CH ENGR M148

Introduction to Data Science

Chemical Engineering · 4 units · Undergraduate upper division (100-199)

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(Same as Electrical and Computer Engineering M148 and Computer Science M148.) How to analyze data arising in real world so as to understand corresponding phenomenon. Covers topics in machine learning, data analytics, and statistical modeling classically employed for prediction. Comprehensive, hands-on overview of data science domain by blending theoretical and practical instruction. Data science lifecycle: data selection and cleaning, feature engineering, model selection, and prediction methodologies.

Letter grading.

Requisites

Official UCLA wording
Requisites: one course from Civil and Environmental Engineering 110, Electrical and Computer Engineering 131A, Mathematics 170A, Mathematics 170E, or Statistics 100A, and Computer Science 31 or Program in Computing 10A, and 10B.

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Requires

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

CH ENGR M148

C&EE 110Introduction to Probability and Statistics for Engineers
- MATH 32ACalculus of Several Variables
  - MATH 31ADifferential and Integral Calculus1 more beneath
- MATH 33ALinear Algebra and Applications
  - MATH 3BCalculus for Life Sciences Students1 more beneath

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.