Social Statistics (ILRST)Industrial and Labor Relations

Showing 8 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

  • 13447 ILRST 2100   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

    Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the Office of Student Services.

  • 13448 ILRST 2100   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13449 ILRST 2100   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13450 ILRST 2100   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13451 ILRST 2100   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13452 ILRST 2100   DIS 205

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13453 ILRST 2100   DIS 206

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13454 ILRST 2100   DIS 207

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13455 ILRST 2100   DIS 208

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13456 ILRST 2100   DIS 209

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13457 ILRST 2100   DIS 210

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13458 ILRST 2100   DIS 211

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13459 ILRST 2100   DIS 212

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13460 ILRST 2100   DIS 213

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13461 ILRST 2100   DIS 214

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13462 ILRST 2100   DIS 215

    • R
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13463 ILRST 2100   DIS 216

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13464 ILRST 2100   DIS 217

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13465 ILRST 2100   DIS 218

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13466 ILRST 2100   DIS 219

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13467 ILRST 2100   DIS 220

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 13468 ILRST 2100   DIS 221

    • F
    • Jan 20 - May 5, 2026
    • Entner, J

  • 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

  • 13491 ILRST 2110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13492 ILRST 2110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13493 ILRST 2110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13494 ILRST 2110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13495 ILRST 2110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • 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.  Choose one lecture and one project. Combined with: STSCI 2130

  • 2 Credits GradeNoAud

  • 13516 ILRST 2130   LEC 001

    • MW
    • Jan 20 - Mar 10, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13517 ILRST 2130   PRJ 601

    • Jan 20 - Mar 10, 2026
    • Packard, K

  • 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 3080STSCI 5080

  • 4 Credits Stdnt Opt

  • 17182 ILRST 3080   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

  • 17183 ILRST 3080   DIS 201

    • T
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

  • 17184 ILRST 3080   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • El Alaoui, A

  • 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

  •  4670 ILRST 3110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  4671 ILRST 3110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4672 ILRST 3110   DIS 202

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4673 ILRST 3110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

  •  4674 ILRST 3110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Staff

  • Instruction Mode: In Person

ILRST 4100

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100STSCI 4100STSCI 5111

  • 4 Credits Stdnt Opt

  • 17045 ILRST 4100   LEC 001

    • MW
    • Jan 20 - May 5, 2026
    • Yang, D

  • Instruction Mode: In Person

ILRST 4550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5550STSCI 4550STSCI 5550

  • 4 Credits Opt NoAud

  • 17142 ILRST 4550   LEC 001

    • W
    • Jan 20 - May 5, 2026
    • Matteson, D

  • Instruction Mode: In Person

    Prerequisite: STSCI 3080 or MATH 4710, STSCI 4030 or equivalent or permission of instructor.

  • 17143 ILRST 4550   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Matteson, D

  • 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

  • 13506 ILRST 5110   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13507 ILRST 5110   DIS 201

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13508 ILRST 5110   DIS 202

    • R
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13509 ILRST 5110   DIS 203

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person

  • 13510 ILRST 5110   DIS 204

    • F
    • Jan 20 - May 5, 2026
    • Packard, K

  • Instruction Mode: In Person