ILRST 3080

Last Updated

  • Schedule of Classes - December 22, 2024 7:33PM EST
  • Course Catalog - December 22, 2024 7:07PM EST

ILRST 3080
Probability Models and Inference

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, the method of moments, sampling distributions and confidence intervals.

When Offered Fall, Spring.

Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200, MATH 1120 and MATH 2220 or thier equivalents. 
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 3080, ILRST 3110, MATH 4710, STSCI 3110, STSCI 3080.

Distribution Category (OPHLS-AG)

Outcomes
  • Students will be able to manipulate random variables and their distributions using differential and integral calculus.
  • Students will be able to derive properties of standard probability.
  • Students will be able to derive maximum likelihood estimators for standard probability distributions and discuss their properties.

View Enrollment Information

Syllabi:

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080, STSCI 3080

  • 4 Credits Stdnt Opt

  •  8258 ILRST 3080   LEC 001

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    • TR Olin Hall 255
    • Aug 26 - Dec 9, 2024

    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisite: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  •  8259 ILRST 3080   DIS 201

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  • Instruction Mode: In Person

  •  8260 ILRST 3080   DIS 202

  •  

  • Instruction Mode: In Person