Statistical Science (STSCI)Engineering
Showing 30 results.
Course descriptions provided by the Courses of Study 2020-2021.
Last Updated
- Schedule of Classes - September 22, 2020 7:14PM EDT
- Course Catalog - September 22, 2020 7:15PM 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
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Packard, K
Additional Information
Instruction Mode: Online
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFRockefeller Hall 201
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Hybrid-Online and In Person
Hybrid: rotational in person attendance to be determined by instructor. 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.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- FUpson Hall 225
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Hybrid-Online and In Person
Hybrid: rotational in person attendance to be determined by instructor. 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.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- RUpson Hall 225
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Hybrid-Online and In Person
Hybrid: rotational in person attendance to be determined by instructor. 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.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- FUpson Hall 225
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Hybrid-Online and In Person
Hybrid: rotational in person attendance to be determined by instructor. 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.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Hybrid: rotational in person attendance to be determined by instructor. 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.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Regular Academic Session. Choose one lecture and one laboratory.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
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.
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Prerequisite: one semester of calculus.
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MMann Library B30B
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Hybrid-Online and In Person
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- TMann Library B30B
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Hybrid-Online and In Person
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- TOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Bunea, F
Additional Information
Instruction Mode: Online
Prerequisites: BTRY 3010, Calculus II, Multivariable calculus, or the equivalent.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Bunea, F
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Bunea, F
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Regular Academic Session. Choose one lecture and one discussion. Combined with: ECON 3110, ILRST 3110
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
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.
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Wegkamp, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Wegkamp, M
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRBill and Melinda Gates Hll G01
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Hybrid-Online and In Person
Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Regular Academic Session. Combined with: BTRY 4110, ILRST 4110
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.
STSCI 4600
Course Description
This course will provide an introduction to methods and models for analyzing data. Methods for selecting and validating models with actuarial applications will be emphasized. Topics to be covered will ... 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
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Prerequisites: STSCI 3080 Probability Models and Inference and STSCI 4030 Linear Models with Matrices (completed or concurrent enrollment).
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
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TFrank H T Rhodes Hall 571
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: In Person Transition to Online
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- WFrank H T Rhodes Hall 571
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: In Person Transition to Online
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4630
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Ruppert, D
Additional Information
Instruction Mode: Online
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Ning, Y
Additional Information
Instruction Mode: Online
Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.
STSCI 4940
Course Description
Course of lectures 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
1-3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA Online Meeting
- Sep 2 - Dec 16, 2020
Instructors
Staff
Additional Information
Instruction Mode: Online
Course of lectures selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit.Department 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
Credits and Grading Basis
2 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Basu, S
Booth, J
Guinness, J
Additional Information
Instruction Mode: Online
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.
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.
Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Wells, M
Additional Information
Instruction Mode: Online
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
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 4999
Course Description
Research at the undergraduate level. view course details
Regular Academic Session.
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-3 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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Yang, X
Additional Information
Instruction Mode: Online
Enrollment limited to MPS (Applied Statistics) studentsInstructor Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Yang, X
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
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.
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Guinness, J
Additional Information
Instruction Mode: Online
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Yang, X
Additional Information
Instruction Mode: Online
Co-requisite: STSCI 5010 or Base SAS programming knowledge and skillsDepartment Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Yang, X
Additional Information
Instruction Mode: Online
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.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Instructor Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- FUris Hall G01
- Sep 2 - Dec 16, 2020
Instructors
Kato, K
Additional Information
Instruction Mode: Hybrid-Online and In Person
Only open to MPS Applied Statistics students.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.Instructor Consent Required (Add)
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Instructor Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Only open to MPS Applied Statistics students.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.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Todd, C
Additional Information
Instruction Mode: Online
Only open to MPS Applied Statistics students.Department Consent Required (Add)
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Todd, C
Additional Information
Instruction Mode: Online
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
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Hooker, G
Additional Information
Instruction Mode: Directed Research
Prerequisite: Multicalculus, linear algebra, and basic statistics. Permission of department required.Instructor Consent Required (Add)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
STSCI 6740
Course Description
Focuses on the modern theory of statistical inference, with an emphasis on nonparametric and asymptotic methods. Topics include empirical Bayes and shrinkage estimators, unbiased estimation of risk, adaptive ... view course details
Regular Academic Session. Combined with: MATH 6740
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Nussbaum, M
Additional Information
Instruction Mode: Online
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: Multivariate and Functional Data Analysis
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Hooker, G
Additional Information
Instruction Mode: Online
Prerequisites: ORIE 6700, STSCI 6730, or equivalent.
Regular Academic Session.
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Section Topic
Topic: Time Series and Spatio Data Sci
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Matteson, D
Additional Information
Instruction Mode: Online
Prerequisites: Ph.D. level mathematical statistics and linear models
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)
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
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
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Sep 2 - Dec 16, 2020
Instructors
Booth, J
Additional Information
Instruction Mode: Online
Prerequisites: BTRY 4090 or MATH 4720 , BTRY 6020 , or equivalents.
STSCI 7999
Course Description
Research at the Ph.D. Level. view course details
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
STSCI 9999
Course Description
Doctoral Level Dissertation Research. view course details
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)
Regular Academic Session.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)