Class Details

MATH 23
Engineering Statistics

Course Description

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).

Class Details

Class Materials: View textbook and/or other materials for this course available at the Bookstore.
Class Dates: This class runs from 2024-04-08 to 2024-06-28.
Footnote:
MATH 23.40Z: Fully ONLINE. This class meets each week on scheduled days and times as noted in the class listing. Students must have access to a computer, the internet and an individual email address. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Most De Anza classes will use the Canvas course management system. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382 .

Course Details

Units

5 Units

Hours

• Weekly Lecture Hours: 5
• Weekly Lab Hours: 0

Gen Ed

General Education Class

Program Status

Program Applicable

Credit

Credit - Degree Applicable

Grading Method

Letter Grading

General Course Statement

General Statement

See general education pages for the requirements this course meets.

Requisite and Advisory

Advisory

ESL D272. and ESL D273., or ESL D472. and ESL D473., or eligibility for EWRT D001A or EWRT D01AH or ESL D005.

Prerequisite

MATH D001C or MATH D01CH (with a grade of C or better)