Statistical Science (STSCI)Engineering
Showing 51 results.
Course descriptions provided by the Courses of Study 2022-2023.
Last Updated
- Schedule of Classes - April 4, 2023 12:09PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
STSCI 1380
Course Description
This course provides an introduction to data science using the statistical programming language R. We focus on building skills in inferential thinking and computational thinking, guided by the practical ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 1380, INFO 1380, ORIE 1380
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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 Thurston Hall 205
- Jan 23 - May 9, 2023
Instructors
Basu, 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
- W Upson Hall 216
- Jan 23 - May 9, 2023
Instructors
Basu, 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
- W Upson Hall 206
- Jan 23 - May 9, 2023
Instructors
Basu, 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
- W Upson Hall 102
- Jan 23 - May 9, 2023
Instructors
Basu, S
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Additional Information
Instruction Mode: In Person
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 Statler Hall 185-Aud
- Jan 23 - May 9, 2023
Instructors
Entner, J
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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 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 111
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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 Ives Hall 112
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 215
- Jan 23 - May 9, 2023
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
- F Ives Hall 219
- Jan 23 - May 9, 2023
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 Ives Hall 108
- Jan 23 - May 9, 2023
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 Ives Hall 112
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
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
- F Ives Hall 116
- Jan 23 - May 9, 2023
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
STSCI 2110
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 2110, ILRST 5110, STSCI 5110
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR Ives Hall 217
- Jan 23 - May 9, 2023
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 217
- Jan 23 - May 9, 2023
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 116
- Jan 23 - May 9, 2023
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 - Second. 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
- TR Ives Hall 215
- Mar 15 - May 9, 2023
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 Olin Hall 155
- Jan 23 - May 9, 2023
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. If this course is full, please add yourself to the waitlist via Student Center. Questions about waitlists, please email courses@cis.cornell.edu.
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Class Number & Section Details
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Meeting Pattern
- R Upson Hall 225
- Jan 23 - May 9, 2023
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
- Jan 23 - May 9, 2023
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
- Jan 23 - May 9, 2023
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
- Jan 23 - May 9, 2023
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
- Jan 23 - May 9, 2023
Instructors
Smith, M
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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, STSCI 5080
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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 175
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
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Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3010 , Calculus II, or the equivalent.
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Class Number & Section Details
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Meeting Pattern
- T Thurston Hall 203
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
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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 Phillips Hall 219
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
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Additional Information
Instruction Mode: In Person
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
- Jan 23 - May 9, 2023
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 111
- Jan 23 - May 9, 2023
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 217
- Jan 23 - May 9, 2023
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 217
- Jan 23 - May 9, 2023
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 217
- Jan 23 - May 9, 2023
Instructors
Packard, K
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Additional Information
Instruction Mode: In Person
STSCI 3200
Course Description
Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 3020, BTRY 5020, STSCI 5201
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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 Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3010 or 6010.
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Class Number & Section Details
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Meeting Pattern
- F Mann Library B30B
- Jan 23 - May 9, 2023
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
- Jan 23 - May 9, 2023
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
- F Mann Library B30A
- Jan 23 - May 9, 2023
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
- F Mann Library B30B
- Jan 23 - May 9, 2023
Instructors
Entner, J
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Additional Information
Instruction Mode: In Person
STSCI 3510
Course Description
Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include the Poisson process, Markov chains, renewal theory, models for ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 3510, ORIE 5510
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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
- Jan 23 - May 9, 2023
Instructors
Dai, 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 Frank H T Rhodes Hall 253
- Jan 23 - May 9, 2023
Instructors
Dai, 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
- T Ives Hall 116
- Jan 23 - May 9, 2023
Instructors
Dai, 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
- W Frank H T Rhodes Hall 253
- Jan 23 - May 9, 2023
Instructors
Dai, 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 Snee Hall Geological Sci 2152
- Jan 23 - May 9, 2023
Instructors
Dai, 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
- F Phillips Hall 407
- Jan 23 - May 9, 2023
Instructors
Dai, J
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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 - Second. Combined with: STSCI 5600
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Credits and Grading Basis
2 Credits Opt NoAud(Letter or S/U grades (no audit))
STSCI 4060
Course Description
The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 5045
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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 Thurston Hall 205
- Jan 23 - May 9, 2023
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
Prerequisite: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred). If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
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Class Number & Section Details
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Meeting Pattern
- T Phillips Hall 219
- Jan 23 - May 9, 2023
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
Prerequisite: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred).
