ILRST 3110

ILRST 3110

Course information provided by the Courses of Study 2024-2025.

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.

View Enrollment Information

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

  • 4 Credits Graded

  •  8244 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person
    Prerequisite: MATH 1110 or equivalent.

  •  8245 ILRST 3110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8298 ILRST 3110   DIS 202

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8310 ILRST 3110   DIS 203

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8309 ILRST 3110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person