Social Statistics (ILRST)Industrial and Labor Relations

Showing 11 results.

Course descriptions provided by the 2016-2017 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

  • 14838 ILRST 2100   LEC 001

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14852 ILRST 2100   DIS 201

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14853 ILRST 2100   DIS 202

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14854 ILRST 2100   DIS 203

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14855 ILRST 2100   DIS 204

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14856 ILRST 2100   DIS 205

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14857 ILRST 2100   DIS 206

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14858 ILRST 2100   DIS 207

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14859 ILRST 2100   DIS 208

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14860 ILRST 2100   DIS 209

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

  • 14861 ILRST 2100   DIS 210

  • Instruction Mode: In Person

    Out of college students please enroll in STSCI 2100.

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

  • 4 Credits GradeNoAud

  • 15062 ILRST 2100   LEC 002

  • Instruction Mode: In Person

  • 15063 ILRST 2100   DIS 220

  • Instruction Mode: In Person

  • 15064 ILRST 2100   DIS 221

  • Instruction Mode: In Person

  • 15065 ILRST 2100   DIS 222

  • Instruction Mode: In Person

  • 15066 ILRST 2100   DIS 223

  • Instruction Mode: In Person

  • 15067 ILRST 2100   DIS 224

  • Instruction Mode: In Person

  • 15068 ILRST 2100   DIS 225

  • Instruction Mode: In Person

  • 15069 ILRST 2100   DIS 226

  • Instruction Mode: In Person

  • 15070 ILRST 2100   DIS 227

  • Instruction Mode: In Person

  • 15071 ILRST 2100   DIS 228

  • Instruction Mode: In Person

  • 15072 ILRST 2100   DIS 229

  • Instruction Mode: In Person

  • 15082 ILRST 2100   DIS 230

  • Instruction Mode: In Person

  • 15083 ILRST 2100   DIS 231

  • Instruction Mode: In Person

  • 15094 ILRST 2100   DIS 232

  • Instruction Mode: In Person

  • 15095 ILRST 2100   DIS 233

  • Instruction Mode: In Person

  • 15096 ILRST 2100   DIS 234

  • 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

  • 14915 ILRST 2110   LEC 001

  • Instruction Mode: In Person

  • 14916 ILRST 2110   DIS 201

  • Instruction Mode: In Person

  • 14917 ILRST 2110   DIS 202

  • Instruction Mode: In Person

  • 14918 ILRST 2110   DIS 203

  • 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

  • 18004 ILRST 3080   LEC 001

  • Instruction Mode: In Person

  • 18005 ILRST 3080   DIS 201

  • 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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110STSCI 3110

  • 4 Credits GradeNoAud

  • 15074 ILRST 3110   LEC 001

  • Instruction Mode: In Person

  • 15075 ILRST 3110   DIS 201

  • Instruction Mode: In Person

  • 15076 ILRST 3110   DIS 202

  • Instruction Mode: In Person

  • 15077 ILRST 3110   DIS 203

  • Instruction Mode: In Person

  • 15078 ILRST 3110   DIS 204

  • 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 4110

  • 4 Credits Graded

  • 15011 ILRST 4110   LEC 001

  • Instruction Mode: 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

  • 15080 ILRST 4140   LEC 001

  • 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 4550

  • 4 Credits Graded

  • 15014 ILRST 4550   LEC 001

  • Instruction Mode: In Person

    Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.

  • 15043 ILRST 4550   DIS 201

  • Instruction Mode: In Person

ILRST 4970

All requests for permission to register for an internship must be approved by the faculty member who will supervise the project and the chairman of the faculty member's academic department before submission ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits GradeNoAud

  • 15084 ILRST 4970   FLD 802

    • TBA
    • Velleman, P

  • 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

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

  • 3 Credits GradeNoAud

  • 14839 ILRST 5110   LEC 001

  • Instruction Mode: In Person

  • 14886 ILRST 5110   DIS 201

  • Instruction Mode: In Person

  • 14887 ILRST 5110   DIS 202

  • Instruction Mode: In Person

  • 14888 ILRST 5110   DIS 203

  • Instruction Mode: In Person

ILRST 5150

Students learn basic skills for conducting qualitative and survey research. They work through an introductory review course at home on their own time. After passing an exam, they attend a two-week immersion ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits GradeNoAud

  • 18421 ILRST 5150   LEC 001

  • Instruction Mode: In Person

    Taught in NYC. Enrollment limited to:students enrolled in the MPS ILR NYC Program.

ILRST 7500

Topics covered will include linear and non-linear, univariate and multivariate time series. Depending on interest, additional topics may include spatio-temporal modeling, seasonal modeling, spectral analysis, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 7500

  • 3 Credits Graded

  • 17887 ILRST 7500   LEC 001

  • Instruction Mode: In Person