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De Anza College

MATH 23

Engineering Statistics · 5 units · used in 198 transfer pathways

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About this course

This course provides a comprehensive introduction to probabilistic and statistical modeling for students in engineering, economics, finance and related disciplines in the mathematical sciences. It exposes students to a variety of applications requiring decision making in the face of uncertainty. Topics covered include the collection and analysis of information, making use of graphical and numerical techniques, discrete, continuous, cumulative, and joint probability distribution functions and use of statistical inference, experimental design, and equation fitting, when appropriate. Many of the applications require the use of technology (computers and graphic calculators). Computer simulations are used to illustrate difficult topics and provide visualization of advanced theoretical results (e.g. the Central Limit Theorem).

Sections this term

Fall 2026 · updated Sep 3, 3:30 PM UTC

No section is scheduled at De Anza College for Fall 2026. The course can still be offered in a later quarter.

Enrollment availability changes frequently. Confirm status in the official FHDA registration system before enrolling.

Prerequisites

  • MATH 1CCalculus III
  • orMATH D01CH (with a grade of C or better)

Catalog wording: “MATH D001C or MATH D01CH (with a grade of C or better)

Advisory: “ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for ENGL C1000 or ENGL C1000H or ESL D005.

Transfer pathways that use MATH 23

ASSIST maps MATH 23 to a requirement in 198 published pathways from De Anza College — 24 shown.

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Articulation, prerequisites, course details and class availability all come from sources that change. If something here does not match the official record, tell us and we will fix it — corrections from students and staff are the fastest way this stays accurate.