Social Statistics (ILRST)Industrial and Labor Relations

Showing 8 results.

Course descriptions provided by the Courses of Study 2021-2022.

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

  • 12027 ILRST 2100   LEC 001

  • 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.

  • 12036 ILRST 2100   DIS 201

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12037 ILRST 2100   DIS 202

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12038 ILRST 2100   DIS 203

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12039 ILRST 2100   DIS 204

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12040 ILRST 2100   DIS 205

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12041 ILRST 2100   DIS 206

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12042 ILRST 2100   DIS 207

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12043 ILRST 2100   DIS 208

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12044 ILRST 2100   DIS 209

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12045 ILRST 2100   DIS 210

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12239 ILRST 2100   DIS 212

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12240 ILRST 2100   DIS 213

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12241 ILRST 2100   DIS 214

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12314 ILRST 2100   DIS 215

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12296 ILRST 2100   DIS 216

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12297 ILRST 2100   DIS 217

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12315 ILRST 2100   DIS 218

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person
    .

  • 12298 ILRST 2100   DIS 219

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person
    .

  • 12222 ILRST 2100   DIS 220

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12223 ILRST 2100   DIS 221

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12224 ILRST 2100   DIS 222

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12225 ILRST 2100   DIS 223

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12226 ILRST 2100   DIS 224

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 12227 ILRST 2100   DIS 225

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • 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

  • 3 Credits GradeNoAud

  • 12096 ILRST 2110   LEC 001

    • TR Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12097 ILRST 2110   DIS 201

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12098 ILRST 2110   DIS 202

    • R Ives Hall 116
    • Jan 24 - May 10, 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 - Second. 

  • 2 Credits GradeNoAud

  • 12627 ILRST 2130   LEC 001

    • MW Ives Hall 112
    • Mar 16 - May 10, 2022
    • Das, S

  • 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

  • 12287 ILRST 3080   LEC 001

    • MW Malott Hall 253
    • Jan 24 - May 10, 2022
    • El Alaoui, A

  • Instruction Mode: In Person

  • 12288 ILRST 3080   DIS 201

    • T Ives Hall 219
    • Jan 24 - May 10, 2022
    • El Alaoui, A

  • Instruction Mode: In Person

  • 12289 ILRST 3080   DIS 202

    • R Ives Hall 219
    • Jan 24 - May 10, 2022
    • 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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits Graded

  • 12228 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12229 ILRST 3110   DIS 201

    • R Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12230 ILRST 3110   DIS 202

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12231 ILRST 3110   DIS 203

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12232 ILRST 3110   DIS 204

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

ILRST 4140

This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140STSCI 4140STSCI 5140

  • 4 Credits Stdnt Opt

  • 12234 ILRST 4140   LEC 001

    • MW Ives Hall 219
    • Jan 24 - May 10, 2022
    • Booth, J

  • 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 Stdnt Opt

  • 12318 ILRST 4550   LEC 001

  • Instruction Mode: In Person

  • 12319 ILRST 4550   DIS 201

  • 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

  • 3 Credits GradeNoAud

  • 12028 ILRST 5110   LEC 001

    • TR Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12069 ILRST 5110   DIS 201

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 12070 ILRST 5110   DIS 202

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person