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MATH 151BApplied Numerical Methods

Mathematics · 4 units · Undergraduate upper division (100-199)

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Introduction to numerical methods with emphasis on algorithms, analysis of algorithms, and computer implementation issues. Solution of nonlinear equations. Numerical differentiation, integration, and interpolation. Direct methods for solving linear systems.

Letter grading.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

Requisite: course 151A.

BruinTree reads · Prerequisite

confidence 1.00 · from text
MATH 151A

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

MATH 151B

  • MATH 151AApplied Numerical Methods
    • MATH 32BCalculus of Several Variables
      • MATH 31BIntegration and Infinite Series1 more beneath
      • MATH 32ACalculus of Several Variables1 more beneath
    • MATH 33BDifferential Equations
      • MATH 31BIntegration and Infinite Seriesanother path to it
    • COM SCI 31Introduction to Computer Science I
    • MATH 115ALinear Algebra
      • MATH 33ALinear Algebra and Applications1 more beneath
    • COMPTNG 10AIntroduction to Programming

1 direct requisite. Showing 10 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.

MATH 151B

  • MATH 269AAdvanced Numerical Analysis
  • MATH 269BAdvanced Numerical Analysis
  • MATH 269CAdvanced Numerical Analysis
  • MATH 270AMathematical Aspects of Scientific Computing: Techniques of Scientific Computing
  • MATH 270BMathematical Aspects of Scientific Computing: Computational Linear Algebra
    • MATH 270FMathematical Aspects of Scientific Computing: Parallel Numerical Algorithmsanother path to it
  • MATH 270CMathematical Aspects of Scientific Computing: Computational Linear Algebra
    • MATH 270FMathematical Aspects of Scientific Computing: Parallel Numerical Algorithmsanother path to it
  • MATH 270DMathematical Aspects of Scientific Computing: Computational Fluid Dynamics
  • MATH 270EMathematical Aspects of Scientific Computing: Computational Fluid Dynamics
  • MATH 270FMathematical Aspects of Scientific Computing: Parallel Numerical Algorithms

9 courses list this as a requisite. The whole downstream is here — 11 courses over 2 levels. Every course here opens its own tree.

  • Fall 2025
  • Winter 2026
  • Spring 2026
  • Fall 2026
  • Winter 2027
  • Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.