基于数学建模路径的警务大数据能力培养

The Police Capability of Big Data Affairs Development Path Based on Mathematical Modeling

警务大数据能力是公安大数据人才培养的中心目标,也是落实公安大数据战略的重要保证。警务大数据能力的核心要素涉及理想信念、领导决策、直觉关联思维、大数据分析处理、警务规律展现等五个方面。数学建模能够锻炼学生的警务大数据思维和技能,为警务大数据能力核心要素的生成提供了有效手段。充分发挥数学建模在警务大数据能力培养中的重要作用,需要进一步明确目标定位,构建体系化的教学训练模式,设计渐进式的教学体系,采用合理的教学方法,并建立一支高素质的师资队伍。

Police big data ability is the central goal of the police big data talent training,and also an important guarantee for the implementation of the police big data strategy.The core elements of police big data capability involve five aspects,such as ideal and belief,leadership decision-making,intuitive connected thinking,big data analysis and processing,and police law display.Mathematical modeling can train students'thinking and skills of police big data,and provide an effective means for the generation of core elements of police big data competence.To give full play to the important role of mathematical modeling in the cultivation of police big data ability,it is necessary to further clarify the target positioning,build a systematic teaching and training model,design a progressive teaching system,adopt reasonable teaching methods,and establish a high-quality teaching team.