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生物计算:在工程与科学的十字路口

Biological Computing: At the Crossroads of Engineering and Science
课程网址: http://ocw.mit.edu/courses/biology/7-349-biological-computing-at-...  
主讲教师: Julia Khodor
开课单位: 麻省理工学院
开课时间: 2005-01-01
课程语种: 英语
中文简介:
想象一下, 你是一个推销员, 需要参观100个由一套道路相连的城市。你能做到吗, 而在每个城市只停留一次?即使是每秒1万亿操作的超级计算机, 在依次考虑每种可能性时, 也需要比宇宙年龄更长的时间来找到解决方案。1994年, 伦纳德·阿德尔曼发表了一篇论文, 他在论文中描述了一个利用分子生物学工具解决这个问题的7个城市较小的例子。他的论文引起了巨大的科学和公众兴趣, 并启动了生物计算领域, 这是本次讨论的主要主题研讨会课程。学生们将分析 adleman 论文以及论文前后的论文, 并着眼于识别每篇论文的工程和科学方面, 强调这两种方法在生物计算领域的相互作用。本课程适用于生物学和非生物学专业。我们将注意为科学家和工程师填补任何知识空白。本课程是麻省理工学院生物系提供的众多   高级本科生研讨会之一。这些研讨会是为有兴趣利用初级研究文献在高度互动的环境中讨论和了解当前生物研究的学生量身定制的。
课程简介: Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of each paper, emphasizing the interplay of these two approaches in the field of Biological Computing. This course is appropriate for both biology and non-biology majors. Care will be taken to fill in any knowledge gaps for both scientists and engineers.This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting.
关 键 词: 生物计算; 解决方案; 公共利益
课程来源: 麻省理工学院公开课
最后编审: 2020-10-21:yumf
阅读次数: 50