MATH 4710

MATH 4710

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: MATH 1110-MATH 1120, or equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 3080/ILRST 3080/STSCI 3080, ECON 3110/ILRST 3110/STSCI 3110, ECON 3130, MATH 4710.

Distribution Category (SMR-AS)

Comments Recommended prerequisite: MATH 1920, MATH 2220, or equivalent.

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

  • 4 Credits Stdnt Opt

  •  3302 MATH 4710   LEC 001

    • MW Malott Hall 406
    • Aug 26 - Dec 9, 2024
    • Seong, K

  • Instruction Mode: In Person

  • 10788 MATH 4710   DIS 201

  • Instruction Mode: In Person

  • 10789 MATH 4710   DIS 202

  • Instruction Mode: In Person

  • 10790 MATH 4710   DIS 203

    • F Malott Hall 230
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 10791 MATH 4710   DIS 204

    • F Malott Hall 230
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person