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
- MW Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3080 or equivalent and at least one introductory statistics course.
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Class Number & Section Details
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Meeting Pattern
- F Warren Hall B75
- Jan 23 - May 9, 2023
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 Warren Hall B75
- Jan 23 - May 9, 2023
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
STSCI 4100
Course Description
Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields. Topics include MANOVA, principal components, factor ... view course details
Regular Academic Session. Combined with: BTRY 4100, ILRST 4100, STSCI 5111
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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 155
- Jan 23 - May 9, 2023
Instructors
Yang, D
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Additional Information
Instruction Mode: In Person
STSCI 4270
Course Description
Develops and uses statistical methods appropriate for analyzing right-censored (i.e., incomplete) time-to-event data. Topics covered include nonparametric estimation (e.g., life table methods, Kaplan Meier ... view course details
Regular Academic Session. Combined with: BTRY 4270, STSCI 5270
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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
- MW Warren Hall 101
- Jan 23 - May 9, 2023
Instructors
Booth, J
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Additional Information
Instruction Mode: In Person
STSCI 4520
Course Description
This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 5520
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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 203
- Jan 23 - May 9, 2023
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.
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Class Number & Section Details
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Meeting Pattern
- M Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
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Class Number & Section Details
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Meeting Pattern
- W Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Guinness, J
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Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 4550
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 4550, ORIE 5550, STSCI 5550
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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 Uris Library 2B02
- Jan 23 - May 9, 2023
Instructors
Krampe, J
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Additional Information
Instruction Mode: In Person
Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.
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Class Number & Section Details
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Meeting Pattern
- F Warren Hall 151
- Jan 23 - May 9, 2023
Instructors
Krampe, J
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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 Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Ning, Y
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Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 4750
Course Description
The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details
Regular Academic Session. Combined with: STSCI 5750
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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 Hollister Hall B14
- Jan 23 - May 9, 2023
Instructors
Thomas, A
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Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
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
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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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. Combined with: STSCI 5980
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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 Upson Hall 146
- Jan 23 - May 9, 2023
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.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
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
Regular Academic Session. Combined with: STSCI 5995
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Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
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)
STSCI 5045
Course Description
The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: STSCI 4060
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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 Thurston Hall 205
- Jan 23 - May 9, 2023
Instructors
Yang, X
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Additional Information
Instruction Mode: In Person
Prerequisites: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred).
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Class Number & Section Details
-
Meeting Pattern
- T Phillips Hall 219
- Jan 23 - May 9, 2023
Instructors
Yang, X
-
Additional Information
Instruction Mode: In Person
Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 5065
Course Description
Concepts, challenges, and industry trends of big data, with a focus on the Hadoop system. Topics include: basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); ... view course details
Regular Academic Session.
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- MWF Ives Hall 115
- Jan 23 - May 9, 2023
Instructors
Yang, X
-
Additional Information
Instruction Mode: In Person
Prerequisites: Knowledge of a general purpose computer programming language, such as JAVA, Python, Ruby, or C++, or at least taking STSC 4060 in parallel with this course; STSCI 5060 or basic SQL knowledge; STSCI 5010 or basic knowledge of SAS programming; STSCI 3520 or STSCI 4030 or basic knowledge of R programming. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
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. Combined with: BTRY 3080, ILRST 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
-
Meeting Pattern
- MW Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
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Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T Thurston Hall 203
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Phillips Hall 219
- Jan 23 - May 9, 2023
Instructors
El Alaoui, A
-
Additional Information
Instruction Mode: In Person
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
-
Meeting Pattern
- MW Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Diciccio, T
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Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Warren Hall B75
- Jan 23 - May 9, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Warren Hall B75
- Jan 23 - May 9, 2023
Instructors
Diciccio, T
-
Additional Information
Instruction Mode: In Person
STSCI 5110
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 2110, ILRST 5110, STSCI 2110
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- TR Ives Hall 217
- Jan 23 - May 9, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
Prerequisites: ILRST 2100, ILRST 5100, or equivalent introductory statistics course. Co-meets with ILRST 2110 and STSCI 2110.
