在分析数智化内涵与外延基础上,多视角分析了数智化是如何影响数学专业学生的实践创新能力提升。进而阐述了数智化融入数学专业实践创新能力提升的实施路径及案例分析,最后为评估数智化融入数学学科的有效性,基于本校数学专业学生的实际数据,对数智化使用满意度进行问卷调查并进行数据分析,并提出整改建议。Based on the analysis of the connotation and extension of digitization, we analyze how digitization affects the improvement of the practical innovation ability of mathematics majors. Furthermore, the implementation path and case analysis of integrating digitalization into the practical innovation ability of mathematics majors were elaborated. Finally, in order to evaluate the effectiveness of integrating digitalization into mathematics, a questionnaire survey was conducted based on the actual data of mathematics majors in our university to investigate their satisfaction with the use of digitalization, and data analysis was conducted. Suggestions for improvement were also proposed.
类脑智能是生物医学工程学科的一个重要方向,目前已经上升为国际科技竞争的一个战略高地,迫切需要培养造就能解决疑难复杂类脑智能科学问题及其背后“卡脖子”技术问题的科研骨干和未来领军人才。然而,传统的生物医学工程–类脑智能人才培养模式还存在不足,影响到高层次研究生培养质量。本研究以类脑智能核心课程改革作为突破口,以高水平科研支撑研究生培养,构建了以科–教、赛–课、赛–研“三融合”为特征的类脑智能高层次人才培养新模式,塑造了一支“导学、导研、导赛”的“三导型”导师队伍,以加强“三融合”之间的贯通性,提高高层次、创新性人才培养质量。十多年的实践表明,“三融合”、“三导型”人才培养模式实现了学生学习内生动力和创新能力提高、工程实践能力增强以及就业前景好的良性循环,高层次人才培养质量改善显著。Brain-inspired intelligence is an important direction in the subject of biomedical engineering, and at present, it has risen to a strategic highland of international technological competition. There is an urgent need to cultivate research backbones and future leading talents, who can solve difficult and complex brain-inspired intelligent scientific problems, as well as chokehold technical issues behind scientific problems. However, the traditional biomedical engineering—brain-inspired intelligence talent training mode still has shortcomings, which affects the quality of high-level graduate education. This study first takes the reform of core courses in the field of brain-inspired intelligence as a breakthrough point, and then supports the cultivation of graduate students through high-level scientific research. Finally, a new mode characterized by “three fusions” (science and education, competition and course, competition and research) for training high-level talents in the field of brain-inspired intelligence is cons
