Statistical Science (STSCI)Engineering
Showing 46 results.
Course descriptions provided by the Courses of Study 2022-2023.
Last Updated
- Schedule of Classes - April 13, 2023 2:00PM EDT
- Course Catalog - April 12, 2023 7:14PM EDT
Classes
STSCI 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: ILRST 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
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
Beginning with the first day of classes ILR students must get permission to drop from an advisor in the ILR Office of Student Services.
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 103
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 107
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 215
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 109
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 109
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 107
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 112
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 109
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Ives Hall 109
- Aug 22 - Dec 5, 2022
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
STSCI 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. Combined with: ILRST 2130
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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
- MW Ives Hall 105
- Aug 22 - Oct 7, 2022
Instructors
Das, S
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Additional Information
Instruction Mode: In Person
STSCI 2150
Course Description
This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 5150
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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
- MWF Phillips Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
This course is closed, but we are keeping a waitlist. Here is the link to get on the waitlist: https://forms.gle/TqqyphYxLkMYeXH5A Follow-up questions can be addressed to Ashley Gasdow, akg85@cornell.edu. A student cannot receive credit for this course and for SOC 3010, PSYCH 3500, ENGRD 2700, ILRST 2100, PAM 2100, AEM 2100, BTRY 3010, or AP statistics.
A student cannot receive credit for this course and for SOC 3010, PSYCH 3500, ENGRD 2700, ILRST 2100, PAM 2100, AEM 2100, BTRY 3010, or AP statistics.
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Carpenter Hall 104 blue
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
STSCI 2200
Course Description
In this course, students develop statistical methods and apply them to problems encountered in the biological and environmental sciences. Methods include data visualization, population parameter estimation, ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 3010, BTRY 5010, STSCI 5200
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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 Malott Hall 228-Bache Aud
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
Prerequisite: one semester of calculus.
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
STSCI 3040
Course Description
Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course aims to prepare students for dealing with data ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 5040
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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 Phillips Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
ECON / STSCI 3110, ORIE 2700
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Class Number & Section Details
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Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
STSCI 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, ILRST 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 Bill and Melinda Gates Hll G01
- Aug 22 - Dec 5, 2022
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
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 Ives Hall 217
- Aug 22 - Dec 5, 2022
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Phillips Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Bunea, F
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Additional Information
Instruction Mode: In Person
STSCI 3090
Course Description
This course will cover financial mathematics and financial instruments relevant to exam FM offered by the Society of Actuaries. Topics on the present and accumulated value of future cash flows will be ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 3090
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- MW Academic Surge A 109
- Aug 22 - Dec 5, 2022
Instructors
Das, S
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Warren Hall 150
- Aug 22 - Dec 5, 2022
Instructors
Das, S
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Additional Information
Instruction Mode: In Person
STSCI 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, ILRST 3100, STSCI 5100
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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
- TR Thurston Hall 203
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
Prerequisite: two semesters of statistics.
STSCI 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, ILRST 3110
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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 Ives Hall 105
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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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
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Ives Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
STSCI 3600
Course Description
Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details
Seven Week - First. Choose one lecture and one discussion. Combined with: STSCI 5600
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Credits and Grading Basis
2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Snee Hall Geological Sci 1146
- Aug 22 - Oct 7, 2022
Instructors
Karns, M
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Additional Information
Instruction Mode: In Person
Prerequisites: Introduction to Statistics (STSCI 2100/2130/2150, MATH 1710) or equivalent or permission of the instructor.
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Class Number & Section Details
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Meeting Pattern
- R Phillips Hall 403
- Aug 22 - Oct 7, 2022
Instructors
Karns, M
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Additional Information
Instruction Mode: In Person
STSCI 4030
Course Description
The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 4030, STSCI 5030
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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
- MW Riley-Robb Hall 125
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
A two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or Math 4710), multivariable calculus, and linear/matrix algebra.
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Class Number & Section Details
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Meeting Pattern
- M Snee Hall Geological Sci 1150
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Hollister Hall 372
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
STSCI 4090
Course Description
Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 4090, BTRY 5090, STSCI 5090
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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
- TR Ives Hall 105
- Aug 22 - Dec 5, 2022
Instructors
Wegkamp, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Warren Hall 175
- Aug 22 - Dec 5, 2022
Instructors
Wegkamp, M
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Additional Information
Instruction Mode: In Person
STSCI 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, ILRST 4110, STSCI 5160
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Bill and Melinda Gates Hll 114
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.
STSCI 4630
Course Description
Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4630, ORIE 5630, STSCI 5630
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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
- MW Bill and Melinda Gates Hll G01
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- T Frank H T Rhodes Hall 453
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Frank H T Rhodes Hall 453
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
STSCI 4740
Course Description
We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details
Regular Academic Session. Combined with: STSCI 5740
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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 Bradfield Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Ning, Y
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Additional Information
Instruction Mode: In Person
Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.
