MATH 4710

MATH 4710

Course information provided by the 2025-2026 Catalog.

Introduction to probability theory, which prepares the student to take MATH 4720. The course begins with basics: combinatorial probability, mean and variance, independence, conditional probability, and Bayes formula. Density and distribution functions and their properties are introduced. The law of large numbers and the central limit theorem are stated and their implications for statistics are discussed.


Prerequisites MATH 1110-MATH 1120, or equivalent.

Distribution Requirements (MQL-AG, OPHLS-AG), (SMR-AS)

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  3592 MATH 4710   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Saloff-Coste, L

  • Instruction Mode: In Person

  •  6267 MATH 4710   DIS 201

    • W
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  6268 MATH 4710   DIS 202

    • W
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  6269 MATH 4710   DIS 203

    • W
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  6270 MATH 4710   DIS 204

    • W
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person