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 1106 or MATH 1110.

Forbidden Overlaps 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 2026SP, 2025FA, 2025SP, 2024FA

View Enrollment Information

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

  • 4 Credits Graded

  •  8193 ILRST 3110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

    Prerequisite: MATH 1110 or equivalent.

  •  8194 ILRST 3110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8195 ILRST 3110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8196 ILRST 3110   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8197 ILRST 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8198 ILRST 3110   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8199 ILRST 3110   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person