Special Subject in Atmospheric Science
Organized lecture or laboratory subject on an aspect of atmospheric science not normally covered in regularly scheduled subjects. 12.S990 is letter-graded.
Fall 2012 · Quantifying Uncertainty
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.
Readings
- Bryson, Jr. Arthur E. and Yu-Chi Ho. Applied Optimal Control: Optimization, Estimation and Control . Taylor & Francis, 1975. ISBN: 9780891162285.
- Gelman, A., J. Carlin, et al. Bayesian Data Analysis . Chapman and Hall, 2003. ISBN: 9781584883883.
- Papoulis, A. Probability, Random Variables & Stochastic Processes . McGraw-Hill, 2002. ISBN: 9780071226615.
- Silverman, B. W. Density Estimation for Statistics and Data Analysis . Chapman and Hall/CRC, 1986. ISBN: 9780412246203.
Prerequisites & course information
Prereq: Permission of instructor G (Fall, IAP, Spring) Not offered regularly; consult department Units arranged [P/D/F] Can be repeated for credit.
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2012
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.