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Course Info

Instructor:
  • Dr. Sai Ravela
Course Number:
  • 12.S990
Departments:
  • Earth, Atmospheric, and Planetary Sciences
As Taught In: Fall 2012
Level: Undergraduate
Graduate

Topics

  • Engineering
    Computer Science
    Algorithms and Data Structures
    Systems Engineering
    Computational Modeling and Simulation
    Systems Optimization
  • Mathematics
    Applied Mathematics

Learning Resource Types

group_work Projects with Examples
notes Lecture Notes
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Course Info
Quantifying Uncertainty
  • Syllabus

  • Lecture Notes

  • Projects

  • Study Materials

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Resources

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Lecture Notes

Quantifying Uncertainity, Lecture 10

Quantifying Uncertainty

Quantifying Uncertainty, Lecture 1

Quantifying Uncertainty, Lecture 10

Quantifying Uncertainty, Lecture 11

Quantifying Uncertainty, Lecture 11

Quantifying Uncertainty, Lecture 12-13

Quantifying Uncertainty, Lecture 2-3

Quantifying Uncertainty, Lecture 4-5

Quantifying Uncertainty, Lecture 6

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Projects

Explanation for each slide of "Probabilistic Collocation Method (PCM) for modeling response of GEOS-Chem simulations to model parameter uncertainties"

Factor analysis techniques in single-particle aerosol mass spectrometry

Probabilistic Collocation Method (PCM) for modeling response of GEOS-Chem simulations to model parameter uncertainties


Tools

cereal.mat

dt.m

ex11a.m

icaexample.m

icaexample.mat

kernelest.m

mani.m

mdsex.m

randfield.m


Course Info

Instructor:
  • Dr. Sai Ravela
Course Number:
  • 12.S990
Departments:
  • Earth, Atmospheric, and Planetary Sciences
As Taught In: Fall 2012
Level: Undergraduate
Graduate

Topics

  • Engineering
    Computer Science
    Algorithms and Data Structures
    Systems Engineering
    Computational Modeling and Simulation
    Systems Optimization
  • Mathematics
    Applied Mathematics

Learning Resource Types

group_work Projects with Examples
notes Lecture Notes
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