Social Statistics (ILRST)Industrial and Labor Relations

Showing 10 results.

Course descriptions provided by the Courses of Study 2017-2018.

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

  • 13885 ILRST 2100   LEC 001

  • Out of college students please enroll in STSCI 2100.

  • 13897 ILRST 2100   DIS 201

  • Out of college students please enroll in STSCI 2100.

  • 13898 ILRST 2100   DIS 202

  • Out of college students please enroll in STSCI 2100.

  • 13899 ILRST 2100   DIS 203

  • Out of college students please enroll in STSCI 2100.

  • 13900 ILRST 2100   DIS 204

  • Out of college students please enroll in STSCI 2100.

  • 13901 ILRST 2100   DIS 205

  • Out of college students please enroll in STSCI 2100.

  • 13902 ILRST 2100   DIS 206

  • Out of college students please enroll in STSCI 2100.

  • 13903 ILRST 2100   DIS 207

  • Out of college students please enroll in STSCI 2100.

  • 13904 ILRST 2100   DIS 208

  • Out of college students please enroll in STSCI 2100.

  • 13905 ILRST 2100   DIS 209

  • Out of college students please enroll in STSCI 2100.

  • 13906 ILRST 2100   DIS 210

  • 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

  • 14101 ILRST 2100   LEC 002

  • 14102 ILRST 2100   DIS 220

  • 14103 ILRST 2100   DIS 221

  • 14104 ILRST 2100   DIS 222

  • 14105 ILRST 2100   DIS 223

  • 14106 ILRST 2100   DIS 224

  • 14107 ILRST 2100   DIS 225

  • 14108 ILRST 2100   DIS 226

  • 14109 ILRST 2100   DIS 227

  • 14110 ILRST 2100   DIS 228

  • 14111 ILRST 2100   DIS 229

  • 14119 ILRST 2100   DIS 230

  • 14120 ILRST 2100   DIS 231

  • 14128 ILRST 2100   DIS 232

  • 14129 ILRST 2100   DIS 233

  • 14130 ILRST 2100   DIS 234

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

  • 13960 ILRST 2110   LEC 001

  • 13961 ILRST 2110   DIS 201

  • 13962 ILRST 2110   DIS 202

  • 13963 ILRST 2110   DIS 203

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

  • 17176 ILRST 2130   LEC 001

    • TR Ives Hall 118
    • Mar 19 - May 9, 2018
    • Gilbert, D

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

  • 17860 ILRST 3080   LEC 001

  • 17861 ILRST 3080   DIS 201

  • 17862 ILRST 3080   DIS 202

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

  • 14112 ILRST 3110   LEC 001

  • 14113 ILRST 3110   DIS 201

  • 14114 ILRST 3110   DIS 202

  • 14115 ILRST 3110   DIS 203

  • 14116 ILRST 3110   DIS 204

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

  • 14055 ILRST 4110   LEC 001

  • 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

  • 14118 ILRST 4140   LEC 001

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

  • 14057 ILRST 4550   LEC 001

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

  • 14083 ILRST 4550   DIS 201

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

  • 13886 ILRST 5110   LEC 001

  • 13931 ILRST 5110   DIS 201

  • 13932 ILRST 5110   DIS 202

  • 13933 ILRST 5110   DIS 203

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

  • 14230 ILRST 5150   LEC 001

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