MATH 23 - Engineering Statistics

    Recent Professors
    Fatemeh Yarahmadi
    Recent Semesters
    Winter 2027
    Class Size
    Not published
    Credits
    5
    Prerequisite
    MATH D001C or MATH D01CH (with a grade of C or better)
    Winter 2027 Sections
    View Winter 2027 sections of MATH 23
    Transfers To
    UC and CSUCal-GETC Area 2 · IGETC Area 2A · CSU GE Area B4
    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).
    Usually Held
    Tue Thu 4:00pm–6:15pm