贝叶斯统计课程建设和改革的实践与研究

Practice and Research on the Curriculum Construction and Reform of the Bayesian Statistics Course

基于机器学习领域技术革新的引领,应用统计学科在大数据时代背景下,已经成为自然科学、社会科技与互联网金融行业发展的驱动力之一。应用型高校下设的统计学专业必须立足于教育的内涵建设和可持续发展,确定与社会需求一致的培养目标、制定与学科发展同步的培养计划。本文从"教学内容、教学方式、实践教学、教学资源、教学团队"等方面进行阐述,提出能够提升课程品质和规范教学体系的各类方案,推动贝叶斯统计课程建设和改革的过程对同类课程有借鉴及推广的意义。

Under the guidance of technological innovation in the field of machine learning, applied statistics has become one of the driving forces for the development of natural science, social science and the Internet financial industry in the background of the big data era. Statistics major in applied university must pay attention to the construction of education connotation and the sustainable development of education, identify training objectives to meet social needs, and develop synchronous training plans with disciplinary development. In this paper, we elaborate on teaching content, teaching method, practical teaching, teaching resources, teaching team, respectively, and propose various schemes that can improve the quality of the curriculum and stand-ardize the teaching system. It is of referencial and popularizing significance for other similar courses to promote the process of construction and reform of Bayesian Statistics course.