EPS SCI 205Inverse Theory and Data Interpretation
Earth, Planetary, and Space Sciences · 4 units · Graduate courses (200-299)
Inverse modeling problem—determination of model parameters consistent with experimental data, considering effects of random errors and nonuniqueness. Emphasis on linear and quasi-linear problems; nonlinear problems also discussed. Tools used include matrix theory, quadratic forms, orthogonal rotations, statistics, principal axis transformation for rectangular matrices, Bachus/Gilbert resolving kernels, and Lagrange multipliers. Examples from broad range of physical sciences.
S/U or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Requisites: Mathematics 115A, 170A, 170B, 171.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
EPS SCI 205
- MATH 115ALinear Algebra
- MATH 33ALinear Algebra and Applications
- MATH 170AProbability Theory I
- MATH 32BCalculus of Several Variables
- MATH 170BProbability Theory II
- MATH 171Stochastic Processes
- STATS 100AIntroduction to Probability
- MATH 170EIntroduction to Probability and Statistics 1: Probability
4 direct requisites. Showing 24 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.