STSCI 5080

STSCI 5080

Course information provided by the Courses of Study 2022-2023.

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, as well as an introduction to Bayesian methods. Some assignments may involve computation using the R programming language.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or equivalent.

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.

  • 4 Credits Stdnt Opt

  •  9545 STSCI 5080   LEC 001

    • TR Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or equivalent. Enrollment limited to MPS (Applied Statistics) students

  •  9546 STSCI 5080   DIS 201

    • F Upson Hall 142
    • Aug 22 - Dec 5, 2022
    • El Alaoui, A

  • Instruction Mode: In Person