此课程适用人群: This class is aimed at the beginning graduate student, or the well-prepared undergraduate in engineering, mathematics or the physical sciences. A working knowledge of linear algebra (matrix-vector manipulations) is needed. Some exposure to partial differential equations would be very helpful. Experience with programming is a must. This could be Matlab or a language such as Fortran, C or Python.


制作方:   密歇根大学

  • Krishna Garikipati, Ph.D.

    教学方:    Krishna Garikipati, Ph.D., Professor of Mechanical Engineering, College of Engineering - Professor of Mathematics, College of Literature, Science and the Arts

级别Intermediate
承诺学习时间You should expect to watch about 3 hours of video lectures a week. Apart from the lectures, expect to put in between 3 and 5 hours a week.
语言
English
硬件要求It would be ideal if you have your own notebook/desktop computer to install the open-access code.
如何通过通过所有计分作业以完成课程。
用户评分
4.7 stars
Average User Rating 4.7查看学生的留言
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每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

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制作方
密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
评分和审阅
已评分 4.7,总共 5 个 48 评分

good for learning.

I've encountered very few courses that demonstrate the detailed connection between what we learn in theory and applying them in programming languages. The instructions on programming assignments are limpid, can get through them even with very little programming experience.

This is a good intro course which introduce the Finite Element Method step by step, which suited me perfectly since I hardly coded in c++ nor did FEM before.

Nevertheless, as a graduate student, the pace is very slow, and the outline and motivation unclear, which would likely have discouraged me if I did not review video in x2, and stuck to second week lectures and onward.

I would advise to introduce more outline and motivation at the beginning of the week lecture to keep students motivated.

Apart from that, I recommand the course !

It is very well structured and Dr Krishna Garikipati helps me understand the course in very simple manner. I would like to thank coursera community for making this course available.