Instructor Consent Required (Add)
STSCI 4950
Course Description
This course will give students the opportunity to apply the statistical knowledge gained in their courses to "real-life" problems. Students will be integrated in the Cornell Statistical Consulting Unit ... view course details
Regular Academic Session. Combined with: BTRY 4950, BTRY 7950
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Credits and Grading Basis
2 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- R Comstock Hall-Academic II B108
- Aug 22 - Dec 5, 2022
Instructors
Basu, S
Booth, J
Guinness, J
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Additional Information
Instruction Mode: In Person
STSCI 4970
Course Description
Students assist in teaching a course appropriate to their previous training. Students meet with a discussion or laboratory section and regularly discuss objectives with the course instructor. view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 4980
Course Description
Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details
Regular Academic Session.
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Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
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Class Number & Section Details
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Meeting Pattern
- M Snee Hall Geological Sci 1120
- Aug 22 - Dec 5, 2022
Instructors
Wells, M
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Additional Information
Instruction Mode: In Person
Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management).
STSCI 4990
Course Description
Course consists of individual tutorial study selected by faculty. Because topics usually change year to year this course may be repeated for credit. view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 4995
Course Description
Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details
STSCI 4999
Course Description
Research at the undergraduate level. view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 5010
Course Description
This course teaches the basics of SAS (Statistical Analysis System) programming and the SAS Enterprise Miner software. This course is composed two modules. The first module, in the first 12 weeks, covers ... view course details
Regular Academic Session. Choose one lecture and one laboratory.
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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
- MW Upson Hall 216
- Aug 22 - Dec 5, 2022
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
Enrollment limited to MPS (Applied Statistics) students
Instructor Consent Required (Add)
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Class Number & Section Details
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Meeting Pattern
- F Malott Hall 253
- Aug 22 - Dec 5, 2022
Instructors
Yang, X
-
Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
STSCI 5030
Course Description
The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 4030, STSCI 4030
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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
- MW Riley-Robb Hall 125
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
Prerequisites: A two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or MATH 4710), multivariable calculus, and linear/matrix algebra, or permission of instructor. Intended for MPS students in Applied Statistics.
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Class Number & Section Details
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Meeting Pattern
- M Snee Hall Geological Sci 1150
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- W Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 372
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
STSCI 5040
Course Description
Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course aims to prepare students for dealing with data ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 3040
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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
-
Meeting Pattern
- TR Phillips Hall 219
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
STSCI 5060
Course Description
Using relational databases in statistical computing has become more and more important. The knowledge and skill of database management and the ability to combine this knowledge and skill with statistical ... view course details
Regular Academic Session. Choose one lecture and one laboratory.
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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
- MW Warren Hall B75
- Aug 22 - Dec 5, 2022
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
Co-requisite: STSCI 5010 or Base SAS programming knowledge and skills
Department Consent Required (Add)
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 216
- Aug 22 - Dec 5, 2022
Instructors
Yang, X
-
Additional Information
Instruction Mode: In Person
Department Consent Required (Add)
STSCI 5080
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.
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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 Ives Hall 105
- Aug 22 - Dec 5, 2022
Instructors
El Alaoui, A
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Additional Information
Instruction Mode: In Person
Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or equivalent. Enrollment limited to MPS (Applied Statistics) students
Instructor Consent Required (Add)
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Class Number & Section Details
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Meeting Pattern
- F Malott Hall 253
- Aug 22 - Dec 5, 2022
Instructors
El Alaoui, A
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Additional Information
Instruction Mode: In Person
Instructor Consent Required (Add)
STSCI 5090
Course Description
For description and learning oncomes see BTRY 4090. view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 4090, BTRY 5090, STSCI 4090
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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
- TR Ives Hall 105
- Aug 22 - Dec 5, 2022
Instructors
Wegkamp, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Warren Hall 175
- Aug 22 - Dec 5, 2022
Instructors
Wegkamp, M
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Additional Information
Instruction Mode: In Person
STSCI 5100
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, ILRST 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
- TR Thurston Hall 203
- Aug 22 - Dec 5, 2022
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
Prerequisite: two semesters of statistics.
STSCI 5150
Course Description
This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 2150
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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
- MWF Phillips Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
A student cannot receive credit for this course and for SOC 3010, PSYCH 3500, ENGRD 2700, ILRST 2100, PAM 2100, AEM 2100, BTRY 3010, or AP statistics.
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Upson Hall 225
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- F Carpenter Hall 104 blue
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
STSCI 5160
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, ILRST 4110, STSCI 4110
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Bill and Melinda Gates Hll 114
- Aug 22 - Dec 5, 2022
Instructors
Smith, M
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Additional Information
Instruction Mode: In Person
STSCI 5200
Course Description
For description and learning outcomes, see BTRY 3010. view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 3010, BTRY 5010, STSCI 2200
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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 Malott Hall 228-Bache Aud
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30B
- Aug 22 - Dec 5, 2022
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
STSCI 5600
Course Description
Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details
Seven Week - First. Choose one lecture and one discussion. Combined with: STSCI 3600
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Credits and Grading Basis
2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Snee Hall Geological Sci 1146
- Aug 22 - Oct 7, 2022
Instructors
Karns, M
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Additional Information
Instruction Mode: In Person
Prerequisites: Introduction to Statistics (STSCI 2100/2130/2150, MATH 1710) or equivalent or permission of the instructor.
