Statistical Science (STSCI)Engineering

Showing 31 results.

Course descriptions provided by the Courses of Study 2019-2020.

STSCI 1380

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

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CS 1380ORIE 1380

  • 4 Credits Stdnt Opt

  • 12276STSCI 1380  LEC 001

    • TR
    • Entner, J

      Williamson, D

  • 12277STSCI 1380  DIS 201

    • W
    • Entner, J

      Williamson, D

  • 12278STSCI 1380  DIS 202

    • W
    • Entner, J

      Williamson, D

  • 12279STSCI 1380  DIS 203

    • W
    • Entner, J

      Williamson, D

  • 12280STSCI 1380  DIS 204

    • R
    • Entner, J

      Williamson, D

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  • 10809STSCI 2100  LEC 001

    • TR
    • Karns, M

  • 10810STSCI 2100  DIS 201

    • F
    • Karns, M

  • 10811STSCI 2100  DIS 202

    • F
    • Karns, M

  • 10812STSCI 2100  DIS 203

    • F
    • Karns, M

  • 10813STSCI 2100  DIS 204

    • F
    • Karns, M

  • 10814STSCI 2100  DIS 205

    • F
    • Karns, M

  • 10815STSCI 2100  DIS 206

    • F
    • Karns, M

  • 10816STSCI 2100  DIS 207

    • F
    • Karns, M

  • 10817STSCI 2100  DIS 208

    • F
    • Karns, M

  • 10818STSCI 2100  DIS 209

    • F
    • Karns, M

  • 10819STSCI 2100  DIS 210

    • F
    • Karns, M

  • 11612STSCI 2100  DIS 211

    • F
    • Karns, M

  • 11775STSCI 2100  DIS 212

    • F
    • Karns, M

  • 11776STSCI 2100  DIS 213

    • F
    • Karns, M

  • 11777STSCI 2100  DIS 214

    • F
    • Karns, M

  • 18364STSCI 2100  DIS 215

    • R
    • Karns, M

  • 12592STSCI 2100  DIS 216

    • F
    • Karns, M

  • 12593STSCI 2100  DIS 217

    • F
    • Karns, M

  • 18365STSCI 2100  DIS 218

    • R
    • Karns, M

  • 12594STSCI 2100  DIS 219

    • F
    • Karns, M

  • 11512STSCI 2100  DIS 220

    • F
    • Karns, M

  • 11513STSCI 2100  DIS 221

    • F
    • Karns, M

  • 11514STSCI 2100  DIS 222

    • F
    • Karns, M

  • 11515STSCI 2100  DIS 223

    • F
    • Karns, M

  • 11516STSCI 2100  DIS 224

    • F
    • Karns, M

  • 11517STSCI 2100  DIS 225

    • F
    • Karns, M

  • 11518STSCI 2100  DIS 226

    • F
    • Karns, M

  • 11519STSCI 2100  DIS 227

    • F
    • Karns, M

  • 11520STSCI 2100  DIS 228

    • F
    • Karns, M

  • 11521STSCI 2100  DIS 229

    • F
    • Karns, M

  • 11611STSCI 2100  DIS 230

    • F
    • Karns, M

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 3 Credits GradeNoAud

  • 11310STSCI 2110  LEC 001

    • TR
    • Packard, K

  • 11311STSCI 2110  DIS 201

    • F
    • Packard, K

  • 11312STSCI 2110  DIS 202

    • R
    • Packard, K

  • 11313STSCI 2110  DIS 203

    • F
    • Packard, K

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
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 11584STSCI 2150  LEC 001

    • MWF
    • Smith, M

  • 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.

  • 11585STSCI 2150  LAB 401

  • 11586STSCI 2150  LAB 402

  • 11587STSCI 2150  LAB 403

  • 11594STSCI 2150  LAB 404

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 11401STSCI 3080  LEC 001

    • MW
    • Bunea, F

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

  • 11402STSCI 3080  DIS 201

    • T
    • Bunea, F

  • 12267STSCI 3080  DIS 202

    • R
    • Bunea, F

STSCI 3090

This course will cover financial mathematics and financial instruments relevant to exam FM offered by the Society of Actuaries. Topics on the present and accumulated value of future cash flows will be ... view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3090

  • 4 Credits Opt NoAud

  • 17681STSCI 3090  LEC 001

    • TR
    • Entner, J

  • Prerequisites: Calculus I or permission from the instructor

  • 17682STSCI 3090  DIS 201

    • W
    • Entner, J

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits GradeNoAud

  • 11522STSCI 3110  LEC 001

    • TR
    • Diciccio, T

  • 11523STSCI 3110  DIS 201

    • R
    • Diciccio, T

  • 11524STSCI 3110  DIS 202

    • F
    • Diciccio, T

  • 11525STSCI 3110  DIS 203

    • F
    • Diciccio, T

  • 11526STSCI 3110  DIS 204

    • F
    • Diciccio, T

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
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3020

  • 4 Credits Stdnt Opt

  • 12001STSCI 3200  LEC 001

    • TR
    • Lloyd, R

  • Prerequisite: BTRY 3010 or 6010.

