ILRST 3110

ILRST 3110

Course information provided by the Courses of Study 2023-2024.

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.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: MATH 1110 or equivalent.
Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: BTRY 3080, ECON 3110, ECON 3130, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110.

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Graded

  • 10862 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 10863 ILRST 3110   DIS 201

    • R Ives Hall 111
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 10864 ILRST 3110   DIS 202

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 10865 ILRST 3110   DIS 203

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 10866 ILRST 3110   DIS 204

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person