Social Statistics (ILRST)Industrial and Labor Relations

Showing 15 results.

Course descriptions provided by the Courses of Study 2014-2015.

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 Graded

  • 14841 ILRST 2100   LEC 001

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14851 ILRST 2100   DIS 201

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14852 ILRST 2100   DIS 202

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14853 ILRST 2100   DIS 203

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14854 ILRST 2100   DIS 204

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14855 ILRST 2100   DIS 205

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14856 ILRST 2100   DIS 206

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14857 ILRST 2100   DIS 207

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14858 ILRST 2100   DIS 208

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14859 ILRST 2100   DIS 209

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14860 ILRST 2100   DIS 210

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 14861 ILRST 2100   DIS 211

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 15152 ILRST 2100   DIS 212

  • Instruction Mode:
    Non-ILR students please enroll in STSCI 2100.

  • 15196 ILRST 2100   DIS 213

  • Instruction Mode:

  • 17979 ILRST 2100   DIS 214

  • Instruction Mode:

  • 17980 ILRST 2100   DIS 215

    • R
    • Velleman, P

  • Instruction Mode:

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 Graded

  • 14972 ILRST 2110   LEC 001

  • Instruction Mode:

  • 14973 ILRST 2110   DIS 201

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  • 14974 ILRST 2110   DIS 202

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  • 14975 ILRST 2110   DIS 203

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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 Graded

  • 15390 ILRST 2130   LEC 001

    • TR Ives Hall 118
    • Aug 26 - Oct 10, 2014
    • Karns, M

  • Instruction Mode:
    Introductory Statistics or Instructor Approval.

ILRST 3030

An array of decisions are made by policymakers (regulators, administrators, and politicians) who rely in part on information from data and statistics. What if polices were decided entirely on the empirical ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 3030

  • 4 Credits Graded

  • 16108 ILRST 3030   LEC 001

  • Instruction Mode:

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

  • 4 Credits Graded

  • 15086 ILRST 3100   LEC 001

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

  • 4 Credits Graded

  • 15176 ILRST 3110   LEC 001

  • Instruction Mode:
    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.

  • 15177 ILRST 3110   DIS 201

  • Instruction Mode:

  • 15178 ILRST 3110   DIS 202

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  • 15179 ILRST 3110   DIS 203

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  • 15180 ILRST 3110   DIS 204

  • Instruction Mode:

ILRST 3130

This course is designed for the student who is planning to do any data analysis -- whether academic or on the job -- and wants to think about the implications of choices in the analysis process on the ... view course details

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Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Graded

  • 15333 ILRST 3130   LEC 001

  • Instruction Mode:

ILRST 5080

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 3080BTRY 5080STSCI 3080STSCI 5080

  • 4 Credits Stdnt Opt

  • 15090 ILRST 5080   LEC 001

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

  • 15091 ILRST 5080   DIS 201

  • Instruction Mode:

  • 15098 ILRST 5080   DIS 202

  • Instruction Mode:

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 5080STSCI 5080

  • 4 Credits Stdnt Opt

  • 18341 ILRST 5080   LEC 002

  • Instruction Mode:

  • 18342 ILRST 5080   DIS 203

  • Instruction Mode:

ILRST 5100

A first course in statistics for graduate students in the social sciences. Descriptive statistics, probability and sampling distributions, estimation, hypothesis testing, simple linear regression, and ... view course details

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

  • 3 Credits Graded

  • 14953 ILRST 5100   LEC 001

  • Instruction Mode:

  • 14954 ILRST 5100   DIS 201

  • Instruction Mode:

  • 14955 ILRST 5100   DIS 202

  • Instruction Mode:

  • 14956 ILRST 5100   DIS 203

  • Instruction Mode:

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 Graded

  • 15131 ILRST 5110   LEC 001

  • Instruction Mode:

  • 15132 ILRST 5110   DIS 201

  • Instruction Mode:

  • 15133 ILRST 5110   DIS 202

  • Instruction Mode:

  • 15134 ILRST 5110   DIS 203

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

  • 4 Credits Stdnt Opt

  • 14965 ILRST 6100   LEC 001

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

  • 14966 ILRST 6100   LAB 402

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  • 14967 ILRST 6100   LAB 403

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  • 14968 ILRST 6100   LAB 404

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  • 18352 ILRST 6100   LAB 405

    • M
    • Bien, J

  • Instruction Mode:

ILRST 6140

This course comprises a brief introduction to the fundamentals of matrix algebra, followed by (a) theory and applications of hierarchical linear (mixed) models and (b) structural equations models. Topics ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 16125 ILRST 6140   LEC 001

  • Instruction Mode:

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

  • 3 Credits Graded

  • 18138 ILRST 7170   LEC 001

  • Instruction Mode:

ILRST 7990

For individual research conducted under the direction of a member of the faculty. view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Graded

  • 15199 ILRST 7990   IND 602

    • TBA
    • Bunge, J

  • Instruction Mode:

ILRST 9990

No description available. view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 1-12 Credits Graded

  • 15200 ILRST 9990   IND 601

    • TBA
    • Matteson, D

  • Instruction Mode: