Social Statistics (ILRST)Industrial and Labor Relations
Showing 9 results.
Course descriptions provided by the Courses of Study 2019-2020.
Last Updated
- Schedule of Classes - January 8, 2020 7:14PM EST
- Course Catalog - January 8, 2020 7:15PM EST
Classes
ILRST 2100
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 2100
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 305
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 116
Instructors
Packard, K
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 111
Instructors
Packard, K
ILRST 2130
Course Description
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
Seven Week - First.
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Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 118
- Aug 29 - Oct 18, 2019
Instructors
Karns, M
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Additional Information
Introductory Statistics or Instructor Approval.
ILRST 3080
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 3080, STSCI 3080
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Kimball Hall B11
Instructors
Bunea, F
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Additional Information
Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.
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Class Number & Section Details
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Meeting Pattern
- F Thurston Hall 203
Instructors
Bunea, F
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Class Number & Section Details
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Meeting Pattern
- M Ives Hall 305
Instructors
Bunea, F
ILRST 3100
Course Description
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
Regular Academic Session. Combined with: BTRY 3100, STSCI 3100
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW Thurston Hall 203
Instructors
Bunge, J
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Additional Information
Prerequisite: two semesters of statistics.
ILRST 3110
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: ECON 3110, STSCI 3110
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 105
Instructors
Wells, M
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Additional Information
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.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Wells, M
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 112
Instructors
Wells, M
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Wells, M
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
Instructors
Wells, M
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 103
Instructors
Wells, M
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 217
Instructors
Wells, M
ILRST 5050
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- MW Ives Hall 217
Instructors
Karns, M
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Additional Information
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.
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 108
Instructors
Karns, M
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 116
Instructors
Karns, M
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 217
Instructors
Karns, M
ILRST 5155
Course Description
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
Seven Week - First.
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Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TBA ILR in NYC
- Aug 22 - Aug 29, 2019
Instructors
Karns, M
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Additional Information
Taught in NYC. Enrollment limited to students enrolled in the ILR MPS program.
Department Consent Required (Add)
ILRST 6100
Course Description
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
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 6010
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Plant Science Building 233
Instructors
Basu, S
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Additional Information
Enrollment limited to: graduate students or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- T Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- W Mann Library B30A
Instructors
Basu, S
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Class Number & Section Details
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Meeting Pattern
- T Warren Hall B02
Instructors
Basu, S
ILRST 7170
Course Description
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
Regular Academic Session. Combined with: ORIE 7170, STSCI 7170
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW Riley-Robb Hall 225
Instructors
Booth, J