C&EE C111

Machine Learning and Artificial Intelligence for Civil Engineering

Civil and Environmental Engineering · 4 units · Undergraduate upper division (100-199)

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Theoretical and practical introduction to artificial intelligence and machine learning for civil engineering problems. Focus on practice and problem-solving skills. By course end, students are expected to be able to independently run machine learning analysis. Concurrently scheduled with course C211.

Letter grading.

When it runs

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Requisites

Official UCLA wording
Requisites: course M20, Chemistry 20A, 20B, Mathematics 31A, 31B, 32B, Physics 1A, 1B, 1C.

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Requires

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

C&EE C111

C&EE M20Introduction to Computer Programming with MATLAB
- MATH 33ALinear Algebra and Applications
  - MATH 3BCalculus for Life Sciences Students
  - MATH 31BIntegration and Infinite Seriesanother path to it
  - MATH 32ACalculus of Several Variablesanother path to it

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.