STSCI 2150

STSCI 2150

Course information provided by the Courses of Study 2024-2025.

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.

When Offered Fall, Spring.

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, BTRY 3010, BTRY 6010, 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.

Distribution Category (SDS-AS) (MQL-AG, OPHLS-AG)

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  6882 STSCI 2150   LEC 001

    • MWF Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person
    For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  6986 STSCI 2150   DIS 201

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6883 STSCI 2150   DIS 202

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6884 STSCI 2150   DIS 203

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6885 STSCI 2150   DIS 204

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person