Social Statistics (ILRST)Industrial and Labor Relations

Showing 9 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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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2100

  • 4 Credits GradeNoAud

  • 13241 ILRST 2100   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13249 ILRST 2100   DIS 201

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13250 ILRST 2100   DIS 202

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13251 ILRST 2100   DIS 203

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13252 ILRST 2100   DIS 204

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13253 ILRST 2100   DIS 205

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13588 ILRST 2100   DIS 206

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13254 ILRST 2100   DIS 207

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13255 ILRST 2100   DIS 208

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13256 ILRST 2100   DIS 209

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13257 ILRST 2100   DIS 210

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13258 ILRST 2100   DIS 211

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13456 ILRST 2100   DIS 212

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13466 ILRST 2100   DIS 213

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13470 ILRST 2100   DIS 214

    • R Online Meeting
    • Sep 2 - Dec 16, 2020
    • Packard, K

  • Instruction Mode: Online

  • 13471 ILRST 2100   DIS 215

    • R Online Meeting
    • 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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Syllabi:
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 13722 ILRST 2130   LEC 001

    • TR Online Meeting
    • Sep 2 - Oct 20, 2020
    • Karns, M

  • Instruction Mode: Online
    Introductory Statistics or Instructor Approval.

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits GradeNoAud

  • 19398 ILRST 2130   LEC 002

    • TR Online Meeting
    • Oct 21 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online
    Introductory Statistics or Instructor Approval.

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

  • 13480 ILRST 3080   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Online
    Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.

  • 13481 ILRST 3080   DIS 201

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Online

  • 13482 ILRST 3080   DIS 202

    • M Online Meeting
    • Sep 2 - Dec 16, 2020
    • Bunea, F

  • Instruction Mode: Online

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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Syllabi:
  •   Regular Academic Session.  Combined with: BTRY 3100STSCI 3100

  • 4 Credits Graded

  • 13430 ILRST 3100   LEC 001

    • TR Online Meeting
    • 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

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

  • 4 Credits Graded

  • 13457 ILRST 3110   LEC 001

    • MW Online Meeting
    • 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.

  • 13458 ILRST 3110   DIS 201

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 13564 ILRST 3110   DIS 202

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

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

  • 4 Credits Graded

  • 17915 ILRST 3110   LEC 002

    • MW Online Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 13459 ILRST 3110   DIS 221

    • F Online Meeting
    • Sep 2 - Dec 16, 2020
    • Diciccio, T

  • Instruction Mode: Online

  • 17018 ILRST 3110   DIS 222

    • F Online Meeting
    • 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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110STSCI 4110

  • 3 Credits Stdnt Opt

  • 17941 ILRST 4110   LEC 001

  • Instruction Mode: Hybrid-Online and In Person
    Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

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

  • 3 Credits Stdnt Opt

  • 21338 ILRST 4110   LEC 002

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Smith, M

  • Instruction Mode: Online
    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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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  • 13567 ILRST 5050   LEC 001

    • MW Online Meeting
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

  • 13568 ILRST 5050   DIS 212

    • R Online Meeting
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

  • 13570 ILRST 5050   DIS 213

    • W Online Meeting
    • Sep 2 - Dec 16, 2020
    • Karns, M

  • Instruction Mode: Online

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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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6010

  • 4 Credits Stdnt Opt

  • 13333 ILRST 6100   LEC 001

    • TR Online Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

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

  • 13334 ILRST 6100   LAB 402

    • T Online Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13335 ILRST 6100   LAB 403

    • T Online Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13336 ILRST 6100   LAB 404

    • W Online Meeting
    • Sep 2 - Dec 16, 2020
    • Basu, S

  • Instruction Mode: Online

  • 13473 ILRST 6100   LAB 405

    • T Online Meeting
    • 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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Syllabi:
  •   Regular Academic Session.  Combined with: ORIE 7170STSCI 7170

  • 3 Credits Stdnt Opt

  • 13472 ILRST 7170   LEC 001

    • MW Online Meeting
    • Sep 2 - Dec 16, 2020
    • Booth, J

  • Instruction Mode: Online