面向生物制造人才培养的研究生“计算生物学”课程建设

Development of a postgraduate course Computational Biology for cultivating talents in biomanufacturing

摘要:

生物制造作为新兴产业，因其绿色低碳、高效可持续的特性，正深刻重塑全球工业格局。在人工智能驱动下，生物制造亟需兼具生物学、计算科学等多学科交叉知识的应用型人才。因此，开设“计算生物学”课程是响应国家重大发展规划、培养所需人才的重要举措。本文阐述了“计算生物学”课程建设的紧迫性和现实意义以及课程建设面临的挑战，并基于生物制造的发展方向，结合学科发展和学生对计算生物学知识的需求，提出了以培养应用型人才为目标的建设思路，进而从搭建课程教学内容、融合多种教学组织方式、改进教学评价体系这3个方面介绍了课程建设的实施方案。该课程建设的实施，有助于培养将计算生物学工具熟练应用到生物制造领域的应用型人才，同时为其他高校开设相关课程提供经验和参考。

Abstract:

Biomanufacturing, as an emerging industry, is profoundly reshaping the global industrial landscape due to its green, low-carbon, efficient, and sustainable characteristics. Driven by artificial intelligence, this field urgently demands interdisciplinary applied talents proficient in both biological and computational sciences. In response, establishing the course Computational Biology to aligns with the national major development plans and cultivate the required talents is a significant measure. This paper elaborates on the urgency and practical significance of developing this course, as well as the challenges involved. Basing on the development direction of biomanufacturing, disciplinary trends, and students’ learning needs in Computational Biology, a development framework aimed at cultivating applied talents is proposed. Furthermore, the implementation plan for the course is detailed from three perspectives: designing the teaching contents, integrating diverse pedagogical approaches, and improving the teaching evaluation system. The implementation of this course will help to cultivate professionals skilled in applying computational biology tools to the biomanufacturing sector, while also providing valuable experience and reference for other universities offering similar courses.