for which relationship is appropriate to choose, it needs to be based on each team's understanding of the competition topic. Different teams have different understandings of the same question. Therefore, here I briefly describe these two relationships separately.
Non-deterministic relationship, the approximate relationship between the two can be obtained, and some correlation coefficients such as Pearson can be used to analyze the degree of positive and negative correlation
For deterministic relationship, it is necessary to establish a multiple regression analysis model and use linear relationship to judge. If the linear relationship is good, you can choose a multiple linear regression model; if the linear relationship is not good, you can choose fitting to build a multiple nonlinear regression model.
Question 4, non-technical articles, which requires everyone to write their own according to the results of questions 1, 2, and 3 of their own teams.
Regarding the difficulty of question AB, it is obvious that choosing question B this time is the general trend, and there may be a spectacle of 1:9 and 2:8. Therefore, how can we stand out from the nearly 10,000 teams who chose question B? Need some innovation. At present, I have initially sorted out some innovative points, hoping to be helpful to everyone.
Innovation:
1. Questionnaire analysis
1.1 Text data visualization
1.2 Contents of the questionnaire
1.3 The structure of questionnaire papers must conform to the rules
1.4 Numerical processing is rational and innovative
2. Question stem
2.1 Understanding of priority, scientificity and operability
Question 1. Questionnaire analysis + text data visualization
Question 2: Index selection + selection result analysis + comprehensive evaluation
Question 3. Based on the data construction to determine the relationship (functional relationship) and solve the multiple linear regression model
Question 4. Non-technical articles
Finally, I wish everyone a smooth competition! ! ! ! ! ! !