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

  •  3454 ILRST 2100   LEC 001

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

  • Instruction Mode: In Person

  •  3455 ILRST 2100   DIS 201

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

  • Instruction Mode: In Person

  •  3456 ILRST 2100   DIS 202

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

  • Instruction Mode: In Person

  •  3457 ILRST 2100   DIS 203

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

  • Instruction Mode: In Person

  •  3458 ILRST 2100   DIS 204

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

  • Instruction Mode: In Person

  •  3459 ILRST 2100   DIS 205

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

  • Instruction Mode: In Person

  •  3460 ILRST 2100   DIS 206

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

  • Instruction Mode: In Person

  •  3461 ILRST 2100   DIS 207

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

  • Instruction Mode: In Person

  •  3462 ILRST 2100   DIS 208

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

  • Instruction Mode: In Person

  •  3463 ILRST 2100   DIS 209

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

  • Instruction Mode: In Person

  •  3464 ILRST 2100   DIS 210

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

  • Instruction Mode: In Person

  •  3465 ILRST 2100   DIS 211

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

  • Instruction Mode: In Person

  •  3466 ILRST 2100   DIS 212

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

  • Instruction Mode: In Person

  •  3467 ILRST 2100   DIS 214

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

  • Instruction Mode: In Person

  •  3468 ILRST 2100   DIS 215

    • R
    • Aug 24 - Dec 7, 2026
    • 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

  •  3484 ILRST 2110   LEC 001

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

  • Instruction Mode: In Person

  •  3485 ILRST 2110   DIS 201

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

  • Instruction Mode: In Person

  •  3486 ILRST 2110   DIS 202

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

  • Instruction Mode: In Person

  •  3487 ILRST 2110   DIS 203

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

  • Instruction Mode: In Person

  •  3488 ILRST 2110   DIS 204

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

  • Instruction Mode: In Person

ILRST 2130

This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, ... view course details

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Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 2130

  • 2 Credits GradeNoAud

  •  3509 ILRST 2130   LEC 001

    • MW
    • Aug 24 - Oct 9, 2026
    • Karns, M

  • Instruction Mode: In Person

  •  3510 ILRST 2130   PRJ 601

    • Aug 24 - Oct 9, 2026
    • Karns, M

  • 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

  •  9954 ILRST 3080   LEC 001

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

  • Instruction Mode: In Person

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

  •  9955 ILRST 3080   DIS 201

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

  • Instruction Mode: In Person

  •  9956 ILRST 3080   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • 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

  •  3125 ILRST 3110   LEC 001

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

  • Instruction Mode: In Person

    Prerequisite: MATH 1110 or equivalent.

  •  3126 ILRST 3110   DIS 201

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

  • Instruction Mode: In Person

  •  3127 ILRST 3110   DIS 202

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

  • Instruction Mode: In Person

  •  3128 ILRST 3110   DIS 203

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

  • Instruction Mode: In Person

  •  3129 ILRST 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • 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

  • 10063 ILRST 3900   LEC 001

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

      Yu, C

  • Instruction Mode: In Person

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

  • 10064 ILRST 3900   DIS 201

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

      Yu, C

  • Instruction Mode: In Person

  • 10065 ILRST 3900   DIS 202

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

      Yu, C

  • Instruction Mode: In Person

  • 10066 ILRST 3900   DIS 203

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

      Yu, C

  • Instruction Mode: In Person

  • 10067 ILRST 3900   DIS 204

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

      Yu, C

  • Instruction Mode: In Person

  • 10068 ILRST 3900   DIS 205

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

      Yu, C

  • 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

  •  9914 ILRST 4110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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

  •  3499 ILRST 5110   LEC 001

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

  • Instruction Mode: In Person

  •  3500 ILRST 5110   DIS 201

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

  • Instruction Mode: In Person

  •  3501 ILRST 5110   DIS 202

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

  • Instruction Mode: In Person

  •  3502 ILRST 5110   DIS 203

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

  • Instruction Mode: In Person

  •  3503 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

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

  • 4 Credits Stdnt Opt

  •  9847 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.

  •  9848 ILRST 6100   DIS 201

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

  • Instruction Mode: In Person

  •  9849 ILRST 6100   DIS 202

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

  • Instruction Mode: In Person

  •  9850 ILRST 6100   DIS 203

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

  • Instruction Mode: In Person

  •  9851 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

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

  • 3 Credits Stdnt Opt

  •  9978 ILRST 7170   LEC 001

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

  • Instruction Mode: In Person