Statistical Science (STSCI)Engineering

Showing 27 results.

Course descriptions provided by the Courses of Study 2016-2017.

STSCI 2100

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

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  • Enrollment Information
    Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • Enrollment Information
    Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

STSCI 2110

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

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    Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 3 Credits GradeNoAud

STSCI 2150

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

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    Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 12429STSCI 2150  LEC 001

  • 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.

STSCI 3080

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

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    Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

STSCI 3110

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

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  • Enrollment Information
    Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits GradeNoAud

STSCI 3200

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

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    Choose one lecture and one laboratory. Combined with: BTRY 3020

  • 4 Credits Stdnt Opt

STSCI 3510

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

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    Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

STSCI 3520

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

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    Choose one lecture and one laboratory. Combined with: BTRY 3520

  • 4 Credits Stdnt Opt

  • 10738STSCI 3520  LEC 001

  • BTRY 3080, enrollment in Math 2220 and Math 2240 or equivalents.

STSCI 4060

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

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  • 3 Credits Stdnt Opt

  • 11547STSCI 4060  LEC 001

  • 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.

STSCI 4090

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

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    Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11515STSCI 4090  LEC 001

  • Prerequisites: BTRY 3080 or equivalent and at least one introductory statistics course.

STSCI 4110

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

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    Combined with: BTRY 4110ILRST 4110

  • 4 Credits Graded

  • 11998STSCI 4110  LEC 001

  • Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.

STSCI 4140

Applications of experimental design including split plots, incomplete blocks, and fractional factorials. Stresses use of the computer for both design and analysis, with emphasis on solving real ... view course details

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    Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

STSCI 4550

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

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    Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550

  • 4 Credits Graded

  • 12067STSCI 4550  LEC 001

  • Prerequisite: STSCI 3080 or Math 4710, STSCI 4030 (or equivalent) or permission of instructor.

STSCI 4940

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

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  • 1-3 Credits Stdnt Opt

  • 12003STSCI 4940  LEC 001

    • TBA
    • Wells, M

STSCI 4970

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

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  • 1-4 Credits Stdnt Opt

  • 12536STSCI 4970  IND 601

    • TBA
    • Wells, M

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 13146STSCI 4970  IND 602

    • TBA
    • Smith, M

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 17143STSCI 4970  IND 603

    • TBA
    • Diciccio, T

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 18631STSCI 4970  IND 604

    • TBA
    • Packard, K

STSCI 4990

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

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  • 1-4 Credits Stdnt Opt

  • 12108STSCI 4990  IND 601

    • TBA
    • Wells, M

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 12290STSCI 4990  IND 602

    • TBA
    • Ruppert, D

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 13151STSCI 4990  IND 604

    • TBA
    • Diciccio, T

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 13154STSCI 4990  IND 605

    • TBA
    • Earls, C

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 13171STSCI 4990  IND 606

    • TBA
    • Hooker, G

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 18570STSCI 4990  IND 607

    • TBA
    • Bunge, J

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 18615STSCI 4990  IND 608

    • TBA
    • Velleman, P

STSCI 4999

Research at the undergraduate level. view course details

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  • Enrollment Information

  • 1-3 Credits Stdnt Opt

  • 11632STSCI 4999  RSC 701

    • TBA
    • Wells, M

  • Enrollment Information

  • 1-3 Credits Stdnt Opt

STSCI 5065

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

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    Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 12671STSCI 5065  LEC 001

  • 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.

STSCI 5110

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

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  • Enrollment Information
    Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 3 Credits GradeNoAud

  • 12295STSCI 5110  LEC 001

  • Prerequisites: ILRST 2100, ILRST 5100, or equivalent introductory statistics course. Co-meets with ILRST 2110 and STSCI 2110.

STSCI 5640

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

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  • Enrollment Information
    Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

STSCI 5990

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

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  • 1-4 Credits Stdnt Opt

  • 11169STSCI 5990  RSC 701

    • TBA
    • Yang, X

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 12294STSCI 5990  RSC 702

    • TBA
    • Matteson, D

  • Enrollment Information

  • 1-4 Credits Stdnt Opt

  • 12874STSCI 5990  RSC 703

    • TBA
    • Wells, M

STSCI 5999

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

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  • Enrollment Information

  • 4 Credits Graded

  • 12218STSCI 5999  DIS 201

    • TBA
    • Ruppert, D

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics. Prerequisite: STSCI 4030, STSCI 5010 and STSCI 5080.

