STSCI 2150

STSCI 2150

Course information provided by the 2026-2027 Catalog.

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using R. Topics include graphical display, populations and sampling, probability distributions, expectation and variance, estimation, testing, correlation, regression, contingency tables, and the design of experiments. Emphasis is on concepts and the careful modeling of biological data, so that statistical methods are applied properly, pitfalls are avoided, and sound conclusions are reached.


Forbidden Overlaps AEM 2100, BTRY 3010, BTRY 6010, CEE 3040, CRP 1200, ENGRD 2700, HADM 2010, HADM 2011, ILRST 2100, ILRST 6100, MATH 1710, PSYCH 2500, PUBPOL 2100, PUBPOL 2101, SOC 3010, STSCI 2100, STSCI 2150, STSCI 2200. In addition, no credit for MATH 1710 if taken after ECON 3130, ECON 3140, MATH 4720, or any other upper-level course focusing on the statistical sciences

Distribution Requirements (DLS-AG, MQL-AG, OPHLS-AG), (SDS-AS)

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  •  9979 STSCI 2150   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

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

  •  9980 STSCI 2150   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9981 STSCI 2150   DIS 202

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9982 STSCI 2150   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9983 STSCI 2150   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person