STSCI 3080

Last Updated

  • Schedule of Classes - June 10, 2026 7:07PM EDT

STSCI 3080
Probability Models and Inference

Course information provided by the 2026-2027 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, the method of moments, sampling distributions and confidence intervals.


Prerequisites STSCI 2150 or STSCI 2200; MATH 1120 and MATH 2220; or equivalents.

Forbidden Overlaps ECON 3110, ECON 3130, ILRST 3080, ILRST 3110, MATH 4710, STSCI 3080, STSCI 3110

Distribution Requirements (DLS-AG, OPHLS-AG), (SDS-AS), (ICE-IL, STA-IL)

Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

Learning 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: ILRST 3080

  • 4 Credits Stdnt Opt

  • 14961 STSCI 3080   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 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/

  • 14962 STSCI 3080   DIS 201

  •  
    • F
    • Aug 24 - Dec 7, 2026

    • Bunea, F

  • Instruction Mode: In Person

  • 14963 STSCI 3080   DIS 202

  •  
    • M
    • Aug 24 - Dec 7, 2026

    • Staff

  • Instruction Mode: In Person