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Class Number & Section Details
-
Meeting Pattern
- F Ives Hall 217
- Jan 23 - May 9, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Ives Hall 116
- Jan 23 - May 9, 2023
Instructors
Packard, K
-
Additional Information
Instruction Mode: In Person
STSCI 5111
Course Description
No description available. view course details
Regular Academic Session. Combined with: BTRY 4100, ILRST 4100, STSCI 4100
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Olin Hall 155
- Jan 23 - May 9, 2023
Instructors
Yang, D
-
Additional Information
Instruction Mode: In Person
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)
-
Class Number & Section Details
-
Meeting Pattern
- MWF Olin Hall 155
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. Questions about waitlists, please email courses@cis.cornell.edu
-
Class Number & Section Details
-
Meeting Pattern
- R Upson Hall 225
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Upson Hall 225
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Upson Hall 225
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Upson Hall 225
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Upson Hall 225
- Jan 23 - May 9, 2023
Instructors
Smith, M
-
Additional Information
Instruction Mode: In Person
STSCI 5201
Course Description
Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: BTRY 3020, BTRY 5020, STSCI 3200
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Mann Library B30B
- Jan 23 - May 9, 2023
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Mann Library B30B
- Jan 23 - May 9, 2023
Instructors
Entner, J
-
Additional Information
Instruction Mode: In Person
STSCI 5270
Course Description
Develops and uses statistical methods appropriate for analyzing right-censored (i.e., incomplete) time-to-event data. Topics covered include nonparametric estimation (e.g., life table methods, Kaplan Meier ... view course details
Regular Academic Session. Combined with: BTRY 4270, STSCI 4270
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Warren Hall 101
- Jan 23 - May 9, 2023
Instructors
Booth, J
-
Additional Information
Instruction Mode: In Person
STSCI 5520
Course Description
This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: STSCI 4520
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Phillips Hall 203
- Jan 23 - May 9, 2023
Instructors
Guinness, J
-
Additional Information
Instruction Mode: In Person
Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.
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Class Number & Section Details
-
Meeting Pattern
- M Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Guinness, J
-
Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
-
Class Number & Section Details
-
Meeting Pattern
- W Mann Library B30A
- Jan 23 - May 9, 2023
Instructors
Guinness, J
-
Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 5550
Course Description
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
Regular Academic Session. Choose one lecture and one discussion. Combined with: ILRST 4550, ORIE 5550, STSCI 4550
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Uris Library 2B02
- Jan 23 - May 9, 2023
Instructors
Krampe, J
-
Additional Information
Instruction Mode: In Person
Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.
-
Class Number & Section Details
-
Meeting Pattern
- F Warren Hall 151
- Jan 23 - May 9, 2023
Instructors
Krampe, J
-
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 - Second. Combined with: STSCI 3600
-
Credits and Grading Basis
2 Credits Opt NoAud(Letter or S/U grades (no audit))
STSCI 5640
Course Description
Regression, ARIMA, GARCH, stochastic volatility, and factor models. Calibration of financial engineering models, estimation of diffusion models, estimation of risk measures, multivariate models and copulas, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 5640
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- W Frank H T Rhodes Hall 253
- Jan 23 - May 9, 2023
Instructors
Matteson, D
-
Additional Information
Instruction Mode: In Person
Enrollment restricted to graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- R Frank H T Rhodes Hall 571
- Jan 23 - May 9, 2023
Instructors
Matteson, D
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F Hollister Hall 312
- Jan 23 - May 9, 2023
Instructors
Matteson, D
-
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
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Warren Hall 175
- Jan 23 - May 9, 2023
Instructors
Ning, Y
-
Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 5750
Course Description
The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details
Regular Academic Session. Combined with: STSCI 4750
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Hollister Hall B14
- Jan 23 - May 9, 2023
Instructors
Thomas, A
-
Additional Information
Instruction Mode: In Person
If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.
