Social Statistics (ILRST)Industrial and Labor Relations

Showing 10 results.

Course descriptions provided by the Courses of Study 2020-2021.

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

  • 4 Credits GradeNoAud

  • 13241ILRST 2100  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13249ILRST 2100  DIS 201

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13250ILRST 2100  DIS 202

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13251ILRST 2100  DIS 203

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13252ILRST 2100  DIS 204

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13253ILRST 2100  DIS 205

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13588ILRST 2100  DIS 206

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13254ILRST 2100  DIS 207

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13255ILRST 2100  DIS 208

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13256ILRST 2100  DIS 209

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13257ILRST 2100  DIS 210

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13258ILRST 2100  DIS 211

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13456ILRST 2100  DIS 212

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13466ILRST 2100  DIS 213

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13470ILRST 2100  DIS 214

    • RTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13471ILRST 2100  DIS 215

    • RTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

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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Enrollment Information
Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 13722ILRST 2130  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Oct 20, 2020
    • Karns, M

  • Instruction Mode: Online
    Introductory Statistics or Instructor Approval.

Enrollment Information
Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits GradeNoAud

  • 19398ILRST 2130  LEC 002

    • TBA
    • Oct 21 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

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

  • 4 Credits Stdnt Opt

  • 13480ILRST 3080  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Hybrid-Online and In Person
    Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  • 13481ILRST 3080  DIS 201

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Hybrid-Online and In Person

  • 13482ILRST 3080  DIS 202

    • MTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Hybrid-Online and In Person

ILRST 3100

Theory and application of statistical sampling, especially in regard to sample design, cost, estimation of population quantities, and error estimation. Assessment of nonsampling errors. Discussion ... view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 3100STSCI 3100

  • 4 Credits Graded

  • 13430ILRST 3100  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online
    Prerequisite: two semesters of statistics.

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

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

  • 4 Credits GradeNoAud

  • 13457ILRST 3110  LEC 001

    • MWTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online
    Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710.

  • 13458ILRST 3110  DIS 201

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 13564ILRST 3110  DIS 202

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

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

  • 4 Credits GradeNoAud

  • 17915ILRST 3110  LEC 002

    • MWTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 13459ILRST 3110  DIS 221

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 17018ILRST 3110  DIS 222

    • FTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

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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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110STSCI 4110

  • 3 Credits Stdnt Opt

  • 17941ILRST 4110  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Smith, M

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

ILRST 5050

This course introduces MILR students to the critical analysis process involved in social science research and practice in the workplace. The uses of analytics, particularly in workforce development will ... view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  • 13567ILRST 5050  LEC 001

    • MWTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online
    This course introduces MILR students to the critical analysis process involved in social science research and practice in the workplace. The uses of analytics, particularly in workforce development will be explored through a combination of statistical methods and application to case studies. Students will distinguish the stages of analytics, develop data summaries and evaluate the results with statistical tests. The hypothesis testing method and statistical decision-making will be reviewed. Statistical methods will include t-tests, chi-squares, regression models (linear, multiple, and logistic). Statistical software will be used (SPSS or Minitab). Interpretation and understanding of results is emphasized through writing frequent, short data analysis reports with graphic representation of the results.

  • 13569ILRST 5050  DIS 211

    • RTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

  • 13568ILRST 5050  DIS 212

    • RTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

  • 13570ILRST 5050  DIS 213

    • RTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

ILRST 5155

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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Enrollment Information
Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 19083ILRST 5155  LEC 001

    • TBA
    • Aug 15 - Sep 4, 2020
    • Karns, M

  • Instruction Mode: Online
    Enrollment limited to students enrolled in the ILR MPS NYC program.

ILRST 6100

Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for ... view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 13333ILRST 6100  LEC 001

    • TRTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online
    Enrollment limited to: graduate students or permission of instructor.

  • 13334ILRST 6100  LAB 402

    • TTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13335ILRST 6100  LAB 403

    • TTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13336ILRST 6100  LAB 404

    • WTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13473ILRST 6100  LAB 405

    • TTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

ILRST 7170

Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 7170STSCI 7170

  • 3 Credits Stdnt Opt

  • 13472ILRST 7170  LEC 001

    • MWTo Be Assigned
    • Sep 2 - Dec 16, 2020
    • Booth, J

  • Instruction Mode: Online