ILRST 3110

ILRST 3110

Course information provided by the 2026-2027 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 1110.

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

Enrollment Information Enrollment limited to: undergraduates.

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

Last 4 Terms Offered 2026FA, 2026SP, 2025FA, 2025SP

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  7214 ILRST 3110   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • McKee, D

  • Instruction Mode: In Person

  •  7215 ILRST 3110   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7216 ILRST 3110   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7217 ILRST 3110   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7218 ILRST 3110   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person