MATH 42
Introduction to Data-Driven Mathematical Modeling: Life, Universe, and Everything
Mathematics · 4 units · Undergraduate lower division (0-99)
Introduction to data-driven mathematical modeling combing data analysis with mechanistic modeling of phenomena from various applications. Topics include model formulation, data visualization, nondimensionalization and order-of-magnitude physics, introduction to discrete and continuous dynamical systems, and introduction to discrete and continuous stochastic models. Examples drawn from many fields and practice problems from Mathematical Contest in Modeling.
P/NP or letter grading.
Requisites
Official UCLA wording
Requisites: courses 31A, 31B, 32A, 32B, 33A, one statistics course from Statistics 10, 12, 13, one programming course from Computer Science 31, Program in Computing 10A, Statistics 20.
BruinTree reads · Prerequisite
needs reviewconfidence 0.00 · from text- · could not read "one statistics course from Statistics 10" (no course number found)
- · could not read "12" (department of the preceding reference is unknown)
- · could not read "13" (department of the preceding reference is unknown)
- · could not read "one programming course from Computer Science 31" (no course number found)
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
MATH 42
- MATH 31ADifferential and Integral Calculus
- MATH 1Precalculus
- MATH 31BIntegration and Infinite Series
- COMPTNG 10AIntroduction to Programming
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MATH 42
- MATH 118Mathematical Methods of Data Theory
- MATH M148Experience of Data Science
- STATS M148Experience of Data Science
1 course lists this as a requisite. The whole downstream is here — 3 courses over 2 levels. Every course here opens its own tree.