Social Statistics (ILRST)Industrial and Labor Relations

Showing 9 results.

Course descriptions provided by the Courses of Study 2022-2023.

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

  • 11117 ILRST 2100   LEC 001

    • TR Ives Hall 305
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person
    Beginning with the first day of classes ILR students must get permission to drop from an advisor in the ILR Office of Student Services.

  • 11125 ILRST 2100   DIS 201

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11126 ILRST 2100   DIS 202

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11127 ILRST 2100   DIS 203

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11128 ILRST 2100   DIS 204

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11129 ILRST 2100   DIS 205

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11430 ILRST 2100   DIS 206

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11130 ILRST 2100   DIS 207

    • F Ives Hall 107
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11131 ILRST 2100   DIS 208

    • F Ives Hall 215
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11132 ILRST 2100   DIS 209

    • F Ives Hall 215
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11133 ILRST 2100   DIS 210

    • F Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11134 ILRST 2100   DIS 211

    • F Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11330 ILRST 2100   DIS 212

    • F Ives Hall 107
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11340 ILRST 2100   DIS 213

    • F Ives Hall 112
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11343 ILRST 2100   DIS 214

    • R Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 11344 ILRST 2100   DIS 215

    • R Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • 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.  Combined with: STSCI 2130

  • 2 Credits GradeNoAud

  • 11644 ILRST 2130   LEC 001

    • MW Ives Hall 105
    • Aug 22 - Oct 7, 2022
    • Das, S

  • Instruction Mode: In Person
    Introductory Statistics or Instructor Approval.

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

  • 11350 ILRST 3080   LEC 001

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

  • 11351 ILRST 3080   DIS 201

    • F Ives Hall 217
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: In Person

  • 11352 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:
  •   Regular Academic Session.  Combined with: BTRY 3100STSCI 3100STSCI 5100

  • 4 Credits Graded

  • 11305 ILRST 3100   LEC 001

    • TR Thurston Hall 203
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

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

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

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Graded

  • 11331 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person
    Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710.

  • 11332 ILRST 3110   DIS 201

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 11416 ILRST 3110   DIS 202

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 11432 ILRST 3110   DIS 203

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 11431 ILRST 3110   DIS 204

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • 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 Stdnt Opt

  • 11471 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

  • 11418 ILRST 5050   LEC 001

    • MW Ives Hall 115
    • Aug 22 - Dec 5, 2022
    • Karns, M

  • Instruction Mode: In Person

  • 11419 ILRST 5050   DIS 211

    • R Ives Hall 115
    • Aug 22 - Dec 5, 2022
    • Karns, M

  • Instruction Mode: In Person

  • 11420 ILRST 5050   DIS 212

    • R Ives Hall 115
    • Aug 22 - Dec 5, 2022
    • Karns, M

  • 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 laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 11209 ILRST 6100   LEC 001

    • TR Warren Hall B25
    • Aug 22 - Dec 5, 2022
    • Wells, M

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

  • 11210 ILRST 6100   LAB 402

  • Instruction Mode: In Person

  • 11211 ILRST 6100   LAB 403

  • Instruction Mode: In Person

  • 11212 ILRST 6100   LAB 404

  • Instruction Mode: In Person

  • 11346 ILRST 6100   LAB 405

  • 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

  • 11345 ILRST 7170   LEC 001

  • Instruction Mode: In Person