ILRST 3080

ILRST 3080

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 or their equivalents. MATH 1120 or equivalent and MATH 2220 or equivalent. 

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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  8258 ILRST 3080   LEC 001

    • 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

  • Instruction Mode: In Person

  •  8260 ILRST 3080   DIS 202

  • Instruction Mode: In Person