ILRST 3110

ILRST 3110

Course information provided by the 2025-2026 Catalog.

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based estimation, sampling distributions and hypothesis testing.


Prerequisites MATH 1106 or MATH 1110.

Forbidden Overlaps BTRY 3080, ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110

Enrollment Priority Open to: undergraduate students.

Distribution Requirements (DLG-AG, MQL-AG, OPHLS-AG), (SDS-AS, SMR-AS), (ICE-IL, STA-IL)

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Graded

  •  4670 ILRST 3110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  4671 ILRST 3110   DIS 201

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

  • Instruction Mode: In Person

  •  4672 ILRST 3110   DIS 202

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

  • Instruction Mode: In Person

  •  4673 ILRST 3110   DIS 203

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

  • Instruction Mode: In Person

  •  4674 ILRST 3110   DIS 204

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

  • Instruction Mode: In Person