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个学期的生物医学工程课程，该课程使用系统生物工程方法，通过协作和沉浸式湿实验室实验和计算分析，从dna水平到器官水平跨越生物学的不同空间尺度。该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，并生成执行此类系统分析所需的高质量实验数据，填补了生物医学工程课程的需求。基础理论和工程原理（如反应速率，质量平衡等）和计算技能（具体的建模方法）是本课程的核心内容。然而，由于生物学和医学中系统模型的发展是数据驱动的，实验方法也在课程的并行实验中教授，以产生系统的高质量数据。利用学生调查和课堂录像带的正式分析进行的评价工作正在确定该课程在发展系统方法的知识和技能方面的效力以及该课程对整个课程的影响。项目团队正在通过网站发布、在ASEE、BMES和生物物理学会会议上的演讲，以及在他们的创新伙伴关系项目中通过14所大学的网络传播他们的材料和数据。更广泛的影响包括项目成果的传播和对女工科学生的特别关注。

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.