Home #edutech MIT OpenCourseWare: New Courses 12.S990 Quantifying Uncertainty (MIT)

12.S990 Quantifying Uncertainty (MIT)

MIT OpenCourseWare: New Courses 2013-06-27

Summary:

The ability to quantify the uncertainty in our models of nature is fundamental to many inference problems in Science and Engineering. In this course, we study advanced methods to represent, sample, update and propagate uncertainty. This is a "hands on" course: Methodology will be coupled with applications. The course will include lectures, invited talks, discussions, reviews and projects and will meet once a week to discuss a method and its applications.

Link:

http://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-s990-quantifying-uncertainty-fall-2012

From feeds:

#edutech ยป MIT OpenCourseWare: New Courses

Tags:

boundary value problems polynomial chaos hierarchical bayes variational bayes particle filters & smoothers dimensionality reduction sparse optimization

Authors:

Ravela, Sai

Copyright info:

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Date tagged:

06/27/2013, 16:40

Date published:

06/26/2013, 05:00