Statistical Science (STSCI)Engineering

Showing 32 results.

Course descriptions provided by the Courses of Study 2014-2015.

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

  • 4 Credits GradeNoAud

  • 11449STSCI 2100  LEC 001

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  • 11450STSCI 2100  DIS 201

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  • 11451STSCI 2100  DIS 202

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  • 11452STSCI 2100  DIS 203

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  • 11453STSCI 2100  DIS 204

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  • 11454STSCI 2100  DIS 205

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  • 11455STSCI 2100  DIS 206

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  • 11456STSCI 2100  DIS 207

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  • 11457STSCI 2100  DIS 208

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  • 11458STSCI 2100  DIS 209

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  • 11459STSCI 2100  DIS 210

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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • 12639STSCI 2100  LEC 002

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  • 12640STSCI 2100  DIS 220

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  • 12641STSCI 2100  DIS 221

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  • 12642STSCI 2100  DIS 222

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  • 12643STSCI 2100  DIS 223

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  • 12644STSCI 2100  DIS 224

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  • 12645STSCI 2100  DIS 225

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  • 12646STSCI 2100  DIS 226

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  • 12647STSCI 2100  DIS 227

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  • 12648STSCI 2100  DIS 228

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  • 12649STSCI 2100  DIS 229

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  • 12820STSCI 2100  DIS 230

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  • 12821STSCI 2100  DIS 231

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  • 18009STSCI 2100  DIS 232

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  • 18010STSCI 2100  DIS 233

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  • 18011STSCI 2100  DIS 234

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 3 Credits GradeNoAud

  • 12256STSCI 2110  LEC 001

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  • 12257STSCI 2110  DIS 201

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  • 12258STSCI 2110  DIS 202

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  • 12259STSCI 2110  DIS 203

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 12754STSCI 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.

  • 12755STSCI 2150  LAB 401

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  • 12756STSCI 2150  LAB 402

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  • 12757STSCI 2150  LAB 403

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  • 12780STSCI 2150  LAB 404

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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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Enrollment Information
Syllabi: none
  • 12402STSCI 3080  LEC 001

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  • 12403STSCI 3080  DIS 201

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

  • 4 Credits GradeNoAud

  • 12650STSCI 3110  LEC 001

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  • 12651STSCI 3110  DIS 201

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  • 12652STSCI 3110  DIS 202

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  • 12653STSCI 3110  DIS 203

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  • 12654STSCI 3110  DIS 204

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory. Combined with: BTRY 3020NTRES 4130

  • 4 Credits Graded

  • 11597STSCI 3200  LEC 001

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  • Prerequisite: BTRY 3010 or 6010.

  • 11598STSCI 3200  LAB 401

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  • 11599STSCI 3200  LAB 402

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  • 12817STSCI 3200  LAB 403

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 11643STSCI 3510  LEC 001

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  • 11644STSCI 3510  DIS 201

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  • 11645STSCI 3510  DIS 202

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  • 11646STSCI 3510  DIS 203

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  • 11647STSCI 3510  DIS 204

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  • 11648STSCI 3510  DIS 205

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory. Combined with: BTRY 3520

  • 4 Credits Stdnt Opt

  • 10764STSCI 3520  LEC 001

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

  • 10765STSCI 3520  LAB 401

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STSCI 4010

An in-depth study of some of the principal ideas in the intellectual history of statistics, from the 18th century to the present day. Classical topics include (but are not limited to): regression, hypothesis ... view course details

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Enrollment Information
Syllabi: none
  •   Combined with: ILRST 4010

  • 4 Credits GradeNoAud

  • 15845STSCI 4010  LEC 001

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  • Prerequisite: Statistics at the level of STSCI 3110.

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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Enrollment Information
Syllabi: none
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  • 2 Credits Stdnt Opt

  • 11649STSCI 4060  LEC 001

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  • 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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11600STSCI 4090  LEC 001

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

  • 11601STSCI 4090  DIS 201

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STSCI 4100

Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.  Topics include MANOVA, principal components, factor ... view course details

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Enrollment Information
Syllabi: none
  •   Combined with: BTRY 4100ILRST 4100

  • 4 Credits Stdnt Opt

  • 12188STSCI 4100  LEC 001

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

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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Enrollment Information
Syllabi: none
  • 12189STSCI 4110  LEC 001

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  • 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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Enrollment Information
Syllabi: none
  •   Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 12656STSCI 4140  LEC 001

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550

  • 4 Credits Graded

  • 12261STSCI 4550  LEC 001

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

  • 12338STSCI 4550  DIS 201

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STSCI 4780

Bayesian data analysis uses probability theory as a kind of calculus of inference, specifying how to quantify and propagate uncertainty in data-based chains of reasoning. Students will learn the fundamental ... view course details

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Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 17165STSCI 4780  LEC 001

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  • Prerequisites: Basic multivariate differential and integral calculus (e.g., MATH 1120 or 2220), basic linear algebra (e.g., MATH 2210, 2310 or 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).

  • 17166STSCI 4780  LAB 401

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STSCI 4940

No description available. view course details

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Enrollment Information
Syllabi: none
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  • 1-3 Credits Stdnt Opt

  • 12194STSCI 4940  LEC 001

    • TBA
    • Wells, M

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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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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 12912STSCI 4970  IND 601

    • TBA
    • Wells, M

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STSCI 4980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

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Enrollment Information
Syllabi: none
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  • 2 Credits Sat/UnSat

  • 12922STSCI 4980  LAB 401

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  • Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management).

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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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 12307STSCI 4990  IND 601

    • TBA
    • Wells, M

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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 12525STSCI 4990  IND 602

    • TBA
    • Ruppert, D

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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 18372STSCI 4990  IND 603

    • TBA
    • Booth, J

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STSCI 4999

Research at the undergraduate level. view course details

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Enrollment Information
Syllabi: none
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  • 1-3 Credits Stdnt Opt

  • 18490STSCI 4999  RSC 702

    • TBA
    • Diciccio, T

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Enrollment Information
Syllabi: none
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  • 1-3 Credits Stdnt Opt

  • 11764STSCI 4999  RSC 701

    • TBA
    • Wells, M

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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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 17548STSCI 5065  LEC 001

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  • 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.

  • 17603STSCI 5065  LAB 201

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STSCI 5080

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

View Enrollment Information

Enrollment Information
Syllabi: none
  • 12400STSCI 5080  LEC 001

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  • 12401STSCI 5080  DIS 201

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

  • 3 Credits GradeNoAud

  • 12531STSCI 5110  LEC 001

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

  • 12532STSCI 5110  DIS 201

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  • 12533STSCI 5110  DIS 202

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  • 12534STSCI 5110  DIS 203

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

  • 4 Credits Graded

  • 12382STSCI 5640  LEC 001

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  • 12383STSCI 5640  DIS 201

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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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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 11226STSCI 5990  RSC 701

    • TBA
    • Yang, X

  •  
Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 12530STSCI 5990  RSC 702

    • TBA
    • Matteson, D

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Enrollment Information
Syllabi: none
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  • 1-4 Credits Stdnt Opt

  • 18519STSCI 5990  RSC 703

    • TBA
    • Lederer, J

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STSCI 5999

No description available. view course details

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Enrollment Information
Syllabi: none
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  • 4 Credits Graded

  • 12447STSCI 5999  DIS 201

    • TBA
    • Ruppert, D

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12449STSCI 5999  DIS 202

    • TBA
    • Fink, D

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12450STSCI 5999  DIS 203

    • TBA
    • Matteson, D

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12451STSCI 5999  DIS 204

    • TBA
    • Bunea, F

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12452STSCI 5999  DIS 205

    • TBA
    • Lederer, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12453STSCI 5999  DIS 206

    • TBA
    • Molinari, F

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12454STSCI 5999  DIS 207

    • TBA
    • Hooker, G

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12455STSCI 5999  DIS 208

    • TBA
    • Bunge, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12456STSCI 5999  DIS 209

    • TBA
    • Bien, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12457STSCI 5999  DIS 210

    • TBA
    • Booth, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12458STSCI 5999  DIS 211

