Social Statistics (ILRST)Industrial and Labor Relations

Showing 12 results.

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

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

  •  8056 ILRST 2100   LEC 001

    • TR Ives Hall 305
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8063 ILRST 2100   DIS 201

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8064 ILRST 2100   DIS 202

    • F Ives Hall 109
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8065 ILRST 2100   DIS 203

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8066 ILRST 2100   DIS 204

    • F Ives Hall 116
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8067 ILRST 2100   DIS 205

    • F Ives Hall 215
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8308 ILRST 2100   DIS 206

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8068 ILRST 2100   DIS 207

  • Instruction Mode: In Person

  •  8069 ILRST 2100   DIS 208

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8070 ILRST 2100   DIS 209

    • F Ives Hall 116
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8071 ILRST 2100   DIS 210

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8072 ILRST 2100   DIS 211

    • F Ives Hall 109
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8243 ILRST 2100   DIS 212

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8248 ILRST 2100   DIS 213

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8251 ILRST 2100   DIS 214

    • R Uris Hall 302
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  8252 ILRST 2100   DIS 215

    • R Uris Hall G24
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • 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

  • 18539 ILRST 2110   LEC 001

    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 18542 ILRST 2110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 18549 ILRST 2110   DIS 202

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 18551 ILRST 2110   DIS 203

  • Instruction Mode: In Person

  • 18554 ILRST 2110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • 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 - Second.  Choose one lecture and one project. Combined with: STSCI 2130

  • 2 Credits GradeNoAud

  • 12748 ILRST 2130   LEC 001

    • MW
    • Nov 4 - Dec 9, 2024
    • Karns, M

  • Instruction Mode: In Person
    Prerequisite: introductory statistics or permission of instructor.

  • 12968 ILRST 2130   PRJ 601

    • TBA
    • Oct 16 - Dec 9, 2024
    • 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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080STSCI 3080

  • 4 Credits Stdnt Opt

  •  8258 ILRST 3080   LEC 001

    • TR Olin Hall 255
    • Aug 26 - Dec 9, 2024
    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisite: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  •  8259 ILRST 3080   DIS 201

  • Instruction Mode: In Person

  •  8260 ILRST 3080   DIS 202

  • 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: BTRY 3100STSCI 3100STSCI 5100

  • 4 Credits Stdnt Opt

  •  8227 ILRST 3100   LEC 001

  • Instruction Mode: In Person
    Prerequisite: two semesters of statistics.

  • 11544 ILRST 3100   DIS 201

    • F Warren Hall 151
    • Aug 26 - Dec 9, 2024
    • 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 Graded

  •  8244 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person
    Prerequisite: MATH 1110 or equivalent.

  •  8245 ILRST 3110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8298 ILRST 3110   DIS 202

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8310 ILRST 3110   DIS 203

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  8309 ILRST 3110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • 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

  • 19930 ILRST 3900   LEC 001

    • TR Phillips Hall 101
    • Aug 26 - Dec 9, 2024
    • 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/

  • 19931 ILRST 3900   DIS 201

    • W Hollister Hall 314
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19932 ILRST 3900   DIS 202

    • W Hollister Hall 368
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19933 ILRST 3900   DIS 203

    • W Hollister Hall 312
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19934 ILRST 3900   DIS 204

  • Instruction Mode: In Person

  • 19935 ILRST 3900   DIS 205

    • W Hollister Hall 368
    • Aug 26 - Dec 9, 2024
    • 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

  •  8327 ILRST 4110   LEC 001

  • Instruction Mode: In Person

ILRST 5050

This course introduces MILR students to the critical analysis process involved in social science research and practice in the workplace. The uses of analytics, particularly in workforce development will ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  •  8300 ILRST 5050   LEC 001

    • MW Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Karns, M

  • Instruction Mode: In Person

  •  8301 ILRST 5050   DIS 211

    • R Ives Hall 109
    • Aug 26 - Dec 9, 2024
    • Karns, M

  • Instruction Mode: In Person

  •  8302 ILRST 5050   DIS 212

  • 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

  • 21094 ILRST 5110   LEC 001

    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 21095 ILRST 5110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 21096 ILRST 5110   DIS 202

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 21097 ILRST 5110   DIS 203

  • Instruction Mode: In Person

  • 21098 ILRST 5110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • 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

  •  8142 ILRST 6100   LEC 001

    • TR Warren Hall B25
    • Aug 26 - Dec 9, 2024
    • Kent, D

  • Instruction Mode: In Person
    Enrollment limited to: graduate students or permission of instructor.

  •  8143 ILRST 6100   DIS 202

  • Instruction Mode: In Person

  •  8144 ILRST 6100   DIS 203

  • Instruction Mode: In Person

  •  8145 ILRST 6100   DIS 204

  • Instruction Mode: In Person

  •  8254 ILRST 6100   DIS 205

  • 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

  •  8253 ILRST 7170   LEC 001

    • TR Ives Hall 103
    • Aug 26 - Dec 9, 2024
    • Booth, J

  • Instruction Mode: In Person