STSCI 5955
Course Description
This course is designed to run in parallel to STSCI 5999Â (Applied Statistics MPS Data Analysis Project) and is a required part of the final-semester client project for MPS students. In this course students ... view course details
Regular Academic Session.
-
Credits and Grading Basis
1 Credit Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- M Thurston Hall 203
- Jan 23 - May 9, 2023
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
Co-requisite: STSCI 5999.
STSCI 5980
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. Combined with: STSCI 4980
-
Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
-
Class Number & Section Details
-
Meeting Pattern
- M Upson Hall 146
- Jan 23 - May 9, 2023
Instructors
Wells, M
-
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 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.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
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
Regular Academic Session. Combined with: STSCI 4995
-
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
STSCI 5999
Course Description
It is a long-term, in-depth statistical analysis of real-world dataset using various statistical methods and computer packages (such as SAS, R, SPSS, etc.). Students work in teams (of maximum size 4) to ... view course details
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- TBA
- Jan 23 - May 9, 2023
Instructors
Booth, J
-
Additional Information
Instruction Mode: Directed Research
Enrollment limited to: students currently enrolled in MPS in Applied Statistics. Prerequisite: STSCI 4030, STSCI 5010 and STSCI 5080.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Project Session Full.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
STSCI 6730
Course Description
This course will focus on the finite sample theory of statistical inference, emphasizing estimation, hypothesis testing, and confidence intervals. Specific topics include: uniformly minimum variance unbiased ... view course details
Regular Academic Session. Combined with: MATH 6730
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- T Comstock Hall-Academic II B104
- Jan 23 - May 9, 2023
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
Prerequisites: STSCI 4090/BTRY 4090 (Theory of Statistics), MATH 6710 (measure theoretic probability) or permission of instructor. The Audit option requires permission of the Instructor.
STSCI 6750
Course Description
This course will discuss several probabilistic results and techniques that are useful in mathematical statistics. Limit theorems and stochastic inequalities are two key components of the course. Topics ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW Ives Hall 116
- Jan 23 - May 9, 2023
Instructors
Kato, K
-
Additional Information
Instruction Mode: In Person
STSCI 6780
Course Description
Priors, posteriors, Bayes estimators, decision theory, asymptotic theory, Bayes factors, credible regions, hierarchical models, nonparametric Bayes, computational methods, Bayesian robustness, and applications. ... view course details
Regular Academic Session. Combined with: ORIE 6780
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Hollister Hall 306
- Jan 23 - May 9, 2023
Instructors
Ruppert, D
-
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.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
-
Section Topic
Topic: Inference and Interpretation in Machine Learning
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Class Number & Section Details
-
Meeting Pattern
- TR Academic Surge B 159
- Jan 23 - May 9, 2023
Instructors
Hooker, G
-
Additional Information
Instruction Mode: In Person
Course will cover methods for interpretation and statistical inference for machine learning methods. Topics include interpretation methods: approximation by interpretable models, functional ANOVA, LIME, Shapley values and counterfactuals. Uncertainty quantification will be studied for ensemble methods, the infinitesimal jacknife, targeted maximum likelihood methods and Bayesian methods. Class will be a mixture of lectures and papers presented by students.
Seven Week - First.
-
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
-
Section Topic
Topic: Statistical Optimal Transport for High Dim Mixture
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Class Number & Section Details
-
Meeting Pattern
- W Hollister Hall 312
- Jan 23 - Mar 14, 2023
Instructors
Bunea, F
-
Additional Information
Instruction Mode: In Person
Enrollment is restricted to graduate students only.
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
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
STSCI 7951
Course Description
This course focuses on practical data analysis involving advanced statistical methods applied to real datasets. Students will be required to attend meetings with Cornell Statistical Consulting Unit (CSCU) ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- T Comstock Hall-Academic II 1187
- Jan 23 - May 9, 2023
Instructors
Basu, S
Booth, J
Guinness, J
-
Additional Information
Instruction Mode: In Person
Prerequisites: STSCI 7170, STSCI 7180, STSCI 6520 or equivalents
Instructor Consent Required (Add)
STSCI 7999
Course Description
Research at the Ph.D. Level. view course details
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
-
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.
-
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.
-
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.
-
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.
-
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)