MATH 118 - Foundations in Data Science

    Recent Professors
    Jeronimo Perez
    Recent Semesters
    Spring 2027, Fall 2026, Spring 2026
    Class Size
    40 students
    Credits
    4
    Prerequisite
    Prerequisite: MATH 203 or appropriate placement through multiple measures assessment process Recommended Preparation: MATH 13 or STAT C1000 or CIS 006
    Spring 2027 Sections
    View Spring 2027 sections of MATH 118
    Transfers To
    UC and CSUCal-GETC Area 2
    Description
    Foundations of Data Science: Collecting data, sampling; observational and experimental studies; tables and graphs; histograms; measures of center, spread, and correlation; probability; random variables; normal distributions; confidence intervals; hypothesis testing; Regression; ethical issues; algorithm design, flow charting, and debugging; elements of good programming style.
    Usually Held
    Mon Wed 4:30pm–5:45pm, Mon Wed 6:00pm–7:15pm