Social Statistics (ILRST)Industrial and Labor Relations

Showing 9 results.

Course descriptions provided by the 2025-2026 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

  •  5366 ILRST 2100   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5373 ILRST 2100   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5374 ILRST 2100   DIS 202

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5375 ILRST 2100   DIS 203

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5376 ILRST 2100   DIS 204

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5377 ILRST 2100   DIS 205

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5498 ILRST 2100   DIS 206

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5378 ILRST 2100   DIS 207

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5379 ILRST 2100   DIS 208

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5380 ILRST 2100   DIS 209

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5381 ILRST 2100   DIS 210

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5382 ILRST 2100   DIS 211

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5442 ILRST 2100   DIS 212

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5447 ILRST 2100   DIS 213

    • F
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5448 ILRST 2100   DIS 214

    • R
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  5449 ILRST 2100   DIS 215

    • R
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • 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

  •  8295 ILRST 2110   LEC 001

    • MW
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  8298 ILRST 2110   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  8305 ILRST 2110   DIS 202

    • F
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  8307 ILRST 2110   DIS 203

    • R
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  8310 ILRST 2110   DIS 204

    • F
    • Aug 25 - Dec 8, 2025
    • 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: BTRY 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  5454 ILRST 3080   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Bunea, F

  • Instruction Mode: In Person

    Prerequisite: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  •  5455 ILRST 3080   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Bunea, F

  • Instruction Mode: In Person

  •  5456 ILRST 3080   DIS 202

    • M
    • Aug 25 - Dec 8, 2025
    • Bunea, F

  • 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 Graded

  •  3306 ILRST 3110   LEC 001

    • MW
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person

    Prerequisite: MATH 1110 or equivalent.

  •  3307 ILRST 3110   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person

  •  3876 ILRST 3110   DIS 202

    • F
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person

  •  3944 ILRST 3110   DIS 203

    • F
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • Instruction Mode: In Person

  •  3945 ILRST 3110   DIS 204

    • F
    • Aug 25 - Dec 8, 2025
    • Diciccio, T

  • 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

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

  • 3 Credits Stdnt Opt

  •  9348 ILRST 3900   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      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/

  •  9349 ILRST 3900   DIS 201

    • W
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  •  9350 ILRST 3900   DIS 202

    • W
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  •  9351 ILRST 3900   DIS 203

    • W
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  •  9352 ILRST 3900   DIS 204

    • W
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  •  9353 ILRST 3900   DIS 205

    • W
    • Aug 25 - Dec 8, 2025
    • Cortez-Rodriguez, M

      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

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

  • 3 Credits Graded

  •  5513 ILRST 4110   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Smith, M

  • Instruction Mode: In Person

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

  •  9872 ILRST 5110   LEC 001

    • MW
    • Aug 25 - Dec 8, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  9873 ILRST 5110   DIS 201

    • F
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  9874 ILRST 5110   DIS 202

    • F
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  9875 ILRST 5110   DIS 203

    • R
    • Aug 25 - Dec 8, 2025
    • Staff

  • Instruction Mode: In Person

  •  9876 ILRST 5110   DIS 204

    • F
    • Aug 25 - Dec 8, 2025
    • 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

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

  • 4 Credits Stdnt Opt

  •  5415 ILRST 6100   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

    Enrollment limited to: graduate students or permission of instructor.

  •  5416 ILRST 6100   DIS 201

    • T
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  5417 ILRST 6100   DIS 202

    • T
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  5418 ILRST 6100   DIS 203

    • W
    • Aug 25 - Dec 8, 2025
    • Kent, D

  • Instruction Mode: In Person

  •  5451 ILRST 6100   DIS 204

    • W
    • Aug 25 - Dec 8, 2025
    • 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

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

  • 3 Credits Opt NoAud

  •  5450 ILRST 7170   LEC 001

    • TR
    • Aug 25 - Dec 8, 2025
    • Yang, D

  • Instruction Mode: In Person