Statistical Science (STSCI)Engineering

Showing 27 results.

Course descriptions provided by the 2016-2017 Catalog.

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • 11378 STSCI 2100   LEC 001

  • Instruction Mode: In Person

  • 11379 STSCI 2100   DIS 201

  • Instruction Mode: In Person

  • 11380 STSCI 2100   DIS 202

  • Instruction Mode: In Person

  • 11381 STSCI 2100   DIS 203

  • Instruction Mode: In Person

  • 11382 STSCI 2100   DIS 204

  • Instruction Mode: In Person

  • 11383 STSCI 2100   DIS 205

  • Instruction Mode: In Person

  • 11384 STSCI 2100   DIS 206

  • Instruction Mode: In Person

  • 11385 STSCI 2100   DIS 207

  • Instruction Mode: In Person

  • 11386 STSCI 2100   DIS 208

  • Instruction Mode: In Person

  • 11387 STSCI 2100   DIS 209

  • Instruction Mode: In Person

  • 11388 STSCI 2100   DIS 210

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • 12340 STSCI 2100   LEC 002

  • Instruction Mode: In Person

  • 12341 STSCI 2100   DIS 220

  • Instruction Mode: In Person

  • 12342 STSCI 2100   DIS 221

  • Instruction Mode: In Person

  • 12343 STSCI 2100   DIS 222

  • Instruction Mode: In Person

  • 12344 STSCI 2100   DIS 223

  • Instruction Mode: In Person

  • 12345 STSCI 2100   DIS 224

  • Instruction Mode: In Person

  • 12346 STSCI 2100   DIS 225

  • Instruction Mode: In Person

  • 12347 STSCI 2100   DIS 226

  • Instruction Mode: In Person

  • 12348 STSCI 2100   DIS 227

  • Instruction Mode: In Person

  • 12349 STSCI 2100   DIS 228

  • Instruction Mode: In Person

  • 12350 STSCI 2100   DIS 229

  • Instruction Mode: In Person

  • 12470 STSCI 2100   DIS 230

  • Instruction Mode: In Person

  • 12471 STSCI 2100   DIS 231

  • Instruction Mode: In Person

  • 12738 STSCI 2100   DIS 232

  • Instruction Mode: In Person

  • 12739 STSCI 2100   DIS 233

  • Instruction Mode: In Person

  • 12740 STSCI 2100   DIS 234

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 3 Credits GradeNoAud

  • 12062 STSCI 2110   LEC 001

  • Instruction Mode: In Person

  • 12063 STSCI 2110   DIS 201

  • Instruction Mode: In Person

  • 12064 STSCI 2110   DIS 202

  • Instruction Mode: In Person

  • 12065 STSCI 2110   DIS 203

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 12429 STSCI 2150   LEC 001

  • 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.

  • 12430 STSCI 2150   LAB 401

  • Instruction Mode: In Person

  • 12431 STSCI 2150   LAB 402

  • Instruction Mode: In Person

  • 12432 STSCI 2150   LAB 403

  • Instruction Mode: In Person

  • 12452 STSCI 2150   LAB 404

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 12186 STSCI 3080   LEC 001

  • Instruction Mode: In Person

    Prerequisites: BTRY 3010 , Calculus II, or the equivalent.

  • 12187 STSCI 3080   DIS 201

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits GradeNoAud

  • 12351 STSCI 3110   LEC 001

  • Instruction Mode: In Person

  • 12352 STSCI 3110   DIS 201

  • Instruction Mode: In Person

  • 12353 STSCI 3110   DIS 202

  • Instruction Mode: In Person

  • 12354 STSCI 3110   DIS 203

  • Instruction Mode: In Person

  • 12355 STSCI 3110   DIS 204

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3020

  • 4 Credits Stdnt Opt

  • 15900 STSCI 3200   LEC 001

  • Instruction Mode: In Person

  • 15901 STSCI 3200   LAB 401

  • Instruction Mode: In Person

  • 15902 STSCI 3200   LAB 402

  • Instruction Mode: In Person

  • 15903 STSCI 3200   LAB 403

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 11541 STSCI 3510   LEC 001

  • Instruction Mode: In Person

  • 11542 STSCI 3510   DIS 201

  • Instruction Mode: In Person

  • 11543 STSCI 3510   DIS 202

  • Instruction Mode: In Person

  • 11544 STSCI 3510   DIS 203

  • Instruction Mode: In Person

  • 11545 STSCI 3510   DIS 204

  • Instruction Mode: In Person

  • 11546 STSCI 3510   DIS 205

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3520

  • 4 Credits Stdnt Opt

  • 10738 STSCI 3520   LEC 001

  • Instruction Mode: In Person

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

  • 10739 STSCI 3520   LAB 401

  • Instruction Mode: In Person

  • 13085 STSCI 3520   LAB 402

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 11547 STSCI 4060   LEC 001

  • Instruction Mode: In Person

    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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11515 STSCI 4090   LEC 001

  • Instruction Mode: In Person

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

  • 11516 STSCI 4090   DIS 201

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110ILRST 4110

  • 4 Credits Graded

  • 11998 STSCI 4110   LEC 001

  • Instruction Mode: In Person

    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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 12357 STSCI 4140   LEC 001

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550

  • 4 Credits Graded

  • 12067 STSCI 4550   LEC 001

  • Instruction Mode: In Person

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

  • 12137 STSCI 4550   DIS 201

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 12003 STSCI 4940   LEC 001

    • TBA
    • Wells, M

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12536 STSCI 4970   IND 601

    • TBA
    • Wells, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 13146 STSCI 4970   IND 602

