MATH 118 - Foundations in Data Science

    Recent Professors
    Derrick Smith
    Recent Semesters
    Spring 2027, Fall 2026, Spring 2026
    Class Size
    38–40 students
    Credits
    4
    Prerequisite
    Prerequisite: MATH 203 or appropriate placement through multiple-measures assessment process. Recommended Preparation: STAT C1000 or STAT C1000 or CIS 006.
    Spring 2027 Sections
    View Spring 2027 sections of MATH 118
    Transfers To
    CSUCSU GE Area B4
    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 10:00am–11:15am, Mon 11:30am–12:45pm, Mon Wed 10:00am–11:15am, Mon Wed 11:30am–12:45pm