Social Statistics (ILRST)Industrial and Labor Relations

Showing 10 results.

Course descriptions provided by the 2026-2027 Catalog.

ILRST 2100

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  •  8828 ILRST 2100   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  8829 ILRST 2100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8830 ILRST 2100   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8831 ILRST 2100   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8832 ILRST 2100   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8833 ILRST 2100   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8834 ILRST 2100   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8835 ILRST 2100   DIS 207

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8836 ILRST 2100   DIS 208

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8837 ILRST 2100   DIS 209

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8838 ILRST 2100   DIS 210

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8839 ILRST 2100   DIS 211

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8840 ILRST 2100   DIS 212

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8841 ILRST 2100   DIS 213

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8842 ILRST 2100   DIS 214

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8843 ILRST 2100   DIS 215

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 2110

A second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 5110STSCI 2110STSCI 5110

  • 4 Credits GradeNoAud

  •  8860 ILRST 2110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  8861 ILRST 2110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8862 ILRST 2110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8863 ILRST 2110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8864 ILRST 2110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 3080

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 ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 3080

  • 4 Credits Stdnt Opt

  • 14964 ILRST 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/

  • 14965 ILRST 3080   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: In Person

  • 14966 ILRST 3080   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 3100

Theory and application of statistical sampling, especially in regard to sample design, cost, estimation of population quantities, and error estimation. Assessment of nonsampling errors. Discussion ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 3100STSCI 5100

  • 4 Credits Stdnt Opt

  • 14811 ILRST 3100   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

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

  • 14812 ILRST 3100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

ILRST 3110

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 ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Stdnt Opt

  •  8193 ILRST 3110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8194 ILRST 3110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8195 ILRST 3110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8196 ILRST 3110   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8197 ILRST 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8198 ILRST 3110   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8199 ILRST 3110   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 3900

Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: INFO 3900STSCI 3900

  • 3 Credits Stdnt Opt

  • 15069 ILRST 3900   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

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

  • 15070 ILRST 3900   DIS 201

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15071 ILRST 3900   DIS 202

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15072 ILRST 3900   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15073 ILRST 3900   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15074 ILRST 3900   DIS 205

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

ILRST 4110

Categorical data analysis, including logistic regression, log-linear models, stratified tables, matched pairs analysis, polytomous response, and ordinal data. Applications in biological, biomedical and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4110STSCI 5160

  • 3 Credits Graded

  • 17943 ILRST 4110   LEC 001

    • TR
    • 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/

ILRST 5110

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110STSCI 2110STSCI 5110

  • 4 Credits GradeNoAud

  •  8870 ILRST 5110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  8871 ILRST 5110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8872 ILRST 5110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8873 ILRST 5110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8874 ILRST 5110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 6100

Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 6010

  • 4 Credits Stdnt Opt

  • 14860 ILRST 6100   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

    Enrollment limited to: graduate students or permission of instructor.

  • 14861 ILRST 6100   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14862 ILRST 6100   DIS 202

    • T
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14863 ILRST 6100   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14864 ILRST 6100   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

ILRST 7170

Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 7170STSCI 7170

  • 3 Credits Stdnt Opt

  • 14991 ILRST 7170   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: In Person