Lecture Notes on Digital modeling

Overview of Lecture Notes on digital modules

• 97% of the teams are Chinese.

• Awards are divided into O Award, F Award, M Award (First prize), H Award (Second prize), S Award (successful Entry Award)

Review

• First instance: Only two judges, review time quickly, around 10min

In the first instance, all the teams are graded, the team will be brushed off nearly half of the team, the brush off the general won the S award

• Final Judgment: Split rounds

  • One or two rounds: decided the top 20 to enter the third round, the remaining by the Rank M Award, H Award

  • Rounds: Direct decision O or F Awards, awards are subjective, see PPT

Paper Skills

• When searching for data

  • Search related literature, big data related topics can use tools such as crawler

  • Literature Review

  • Understand the background of the problem: continuous problem? Discrete problem? Big Data? Network flow? Environment related? Social sciences?

• When the modeling process

  • Let's start with the simple

  • In-depth analysis of simple models due to superficial complex models

  • Have your own understanding of the model

  • Consider the actual impact on the model

  • Do not forget to test the sensitivity of the model

• When writing a paper

  • Expressing typography is important

  • Early conception of the structure of papers

  • Easy to browse, multi-use charts, make illustrations

  • Writing with Latex,word also reluctantly, pay special attention to the editing of mathematical formula

  • Document reference to standardize

Pre-match preparation

• Read through a book about mathematical modeling

• Do a calendar year's topics, understand their ideas, models

• Familiar with the common algorithm programming, Python,matlab and other algorithms library, run your own program

• Familiar with all kinds of models and algorithms

• Communicate frequently between teams to understand the areas that players are good at

Lecture Notes on Digital modeling