Social Statistics (ILRST)Industrial and Labor Relations

Showing 9 results.

Course descriptions provided by the Courses of Study 2019-2020.

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

  • 13964ILRST 2100  LEC 001

    • TR
    • Karns, M

  • 13975ILRST 2100  DIS 201

    • F
    • Karns, M

  • 13976ILRST 2100  DIS 202

    • F
    • Karns, M

  • 13977ILRST 2100  DIS 203

    • F
    • Karns, M

  • 13978ILRST 2100  DIS 204

    • F
    • Karns, M

  • 13979ILRST 2100  DIS 205

    • F
    • Karns, M

  • 13980ILRST 2100  DIS 206

    • F
    • Karns, M

  • 13981ILRST 2100  DIS 207

    • F
    • Karns, M

  • 13982ILRST 2100  DIS 208

    • F
    • Karns, M

  • 13983ILRST 2100  DIS 209

    • F
    • Karns, M

  • 13984ILRST 2100  DIS 210

    • F
    • Karns, M

  • 14190ILRST 2100  DIS 211

    • F
    • Karns, M

  • 14196ILRST 2100  DIS 212

    • F
    • Karns, M

  • 14197ILRST 2100  DIS 213

    • F
    • Karns, M

  • 14198ILRST 2100  DIS 214

    • F
    • Karns, M

  • 18362ILRST 2100  DIS 215

    • R
    • Karns, M

  • 14313ILRST 2100  DIS 216

    • F
    • Karns, M

  • 14314ILRST 2100  DIS 217

    • F
    • Karns, M

  • 18363ILRST 2100  DIS 218

    • R
    • Karns, M

  • 14315ILRST 2100  DIS 219

    • F
    • Karns, M

  • 14172ILRST 2100  DIS 220

    • F
    • Karns, M

  • 14173ILRST 2100  DIS 221

    • F
    • Karns, M

  • 14174ILRST 2100  DIS 222

    • F
    • Karns, M

  • 14175ILRST 2100  DIS 223

    • F
    • Karns, M

  • 14176ILRST 2100  DIS 224

    • F
    • Karns, M

  • 14177ILRST 2100  DIS 225

    • F
    • Karns, M

  • 14178ILRST 2100  DIS 226

    • F
    • Karns, M

  • 14179ILRST 2100  DIS 227

    • F
    • Karns, M

  • 14180ILRST 2100  DIS 228

    • F
    • Karns, M

  • 14181ILRST 2100  DIS 229

    • F
    • Karns, M

  • 14189ILRST 2100  DIS 230

    • F
    • Karns, M

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

  • 3 Credits GradeNoAud

  • 14038ILRST 2110  LEC 001

    • TR
    • Packard, K

  • 14039ILRST 2110  DIS 201

    • F
    • Packard, K

  • 14040ILRST 2110  DIS 202

    • R
    • Packard, K

  • 14041ILRST 2110  DIS 203

    • F
    • Packard, K

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

  • 14744ILRST 2130  LEC 001

    • TR
    • Jan 21 - Mar 10, 2020
    • Wells, M

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

  • 14260ILRST 3080  LEC 001

    • MW
    • Bunea, F

  • 14261ILRST 3080  DIS 201

    • T
    • Bunea, F

  • 14262ILRST 3080  DIS 202

    • R
    • Bunea, F

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

  • 4 Credits GradeNoAud

  • 14182ILRST 3110  LEC 001

    • TR
    • Diciccio, T

  • 14183ILRST 3110  DIS 201

    • R
    • Diciccio, T

  • 14184ILRST 3110  DIS 202

    • F
    • Diciccio, T

  • 14185ILRST 3110  DIS 203

    • F
    • Diciccio, T

  • 14186ILRST 3110  DIS 204

    • F
    • Diciccio, T

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 Graded

  • 14129ILRST 4110  LEC 001

    • TR
    • Smith, M

  • 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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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140STSCI 4140

  • 4 Credits Stdnt Opt

  • 14188ILRST 4140  LEC 001

    • MW
    • Bunge, J

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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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5550STSCI 4550

  • 4 Credits Graded

  • 14130ILRST 4550  LEC 001

    • TR
    • Jauch, M

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

  • 14155ILRST 4550  DIS 201

    • F
    • Jauch, M

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

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

  • 3 Credits GradeNoAud

  • 13965ILRST 5110  LEC 001

    • TR
    • Packard, K

  • 14009ILRST 5110  DIS 201

    • F
    • Packard, K

  • 14010ILRST 5110  DIS 202

    • R
    • Packard, K

  • 14011ILRST 5110  DIS 203

    • F
    • Packard, K