Social Statistics (ILRST)Industrial and Labor Relations

Showing 8 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  • 10978 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.

  • 10987 ILRST 2100   DIS 201

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10988 ILRST 2100   DIS 202

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10989 ILRST 2100   DIS 203

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10990 ILRST 2100   DIS 204

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10991 ILRST 2100   DIS 205

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10992 ILRST 2100   DIS 206

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10993 ILRST 2100   DIS 207

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10994 ILRST 2100   DIS 208

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10995 ILRST 2100   DIS 209

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10996 ILRST 2100   DIS 210

    • R Ives Hall 112
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11182 ILRST 2100   DIS 212

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11183 ILRST 2100   DIS 213

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11184 ILRST 2100   DIS 214

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11249 ILRST 2100   DIS 215

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11235 ILRST 2100   DIS 216

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11236 ILRST 2100   DIS 217

    • F Ives Hall 219
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11250 ILRST 2100   DIS 218

    • R Ives Hall 108
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person
    .

  • 11237 ILRST 2100   DIS 219

    • R Ives Hall 112
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person
    .

  • 11166 ILRST 2100   DIS 220

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11167 ILRST 2100   DIS 221

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11168 ILRST 2100   DIS 222

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11169 ILRST 2100   DIS 223

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11170 ILRST 2100   DIS 224

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 11171 ILRST 2100   DIS 225

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 5110STSCI 2110STSCI 5110

  • 3 Credits GradeNoAud

  • 11047 ILRST 2110   LEC 001

    • TR Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11048 ILRST 2110   DIS 201

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11049 ILRST 2110   DIS 202

    • R Ives Hall 116
    • Jan 23 - May 9, 2023
    • 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

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 2130

  • 2 Credits GradeNoAud

  • 11730 ILRST 2130   LEC 001

    • TR Ives Hall 215
    • Mar 15 - May 9, 2023
    • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080STSCI 3080STSCI 5080

  • 4 Credits Stdnt Opt

  • 11228 ILRST 3080   LEC 001

    • MW Warren Hall 175
    • Jan 23 - May 9, 2023
    • El Alaoui, A

  • Instruction Mode: In Person

  • 11229 ILRST 3080   DIS 201

  • Instruction Mode: In Person

  • 11230 ILRST 3080   DIS 202

  • 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

  • 11172 ILRST 3110   LEC 001

    • MW Ives Hall 105
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11173 ILRST 3110   DIS 201

    • R Ives Hall 111
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11174 ILRST 3110   DIS 202

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11175 ILRST 3110   DIS 203

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11176 ILRST 3110   DIS 204

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

ILRST 4100

No description available. view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 18852 ILRST 4100   LEC 001

    • MW To Be Assigned
    • Jan 23 - May 9, 2023
    • 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

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5550STSCI 4550STSCI 5550

  • 4 Credits Stdnt Opt

  • 11251 ILRST 4550   LEC 001

  • Instruction Mode: In Person

  • 11252 ILRST 4550   DIS 201

    • F Warren Hall 151
    • Jan 23 - May 9, 2023
    • Krampe, J

  • 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

  • 10979 ILRST 5110   LEC 001

    • TR Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11020 ILRST 5110   DIS 201

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  • 11021 ILRST 5110   DIS 202

    • R Ives Hall 116
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person