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 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 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

  •  3125 ILRST 3110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

    Prerequisite: MATH 1110 or equivalent.

  •  3126 ILRST 3110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3127 ILRST 3110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3128 ILRST 3110   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3129 ILRST 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person