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 1110 or equivalent.

Distribution Requirements (DLS-AG, MQL-AG, OPHLS-AG), (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

  • 18034 ILRST 3110   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 18035 ILRST 3110   DIS 201

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 18036 ILRST 3110   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 18037 ILRST 3110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 18038 ILRST 3110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person