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课程图谱 2013-06-01 13:41 0 票支持; 0 票反对
华盛顿大学的“Scientific Computing(科学计算)”公开课,主要关注如何解决一些领域类的数据分析和计算问题,包括物理和工程问题,金融和经济问题,医学问题,社会文艺以及生命科学问题等,感兴趣的同学可以关注。 |
开始时间: 04/22/2022 持续时间: 10 weeks
所在平台: CourseraArchive 课程类别: 统计和数据分析 |
课程主页: https://www.coursera.org/course/scientificcomp
课程评论: 1 个评论
Investigate the flexibility and power of project-oriented computational
analysis. Practice using this technique to resolve complicated
problems in a range of fields including the physical and
engineering sciences, finance and economics, medical, social and
biological sciences. Enhance communication of information by creating
visual representations of scientific data.
This course is a survey of numerical solution techniques for ordinary
and partial differential equations. Emphasis will be on the application
of numerical schemes to practical problems in the engineering and
physical sciences. Apply advanced MATLAB routines and toolboxes to
solve problems. Review and practice graphical techniques for
information presentation and learn to create visual illustrations of
scientific results
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课程图谱 2013-06-01 13:41 0 票支持; 0 票反对
华盛顿大学的“Scientific Computing(科学计算)”公开课,主要关注如何解决一些领域类的数据分析和计算问题,包括物理和工程问题,金融和经济问题,医学问题,社会文艺以及生命科学问题等,感兴趣的同学可以关注。 |
Investigate the flexibility and power of project-oriented computational analysis, and enhance communication of information by creating visual representations of scientific data.
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