Social Statistics (ILRST)Industrial and Labor Relations
Showing 10 results.
Course descriptions provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 is scheduled to publish mid-June.
Last Updated
- Schedule of Classes - January 11, 2024 7:32PM EST
- Course Catalog - January 11, 2024 7:07PM 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
-
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR Ives Hall 305
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 103
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 107
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 107
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 107
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 107
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 109
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 107
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 215
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Ives Hall 109
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Ives Hall 109
- Aug 21 - Dec 4, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
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. Choose one lecture and one project. Combined with: STSCI 2130
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW Ives Hall 111
- Aug 21 - Oct 6, 2023
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
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
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Hollister Hall B14
- Aug 21 - Dec 4, 2023
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.
-
Class Number & Section Details
-
Meeting Pattern
- F Phillips Hall 219
- Aug 21 - Dec 4, 2023
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M Phillips Hall 219
- Aug 21 - Dec 4, 2023
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
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. Choose one lecture and one project. Combined with: BTRY 3100, STSCI 3100, STSCI 5100
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Caldwell Hall 100
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
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
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW Ives Hall 105
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
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.
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 115
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 115
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 115
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 111
- Aug 21 - Dec 4, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
ILRST 3900
Course Description
Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: INFO 3900, STSCI 3900
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Warren Hall 175
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
Wang, Y
-
Additional Information
Instruction Mode: In Person
Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person’s income be higher if they finished college? These questions involve counterfactuals: outcomes that would be realized if a treatment were assigned differently. This course will define counterfactuals mathematically, formalize conceptual assumptions that link empirical evidence to causal conclusions, and engage with statistical methods for estimation. Students will enter the course with knowledge of statistical inference: how to assess if a variable is associated with an outcome. Students will emerge from the course with knowledge of causal inference: how to assess whether an intervention to change that input would lead to a change in the outcome.
-
Class Number & Section Details
-
Meeting Pattern
- W Olin Hall 145
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
Wang, Y
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 146
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
Wang, Y
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 152
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
Wang, Y
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Warren Hall 137
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Upson Hall 152
- Aug 21 - Dec 4, 2023
Instructors
Lundberg, I
Wang, Y
-
Additional Information
Instruction Mode: In Person
ILRST 4110
Course Description
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
Regular Academic Session. Combined with: BTRY 4110, STSCI 4110, STSCI 5160
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- TR Ives Hall 115
- Aug 21 - Dec 4, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
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.
-
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW Ives Hall 105
- Aug 21 - Dec 4, 2023
Instructors
Karns, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Ives Hall 109
- Aug 21 - Dec 4, 2023
Instructors
Karns, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Ives Hall 109
- Aug 21 - Dec 4, 2023
Instructors
Karns, M
-
Additional Information
Instruction Mode: In Person
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 discussion. Combined with: BTRY 6010
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Malott Hall 228-Bache Aud
- Aug 21 - Dec 4, 2023
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students or permission of instructor.
-
Class Number & Section Details
-
Meeting Pattern
- T Mann Library B30A
- Aug 21 - Dec 4, 2023
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T Mann Library B30A
- Aug 21 - Dec 4, 2023
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Mann Library B30A
- Aug 21 - Dec 4, 2023
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W Mann Library B30A
- Aug 21 - Dec 4, 2023
Instructors
Kent, D
-
Additional Information
Instruction Mode: In Person
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
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Phillips Hall 407
- Aug 21 - Dec 4, 2023
Instructors
Booth, J
-
Additional Information
Instruction Mode: In Person