  • Enrollment Information

  • 4 Credits Graded

  • 12220STSCI 5999  DIS 202

    • TBA
    • Fink, D

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12221STSCI 5999  DIS 203

    • TBA
    • Matteson, D

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12222STSCI 5999  DIS 204

    • TBA
    • Bunea, F

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12223STSCI 5999  DIS 205

    • TBA
    • Ning, Y

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12224STSCI 5999  DIS 206

    • TBA
    • Molinari, F

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12225STSCI 5999  DIS 207

    • TBA
    • Hooker, G

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12226STSCI 5999  DIS 208

    • TBA
    • Bunge, J

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12227STSCI 5999  DIS 209

    • TBA
    • Bien, J

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12228STSCI 5999  DIS 210

    • TBA
    • Booth, J

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12229STSCI 5999  DIS 211

    • TBA
    • Abowd, J

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12230STSCI 5999  DIS 212

    • TBA
    • Wegkamp, M

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12231STSCI 5999  DIS 213

    • TBA
    • Wells, M

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12232STSCI 5999  DIS 214

    • TBA
    • Bramati, M

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12233STSCI 5999  DIS 215

    • TBA
    • Loredo, T

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12234STSCI 5999  DIS 216

    • TBA
    • Resnick, S

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12235STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12236STSCI 5999  DIS 218

    • TBA
    • Hong, Y

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12237STSCI 5999  DIS 219

    • TBA
    • Yang, X

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

  • Enrollment Information

  • 4 Credits Graded

  • 12238STSCI 5999  DIS 220

    • TBA
    • Smith, M

  • Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

STSCI 6520

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

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    Combined with: BTRY 6520

  • 4 Credits Stdnt Opt

  • 15986STSCI 6520  LEC 001

  • Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.

STSCI 6730

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

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    Choose one lecture and one discussion. Combined with: MATH 6730

  • 4 Credits Stdnt Opt

  • 13009STSCI 6730  LEC 001

  • 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 7500

Topics covered will include linear and non-linear, univariate and multivariate time series. Depending on interest, additional topics may include spatio-temporal modeling, seasonal modeling, spectral analysis, ... view course details

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    Combined with: ILRST 7500

  • 3 Credits Graded

  • 17886STSCI 7500  LEC 001

  • Prerequisites: Linear Models and 1 year graduate sequences in Mathematical Statistics, Probability, and Econometrics, or instructor permission.

STSCI 7999

Research at the Ph.D. Level. view course details

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  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 11633STSCI 7999  RSC 701

    • TBA
    • Wells, M

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12798STSCI 7999  RSC 703

    • TBA
    • Matteson, D

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12799STSCI 7999  RSC 704

    • TBA
    • Bunea, F

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12801STSCI 7999  RSC 706

    • TBA
    • Hooker, G

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12802STSCI 7999  RSC 707

    • TBA
    • Bunge, J

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12803STSCI 7999  RSC 708

    • TBA
    • Bien, J

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12804STSCI 7999  RSC 709

    • TBA
    • Booth, J

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12807STSCI 7999  RSC 712

    • TBA
    • Resnick, S

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12808STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

  • Enrollment Information

  • 1-9 Credits Sat/Unsat

  • 12810STSCI 7999  RSC 715

    • TBA
    • Wegkamp, M

STSCI 9999

Doctoral Level Dissertation Research. view course details

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  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 11634STSCI 9999  RSC 701

    • TBA
    • Wells, M

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12251STSCI 9999  RSC 703

    • TBA
    • Matteson, D

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12252STSCI 9999  RSC 704

    • TBA
    • Bunea, F

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12254STSCI 9999  RSC 706

    • TBA
    • Hooker, G

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12255STSCI 9999  RSC 707

    • TBA
    • Bunge, J

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12256STSCI 9999  RSC 708

    • TBA
    • Bien, J

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12257STSCI 9999  RSC 709

    • TBA
    • Booth, J

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12259STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12263STSCI 9999  RSC 715

    • TBA
    • Resnick, S

  • Enrollment Information

  • 1-9 Credits Stdnt Opt

  • 12264STSCI 9999  RSC 716

    • TBA
    • Diciccio, T