STSCI 5080

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM EDT

STSCI 5080
Probability Models and Inference

Course information provided by the 2025-2026 Catalog.

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.


Prerequisites REF-FA25/Corequisites REF-FA25 STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent. Corequisites: None.

Last 4 terms offered (None)

Outcomes REF-FA25

  • 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

  •  4783 STSCI 5080   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Kato, K

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  4784 STSCI 5080   DIS 201

  •  
    • F
    • Aug 25 - Dec 8, 2025

    • Kato, K

  • Instruction Mode: In Person