Statistical Science (STSCI)Engineering
Showing 29 results.
Course descriptions provided by the Courses of Study 2020-2021.
Last Updated
- Schedule of Classes - January 20, 2021 7:14PM EST
- Course Catalog - January 20, 2021 7:15PM EST
Classes
STSCI 1380
Course Description
This course provides an introduction to data science. Given data from economics, medicine, biology, or physics, collected from internet denizens, survey respondents, or wireless sensors, how can one understand ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 1380, ORIE 1380
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Hybrid-Online and In Person
Hybrid: rotational in person attendance to be determined by instructor.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Williamson, D
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
- WTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Williamson, D
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
- WTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Williamson, D
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
- RTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Williamson, D
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.
Regular Academic Session. Choose one lecture and one discussion. Combined with: CS 1380, ORIE 1380
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Online
Department Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Online
Department Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Online
Department Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Online
Department Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Williamson, D
Additional Information
Instruction Mode: Online
Department Consent Required (Add)
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
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Karns, M
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
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
- MWFTo Be Assigned
- Feb 8 - May 14, 2021
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.
Hybrid: rotational in person attendance to be determined by instructor.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- MWFOnline Meeting
- Feb 8 - May 14, 2021
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
- RUpson Hall 225
- Feb 8 - May 14, 2021
Instructors
Smith, M
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
- FUpson Hall 225
- Feb 8 - May 14, 2021
Instructors
Smith, M
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
- RUpson Hall 225
- Feb 8 - May 14, 2021
Instructors
Smith, M
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
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- RUpson Hall 225
- Feb 8 - May 14, 2021
Instructors
Smith, M
Additional Information
Instruction Mode: In Person
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
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
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Prerequisites: BTRY 3010 , Calculus II, or the equivalent.
Class Number & Section Details
Meeting Pattern
- TOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
Additional Information
Instruction Mode: Online
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
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Prerequisite: BTRY 3010 or 6010.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Entner, J
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Entner, J
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: In Person
Limited to students able to attend in-person classes in Ithaca.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: In Person
Limited to students able to attend in-person classes in Ithaca.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: In Person
Limited to students able to attend in-person classes in Ithaca.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: In Person
Limited to students able to attend in-person classes in Ithaca.
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Dai, J
Xie, Q
Additional Information
Instruction Mode: Online
STSCI 4060
Course Description
The first part of the course teaches basic Python programming knowledge and skills. The second part deals with Python application in statistics (e.g., data visualization and statistical analysis), ... 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
- MWFOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Yang, X
Additional Information
Instruction Mode: Online
Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. Permission of instructor required. Enrollment preference is given to the students in the MPS Program in Applied Statistics.Instructor Consent Required (Add)
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
- Feb 8 - May 14, 2021
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Prerequisites: BTRY 3080 or equivalent and at least one introductory statistics course.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Diciccio, T
Additional Information
Instruction Mode: Online
STSCI 4140
Course Description
This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, ... view course details
Regular Academic Session. Combined with: BTRY 4140, ILRST 4140
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Feb 8 - May 14, 2021
Instructors
Booth, J
Additional Information
Instruction Mode: In Person
Enrollment limited to students who are able to attend in-person classes in the Ithaca area.
Regular Academic Session. Combined with: BTRY 4140, ILRST 4140
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Booth, J
Additional Information
Instruction Mode: Online
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: BTRY 4520
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Hooker, G
Additional Information
Instruction Mode: Online
Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.
Class Number & Section Details
Meeting Pattern
- MOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Hooker, G
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- WOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Hooker, G
Additional Information
Instruction Mode: Online
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
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Jauch, M
Additional Information
Instruction Mode: Online
Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Jauch, M
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
- Feb 8 - May 14, 2021
Instructors
Ning, Y
Additional Information
Instruction Mode: Online
Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.
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)
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 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
- Feb 8 - May 14, 2021
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
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)
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 4999
Course Description
Research at the undergraduate level. 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)
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. Choose one lecture and one laboratory.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Yang, X
Additional Information
Instruction Mode: Online
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.Instructor Consent Required (Add)
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Yang, X
Additional Information
Instruction Mode: Online
Instructor Consent Required (Add)
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
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Prerequisites: ILRST 2100, ILRST 5100, or equivalent introductory statistics course. Co-meets with ILRST 2110 and STSCI 2110.
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Packard, K
Additional Information
Instruction Mode: Online
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
- WOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Matteson, D
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Matteson, D
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Matteson, D
Additional Information
Instruction Mode: Online
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)
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
- Feb 8 - May 14, 2021
Instructors
Staff
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)
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 6520
Course Description
Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization ... view course details
Regular Academic Session. Combined with: BTRY 6520
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Basu, S
Additional Information
Instruction Mode: Online
Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.
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 Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TOnline Meeting
- Feb 8 - May 14, 2021
Instructors
Bunea, F
Additional Information
Instruction Mode: Online
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
- ROnline Meeting
- Feb 8 - May 14, 2021
Instructors
Kato, K
Additional Information
Instruction Mode: Online
Prerequisites: MATH 6710 or permission of instructor
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: Readings & Research in High Dimensional Statistics
Class Number & Section Details
Meeting Pattern
- TROnline Meeting
- Feb 8 - May 14, 2021
Instructors
El Alaoui, A
Additional Information
Instruction Mode: Online
Prerequisites: MATH 6710 or permission of the instructor.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)
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)
Project Session Full.
Credits and Grading Basis
1-9 Credits Stdnt Opt(Letter or S/U grades)