STSCI 5080

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM 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 STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent.

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2024SP

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 3080, ILRST 3080, STSCI 3080

  • 4 Credits Stdnt Opt

  •  5458 STSCI 5080   LEC 001

  •  
    • MW
    • Jan 20 - May 5, 2026

    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  5459 STSCI 5080   DIS 201

  •  
    • T
    • Jan 20 - May 5, 2026

    • Bunea, F

  • Instruction Mode: In Person

  •  5460 STSCI 5080   DIS 202

  •  
    • R
    • Jan 20 - May 5, 2026

    • Bunea, F

  • Instruction Mode: In Person