摘要
试验设计与数据处理在生物工程专业方向有着重要的应用,但是在本科教学中开设该课程的高校较少。本文结合生物工程中的常见案例,对该课程教学过程中常用的软件包括Excel、正交试验设计助手、Data processing system(DPS)和Design expert在单因素、多因素、正交、均匀、P-B(Plackett-Burman)和响应面等数据处理方法进行了探讨。通过比较分析各种软件和数据处理方法之间特点,增加该课程教学的实践性和应用性,从而提高教学质量。
The application of experiment design and data processing plays a very import role in bioengineering field. However, only a few schools open it in their undergraduate course. In present work, the conventional cases in bioengineering were involved to introduce the familiar sottware of experiment design (including Excel, Orthogonal experiment helper, DPS and Design expert) and the major data processing method (including single factor, multifactor, Orthogonal, uniformity, P-B, response surface et al.) were discussed. By comparison the difference among the features of these software and data processing method, we hope to improve the teaching quality by increasing its practice and appliance.
出处
《现代生物医学进展》
CAS
2015年第19期3752-3754,3758,共4页
Progress in Modern Biomedicine
基金
中国矿业大学教改项目(2014YB22)
关键词
生物工程
试验设计与数据处理
正交设计
均匀设计
响应面设计
Bioengineering
Experiment design and data processing
Orthogonal design
Uniform distribution design
Response surface design