Social Statistics (ILRST)Industrial and Labor Relations

Showing 10 results.

Course descriptions provided by the Courses of Study 2019-2020.

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 Opt NoAud

  • 13964 ILRST 2100   LEC 001

  • Instruction Mode: Hybrid - Online & In Person

  • 13975 ILRST 2100   DIS 201

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13976 ILRST 2100   DIS 202

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13977 ILRST 2100   DIS 203

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13978 ILRST 2100   DIS 204

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13979 ILRST 2100   DIS 205

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13980 ILRST 2100   DIS 206

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13981 ILRST 2100   DIS 207

    • F Ives Hall 215
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13982 ILRST 2100   DIS 208

    • F Ives Hall 215
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13983 ILRST 2100   DIS 209

    • F Ives Hall 215
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 13984 ILRST 2100   DIS 210

    • F Ives Hall 215
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14190 ILRST 2100   DIS 211

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14196 ILRST 2100   DIS 212

    • F Ives Hall 111
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14197 ILRST 2100   DIS 213

    • F Ives Hall 116
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14198 ILRST 2100   DIS 214

    • F Ives Hall 116
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 18362 ILRST 2100   DIS 215

    • R Ives Hall 116
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14313 ILRST 2100   DIS 216

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14314 ILRST 2100   DIS 217

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 18363 ILRST 2100   DIS 218

    • R Ives Hall 107
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14315 ILRST 2100   DIS 219

    • F Ives Hall 103
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14172 ILRST 2100   DIS 220

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14173 ILRST 2100   DIS 221

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14174 ILRST 2100   DIS 222

    • F Ives Hall 217
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14175 ILRST 2100   DIS 223

    • F Ives Hall 217
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14176 ILRST 2100   DIS 224

    • F Ives Hall 217
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14177 ILRST 2100   DIS 225

    • F Ives Hall 217
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14178 ILRST 2100   DIS 226

    • F Ives Hall 217
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14180 ILRST 2100   DIS 228

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14181 ILRST 2100   DIS 229

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & In Person

  • 14189 ILRST 2100   DIS 230

    • F Ives Hall 107
    • Jan 21 - May 5, 2020
    • Karns, M

  • Instruction Mode: Hybrid - Online & 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 Opt NoAud

  • 14038 ILRST 2110   LEC 001

    • TR Ives Hall 217
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14039 ILRST 2110   DIS 201

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14040 ILRST 2110   DIS 202

    • R Ives Hall 107
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14041 ILRST 2110   DIS 203

    • F Ives Hall 109
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & 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. 

  • 2 Credits GradeNoAud

  • 14744 ILRST 2130   LEC 001

    • TR Ives Hall 118A
    • Jan 21 - Mar 10, 2020
    • Wells, M

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

  • 14260 ILRST 3080   LEC 001

    • MW Olin Hall 165
    • Jan 21 - May 5, 2020
    • Bunea, F

  • Instruction Mode: Hybrid - Online & In Person

  • 14261 ILRST 3080   DIS 201

  • Instruction Mode: Hybrid - Online & In Person

  • 14262 ILRST 3080   DIS 202

  • Instruction Mode: Hybrid - Online & 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

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

  • 4 Credits Opt NoAud

  • 14182 ILRST 3110   LEC 001

    • TR Ives Hall 105
    • Jan 21 - May 5, 2020
    • Diciccio, T

  • Instruction Mode: Hybrid - Online & In Person

  • 14183 ILRST 3110   DIS 201

    • R Ives Hall 108
    • Jan 21 - May 5, 2020
    • Diciccio, T

  • Instruction Mode: Hybrid - Online & In Person

  • 14184 ILRST 3110   DIS 202

    • F Ives Hall 109
    • Jan 21 - May 5, 2020
    • Diciccio, T

  • Instruction Mode: Hybrid - Online & In Person

  • 14185 ILRST 3110   DIS 203

    • F Ives Hall 109
    • Jan 21 - May 5, 2020
    • Diciccio, T

  • Instruction Mode: Hybrid - Online & In Person

  • 14186 ILRST 3110   DIS 204

    • F Ives Hall 109
    • Jan 21 - May 5, 2020
    • Diciccio, T

  • Instruction Mode: Hybrid - Online & 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:
  •   Regular Academic Session.  Combined with: BTRY 4110STSCI 4110

  • 3 Credits Stdnt Opt

  • 14129 ILRST 4110   LEC 001

  • Instruction Mode: Hybrid - Online & In Person
    Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.

ILRST 4140

Applications of experimental design including split plots, incomplete blocks, and fractional factorials. Stresses use of the computer for both design and analysis, with emphasis on solving real ... view course details

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

  • 4 Credits Stdnt Opt

  • 14188 ILRST 4140   LEC 001

    • MW Ives Hall 217
    • Jan 21 - May 5, 2020
    • Bunge, J

  • Instruction Mode: Hybrid - Online & 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 4550

  • 4 Credits Stdnt Opt

  • 14130 ILRST 4550   LEC 001

  • Instruction Mode: Hybrid - Online & In Person
    Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.

  • 14155 ILRST 4550   DIS 201

    • F Olin Hall 245
    • Jan 21 - May 5, 2020
    • Jauch, M

  • Instruction Mode: Hybrid - Online & 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 Opt NoAud

  • 13965 ILRST 5110   LEC 001

    • TR Ives Hall 217
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14009 ILRST 5110   DIS 201

    • F Ives Hall 219
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14010 ILRST 5110   DIS 202

    • R Ives Hall 107
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

  • 14011 ILRST 5110   DIS 203

    • F Ives Hall 109
    • Jan 21 - May 5, 2020
    • Packard, K

  • Instruction Mode: Hybrid - Online & In Person

ILRST 5175

When used properly, data can be used to make larger statements about the bigger world. We use statistics to unlock patterns that are not apparent on the surface and rely on them to determine everything ... view course details

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Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 19009 ILRST 5175   LEC 001

    • TBA ILR in NYC
    • Jan 10 - Jan 23, 2020
    • Karns, M

  • Taught in NYC.