STSCI 5080

Last Updated

  • Schedule of Classes - July 3, 2024 8:11PM EDT
  • Course Catalog - July 3, 2024 7:43PM EDT

STSCI 5080
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, 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. 

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

  •  6953 STSCI 5080   LEC 001

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    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024

    • Kato, K

  • Instruction Mode: In Person
    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  6954 STSCI 5080   DIS 201

  •  

  • Instruction Mode: In Person