Les destinataires de ce cours : 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.


Créé par :   Université du Michigan

  • Krishna Garikipati, Ph.D.

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

NiveauIntermediate
EngagementYou 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.
Langue
English
Matériel requisIt would be ideal if you have your own notebook/desktop computer to install the open-access code.
Comment réussirRéussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs
4.6 stars
Average User Rating 4.6Voir ce que disent les étudiants
Programme de cours

FAQ
Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

Créateurs
Université du Michigan
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.
Notation et examens
Note moyenne 4.6 sur 5 sur 48 notes

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.