数据科学导论课程,作为新工科教育结构的关键要素,对人才培养具有重要价值和深远意义。课程通过精致教学目标、优化课程内容、创新教学方法,致力于提升学生综合运用知识解决实际问题的能力。经过这一系列创新性改革,旨在为新工科人才的...数据科学导论课程,作为新工科教育结构的关键要素,对人才培养具有重要价值和深远意义。课程通过精致教学目标、优化课程内容、创新教学方法,致力于提升学生综合运用知识解决实际问题的能力。经过这一系列创新性改革,旨在为新工科人才的培育奠定坚实基础,使学生能在数据科学领域日新月异的发展中,突显其竞争优势,培养成为具有创新思维和实践能力的未来领军人物。The Introduction to Data Science course, as a key element of the new engineering education framework, holds significant value and far-reaching implications for talent cultivation. This course aims to enhance students’ ability to apply knowledge comprehensively to solve real-world problems through refined teaching objectives, optimized course content, and innovative teaching methods. Through this series of innovative reforms, the goal is to lay a solid foundation for cultivating talent in new engineering disciplines, enabling students to stand out in the rapidly evolving field of data science and become future leaders with innovative thinking and practical skills.展开更多
文摘数据科学导论课程,作为新工科教育结构的关键要素,对人才培养具有重要价值和深远意义。课程通过精致教学目标、优化课程内容、创新教学方法,致力于提升学生综合运用知识解决实际问题的能力。经过这一系列创新性改革,旨在为新工科人才的培育奠定坚实基础,使学生能在数据科学领域日新月异的发展中,突显其竞争优势,培养成为具有创新思维和实践能力的未来领军人物。The Introduction to Data Science course, as a key element of the new engineering education framework, holds significant value and far-reaching implications for talent cultivation. This course aims to enhance students’ ability to apply knowledge comprehensively to solve real-world problems through refined teaching objectives, optimized course content, and innovative teaching methods. Through this series of innovative reforms, the goal is to lay a solid foundation for cultivating talent in new engineering disciplines, enabling students to stand out in the rapidly evolving field of data science and become future leaders with innovative thinking and practical skills.