    • TBA
    • Abowd, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12459STSCI 5999  DIS 212

    • TBA
    • Wegkamp, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12460STSCI 5999  DIS 213

    • TBA
    • Wells, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12461STSCI 5999  DIS 214

    • TBA
    • Velleman, P

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12462STSCI 5999  DIS 215

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12463STSCI 5999  DIS 216

    • TBA
    • Resnick, S

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12464STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12465STSCI 5999  DIS 218

    • TBA
    • Hong, Y

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12466STSCI 5999  DIS 219

    • TBA
    • Yang, X

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12467STSCI 5999  DIS 220

    • TBA
    • Woodard, D

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

STSCI 6000

No description available. view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1 Credit Sat/UnSat

  • 11507STSCI 6000  SEM 101

    • W
    • Wells, M

  •  

STSCI 6070

Introduction to functional data analysis for students planning to do research on this topic and related areas. Weekly homework assignments covering both theory and data analysis and an individual final ... view course details

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Enrollment Information
Syllabi: none
  •   Combined with: ORIE 6070

  • 3 Credits Stdnt Opt

  • 16326STSCI 6070  LEC 001

  •  
  • Prerequisites: ORIE 6700 or STSCI 6730

STSCI 6940

No description available. view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • Topic: Journal Club High Dimensional Statistical Inferenc

  • 12195STSCI 6940  LEC 001

  •  
  • Prerequisite: STSCI/MATH 6730, 6740, MATH 7740, or permission of the instructor.

STSCI 7999

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

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Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 11765STSCI 7999  RSC 701

    • TBA
    • Wells, M

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18207STSCI 7999  RSC 702

    • TBA
    • Fink, D

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18208STSCI 7999  RSC 703

    • TBA
    • Matteson, D

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18209STSCI 7999  RSC 704

    • TBA
    • Bunea, F

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18210STSCI 7999  RSC 705

    • TBA
    • Molinari, F

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18211STSCI 7999  RSC 706

    • TBA
    • Hooker, G

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18212STSCI 7999  RSC 707

    • TBA
    • Bunge, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18213STSCI 7999  RSC 708

    • TBA
    • Bien, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18214STSCI 7999  RSC 709

    • TBA
    • Booth, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18215STSCI 7999  RSC 710

    • TBA
    • Abowd, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18216STSCI 7999  RSC 711

    • TBA
    • Velleman, P

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18217STSCI 7999  RSC 712

    • TBA
    • Resnick, S

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18218STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18219STSCI 7999  RSC 714

    • TBA
    • Hong, Y

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/UnSat

  • 18220STSCI 7999  RSC 715

    • TBA
    • Wegkamp, M

  •  

STSCI 9999

Doctoral Level Dissertation Research. view course details

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Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11766STSCI 9999  RSC 701

    • TBA
    • Wells, M

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12482STSCI 9999  RSC 702

    • TBA
    • Fink, D

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12483STSCI 9999  RSC 703

    • TBA
    • Matteson, D

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12484STSCI 9999  RSC 704

    • TBA
    • Bunea, F

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12485STSCI 9999  RSC 705

    • TBA
    • Molinari, F

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12486STSCI 9999  RSC 706

    • TBA
    • Hooker, G

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12487STSCI 9999  RSC 707

    • TBA
    • Bunge, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12488STSCI 9999  RSC 708

    • TBA
    • Bien, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12489STSCI 9999  RSC 709

    • TBA
    • Booth, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12490STSCI 9999  RSC 710

    • TBA
    • Abowd, J

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12491STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12492STSCI 9999  RSC 712

    • TBA
    • Wells, M

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12493STSCI 9999  RSC 713

    • TBA
    • Velleman, P

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12494STSCI 9999  RSC 714

    • TBA
    • Staff

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12495STSCI 9999  RSC 715

    • TBA
    • Resnick, S

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12496STSCI 9999  RSC 716

    • TBA
    • Diciccio, T

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12497STSCI 9999  RSC 717

    • TBA
    • Hong, Y

  •  
Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12498STSCI 9999  RSC 718

    • TBA
    • Woodard, D

  •