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Class Number & Section Details
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Meeting Pattern
- R Phillips Hall 403
- Aug 22 - Oct 7, 2022
Instructors
Karns, M
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Additional Information
Instruction Mode: In Person
STSCI 5630
Course Description
Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4630, ORIE 5630, STSCI 4630
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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
- MW Bill and Melinda Gates Hll G01
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- T Frank H T Rhodes Hall 453
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
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Class Number & Section Details
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Meeting Pattern
- R Frank H T Rhodes Hall 453
- Aug 22 - Dec 5, 2022
Instructors
Ruppert, D
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Additional Information
Instruction Mode: In Person
STSCI 5740
Course Description
We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details
Regular Academic Session. Combined with: STSCI 4740
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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 Bradfield Hall 101
- Aug 22 - Dec 5, 2022
Instructors
Ning, Y
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Additional Information
Instruction Mode: In Person
Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.
Instructor Consent Required (Add)
STSCI 5953
Course Description
This course will focus on specific career and professional development topics for Master of Professional Studies in Applied Statistics students. Through lectures, workshops and seminars from MPS Statistics ... view course details
Regular Academic Session.
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Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
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Class Number & Section Details
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Meeting Pattern
- F Malott Hall 253
- Aug 22 - Dec 5, 2022
Instructors
Scheible, A
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Additional Information
Instruction Mode: In Person
Only open to MPS Applied Statistics students.
Department Consent Required (Add)
STSCI 5954
Course Description
Students will learn core professional skills required to work with a client. These skills include designing and implementing a work plan, learning to communicate efficiently, presentation of a final deliverable ... view course details
Seven Week - Second.
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Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- MWF Riley-Robb Hall 105
- Oct 12 - Dec 5, 2022
Instructors
Das, S
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Additional Information
Instruction Mode: In Person
Only open to MPS Applied Statistics students.
Instructor Consent Required (Add)
STSCI 5990
Course Description
For individual or group research projects conducted under the direction of a member of STSCI faculty or instructors in a special area of statistical science that is not covered by regular course ... view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TBA
- Aug 22 - Dec 5, 2022
Instructors
Basu, S
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Additional Information
Instruction Mode: Directed Research
Prerequisite: Multicalculus, linear algebra, and basic statistics. Permission of department required.
Instructor Consent Required (Add)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 5995
Course Description
Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details
STSCI 6520
Course Description
Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization ... view course details
Regular Academic Session.
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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
- MW Olin Hall 145
- Aug 22 - Dec 5, 2022
Instructors
Basu, S
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3080, BTRY 4030 and BTRY 4090 (or equivalent). Previous programming experience in R is required.
STSCI 6610
Course Description
The course covers the analysis of spatial and/or spatial-temporal data, defined as data that include references to spatial locations or regions. Topics may include spatial interpolation, regression with ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Corson-Mudd A106
- Aug 22 - Dec 5, 2022
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
STSCI 4030/5030 or equivalent plus STSCI 3080 or equivalent plus STSCI 4520/5520 or proficiency in R programming
STSCI 6740
Course Description
Focuses on the foundations of statistical inference, with an emphasis on asymptotic methods and the minimax optimality criterion. In the first part, the solution of the classical problem of justifying ... view course details
Regular Academic Session. Combined with: MATH 6740
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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 Malott Hall 205
- Aug 22 - Dec 5, 2022
Instructors
Nussbaum, M
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Additional Information
Instruction Mode: In Person
STSCI 6940
Course Description
Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Section Topic
Topic: Graphical Models and Causal Discovery
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Class Number & Section Details
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Meeting Pattern
- MW Ives Hall 108
- Aug 22 - Dec 5, 2022
Instructors
Wang, Y
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Additional Information
Instruction Mode: In Person
Prerequisite: STSCI 6730, Mathematical Statistics I
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Section Topic
Topic: Statistical Analysis of Optimal Transport
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Class Number & Section Details
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Meeting Pattern
- MW Upson Hall 152
- Aug 22 - Dec 5, 2022
Instructors
Kato, K
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Additional Information
Instruction Mode: In Person
Prerequisite: MATH 6710, Probability Theory I
STSCI 6970
Course Description
Individual tutorial study selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit. view course details
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
STSCI 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: ILRST 7170, ORIE 7170
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR Comstock Hall-Academic II B104
- Aug 22 - Dec 5, 2022
Instructors
Booth, J
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Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 4090 or MATH 4720 , BTRY 6020 , or equivalents.
STSCI 7999
Course Description
Research at the Ph.D. Level. view course details
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
STSCI 9999
Course Description
Doctoral Level Dissertation Research. view course details
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
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Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)