A Novel Systems Bioengineering Course for Engineering Curricula: Integrating Computational Systems Modeling with High-Throughput Experimentation

工程-其他(59)该项目正在开发一门为期一学期的生物医学工程课程，该课程通过协作和身临其境的湿实验室实验和计算分析，使用系统生物工程方法，从DNA水平到器官水平，跨越生物学的不同空间尺度。这门课程通过教授使用定量系统建模方法以整体和严格的方式研究生物系统所需的核心技能集，并生成执行此类系统分析所需的高质量实验数据，来满足生物医学工程课程的需求。基本理论和工程原理(如反应速率、质量平衡等)计算技能(具体的建模方法)是本课程讲义的核心。然而，由于生物学和医学中系统模型的发展是由数据驱动的，本课程还在同时进行的实验室课程中教授实验方法，以生成系统的高质量数据。利用学生调查和对课堂录像带的正式分析进行的评估工作正在确定该课程在发展系统方法知识和技能方面的成效，以及该课程对整个课程的影响。项目组正在通过网站张贴、在ASEE、BMES和生物物理学会会议上介绍以及通过其创新伙伴关系项目中的14个大学网络传播其材料和数据。更广泛的影响包括项目成果的传播和对工程专业女学生的特别关注。

Engineering - Other (59)The project is developing a one-semester biomedical engineering course that uses a systems bioengineering approach through collaborative and immersive wet-lab experiments and computational analyses that span different spatial scales in biology from DNA-level through organ-level. The course is filling a need in the biomedical engineering curriculum by teaching the core set of skills necessary to study biological systems in a holistic and rigorous way using quantitative systems modeling approaches and to generate the sort of high-quality experimental data needed to perform such systems analysis. The underlying theory and engineering principles (e.g. reaction rates, mass balance, etc.) and computational skills (specific modeling methodologies) are the core of the lecture material in this course. However, since the development of systems models in biology and medicine is data-driven, experimental approaches are also taught in concurrent lab sessions in the course to generate systematic high-quality data. Evaluation efforts using student surveys and formal analyses of classroom videotapes are determining the efficacy of the course in developing the knowledge and skills in the systems approach and the impact of the course on the overall curriculum. The project team is disseminating their material and data through website postings, through presentation at ASEE, BMES, and the Biophysical Society conferences, and through a 14 university network in their Partnership for Innovation project. Broader impacts include the dissemination of project results and a special focus on women engineering students.