    • TBA
    • Smith, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 17143 STSCI 4970   IND 603

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18631 STSCI 4970   IND 604

    • TBA
    • Packard, K

  • Instruction Mode: In Person

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12108 STSCI 4990   IND 601

    • TBA
    • Wells, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12290 STSCI 4990   IND 602

    • TBA
    • Ruppert, D

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12827 STSCI 4990   IND 603

    • TBA
    • Booth, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 13151 STSCI 4990   IND 604

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 13154 STSCI 4990   IND 605

    • TBA
    • Earls, C

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 13171 STSCI 4990   IND 606

    • TBA
    • Hooker, G

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18570 STSCI 4990   IND 607

    • TBA
    • Bunge, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18615 STSCI 4990   IND 608

    • TBA
    • Velleman, P

  • Instruction Mode: In Person

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11632 STSCI 4999   RSC 701

    • TBA
    • Wells, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 12858 STSCI 4999   RSC 702

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 12671 STSCI 5065   LEC 001

  • 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.

  • 12674 STSCI 5065   LAB 401

  • Instruction Mode: In Person

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 3 Credits GradeNoAud

  • 12295 STSCI 5110   LEC 001

  • Instruction Mode: In Person

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

  • 12296 STSCI 5110   DIS 201

  • Instruction Mode: In Person

  • 12297 STSCI 5110   DIS 202

  • Instruction Mode: In Person

  • 12298 STSCI 5110   DIS 203

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

  • 12176 STSCI 5640   LEC 001

  • Instruction Mode: In Person

  • 12177 STSCI 5640   DIS 201

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11169 STSCI 5990   RSC 701

    • TBA
    • Yang, X

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12294 STSCI 5990   RSC 702

    • TBA
    • Matteson, D

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12874 STSCI 5990   RSC 703

    • TBA
    • Wells, M

  • Instruction Mode: In Person

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12218 STSCI 5999   DIS 201

    • TBA
    • Ruppert, D

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12220 STSCI 5999   DIS 202

    • TBA
    • Fink, D

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12221 STSCI 5999   DIS 203

    • TBA
    • Matteson, D

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12222 STSCI 5999   DIS 204

    • TBA
    • Bunea, F

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12223 STSCI 5999   DIS 205

    • TBA
    • Ning, Y

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12224 STSCI 5999   DIS 206

    • TBA
    • Molinari, F

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12225 STSCI 5999   DIS 207

    • TBA
    • Hooker, G

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12226 STSCI 5999   DIS 208

    • TBA
    • Bunge, J

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12227 STSCI 5999   DIS 209

    • TBA
    • Bien, J

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12228 STSCI 5999   DIS 210

    • TBA
    • Booth, J

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12229 STSCI 5999   DIS 211

    • TBA
    • Abowd, J

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12230 STSCI 5999   DIS 212

    • TBA
    • Wegkamp, M

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12231 STSCI 5999   DIS 213

    • TBA
    • Wells, M

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12232 STSCI 5999   DIS 214

    • TBA
    • Bramati, M

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12233 STSCI 5999   DIS 215

    • TBA
    • Loredo, T

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12234 STSCI 5999   DIS 216

    • TBA
    • Resnick, S

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12235 STSCI 5999   DIS 217

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12236 STSCI 5999   DIS 218

    • TBA
    • Hong, Y

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12237 STSCI 5999   DIS 219

    • TBA
    • Yang, X

  • Instruction Mode: In Person

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12238 STSCI 5999   DIS 220

    • TBA
    • Smith, M

  • Instruction Mode: In Person

    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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 6520

  • 4 Credits Stdnt Opt

  • 15986 STSCI 6520   LEC 001

  • Instruction Mode: In Person

    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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 6730

  • 4 Credits Stdnt Opt

  • 13009 STSCI 6730   LEC 001

  • 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.

  • 13010 STSCI 6730   DIS 201

    • W
    • Bunea, F

  • Instruction Mode: In Person

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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Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 7500

  • 3 Credits Graded

  • 17886 STSCI 7500   LEC 001

  • Instruction Mode: In Person

    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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11633 STSCI 7999   RSC 701

    • TBA
    • Wells, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12798 STSCI 7999   RSC 703

    • TBA
    • Matteson, D

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12799 STSCI 7999   RSC 704

    • TBA
    • Bunea, F

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12801 STSCI 7999   RSC 706

    • TBA
    • Hooker, G

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12802 STSCI 7999   RSC 707

    • TBA
    • Bunge, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12803 STSCI 7999   RSC 708

    • TBA
    • Bien, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12804 STSCI 7999   RSC 709

    • TBA
    • Booth, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12807 STSCI 7999   RSC 712

    • TBA
    • Resnick, S

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12808 STSCI 7999   RSC 713

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12810 STSCI 7999   RSC 715

    • TBA
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11634 STSCI 9999   RSC 701

    • TBA
    • Wells, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12251 STSCI 9999   RSC 703

    • TBA
    • Matteson, D

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12252 STSCI 9999   RSC 704

    • TBA
    • Bunea, F

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12254 STSCI 9999   RSC 706

    • TBA
    • Hooker, G

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12255 STSCI 9999   RSC 707

    • TBA
    • Bunge, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12256 STSCI 9999   RSC 708

    • TBA
    • Bien, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12257 STSCI 9999   RSC 709

    • TBA
    • Booth, J

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12259 STSCI 9999   RSC 711

    • TBA
    • Wegkamp, M

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12263 STSCI 9999   RSC 715

    • TBA
    • Resnick, S

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12264 STSCI 9999   RSC 716

    • TBA
    • Diciccio, T

  • Instruction Mode: In Person