  • 12002STSCI 3200  LAB 401

    • F
    • Lloyd, R

  • 12003STSCI 3200  LAB 402

    • R
    • Lloyd, R

  • 12004STSCI 3200  LAB 403

    • F
    • Lloyd, R

  • 12340STSCI 3200  LAB 404

    • F
    • Lloyd, R

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 10947STSCI 3510  LEC 001

    • TR
    • Dai, J

  • 10948STSCI 3510  DIS 201

    • M
    • Dai, J

  • 10949STSCI 3510  DIS 202

    • T
    • Dai, J

  • 10950STSCI 3510  DIS 203

    • W
    • Dai, J

  • 10951STSCI 3510  DIS 204

    • R
    • Dai, J

  • 10952STSCI 3510  DIS 205

    • F
    • Dai, J

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
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 10953STSCI 4060  LEC 001

    • MWF
    • Yang, X

  • 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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 10927STSCI 4090  LEC 001

    • TR
    • Diciccio, T

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

  • 10928STSCI 4090  DIS 201

    • F
    • Diciccio, T

  • 12304STSCI 4090  DIS 202

    • F
    • Diciccio, T

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
  •   Regular Academic Session.  Combined with: BTRY 4110ILRST 4110

  • 3 Credits Graded

  • 11250STSCI 4110  LEC 001

    • TR
    • Smith, M

  • 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
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 11528STSCI 4140  LEC 001

    • MW
    • Bunge, J

STSCI 4520

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
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4520

  • 4 Credits Stdnt Opt

  • 10234STSCI 4520  LEC 001

    • MW
    • Booth, J

  • Prerequisite: BTRY 3080 or Math 4710, enrollment in MATH 2220 and MATH 2240 or equivalents. Previous programming experience is recommended.

  • 10235STSCI 4520  LAB 401

    • M
    • Booth, J

  • 11957STSCI 4520  LAB 402

    • W
    • Booth, J

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550

  • 4 Credits Graded

  • 11314STSCI 4550  LEC 001

    • TR
    • Jauch, M

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

  • 11360STSCI 4550  DIS 201

    • F
    • Jauch, M

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
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 17918STSCI 4780  LEC 001

    • TR
    • Loredo, T

  • 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).

  • 17921STSCI 4780  LAB 401

    • F
    • Loredo, T

  • 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).

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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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11255STSCI 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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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11659STSCI 4970  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11988STSCI 4970  IND 602

    • TBA
    • Smith, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12024STSCI 4970  IND 603

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12158STSCI 4970  IND 604

    • TBA
    • Packard, K

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
  •   Regular Academic Session. 

  • 2 Credits Sat/Unsat

  • 12307STSCI 4980  LAB 401

    • TBA
    • Entner, J

  • 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
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11347STSCI 4990  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11480STSCI 4990  IND 602

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11845STSCI 4990  IND 603

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11991STSCI 4990  IND 604

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11993STSCI 4990  IND 605

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12000STSCI 4990  IND 606

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12148STSCI 4990  IND 607

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12155STSCI 4990  IND 608

    • TBA
    • Hong, Y

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12406STSCI 4990  IND 609

    • TBA
    • Ning, Y

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12416STSCI 4990  IND 610

    • TBA
    • Wegkamp, M

STSCI 4999

Research at the undergraduate level. view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11004STSCI 4999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11874STSCI 4999  RSC 702

    • TBA
    • Diciccio, T

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
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 11722STSCI 5065  LEC 001

    • MW
    • Yang, X

  • 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.

  • 11724STSCI 5065  LAB 401

    • F
    • Yang, X

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
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 3 Credits GradeNoAud

  • 11484STSCI 5110  LEC 001

    • TR
    • Packard, K

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

  • 11485STSCI 5110  DIS 201

    • F
    • Packard, K

  • 11486STSCI 5110  DIS 202

    • R
    • Packard, K

  • 11487STSCI 5110  DIS 203

    • F
    • Packard, K

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: 1 available
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Stdnt Opt

  • 11394STSCI 5640  LEC 001

    • MW
    • Ruppert, D

  • 11395STSCI 5640  DIS 201

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
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10608STSCI 5990  RSC 701

    • TBA
    • Yang, X

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11886STSCI 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
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11427STSCI 5999  DIS 201

    • TBA
    • Vermeylen, F

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11429STSCI 5999  DIS 202

    • TBA
    • Basu, S

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11430STSCI 5999  DIS 203

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11431STSCI 5999  DIS 204

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11432STSCI 5999  DIS 205

    • TBA
    • Ning, Y

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11433STSCI 5999  DIS 206

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11434STSCI 5999  DIS 207

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11435STSCI 5999  DIS 208

    • TBA
    • Bunge, J

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11436STSCI 5999  DIS 210

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11437STSCI 5999  DIS 211

    • TBA
    • Guinness, J

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11438STSCI 5999  DIS 212

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11439STSCI 5999  DIS 213

    • TBA
    • Wells, M

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11440STSCI 5999  DIS 214

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11441STSCI 5999  DIS 215

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11442STSCI 5999  DIS 216

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11443STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11444STSCI 5999  DIS 218

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11445STSCI 5999  DIS 219

    • TBA
    • Yang, X

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

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11446STSCI 5999  DIS 220

    • TBA
    • Smith, M

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

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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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 4 Credits Stdnt Opt

  • 18016STSCI 6730  LEC 001

    • T
    • Bunea, F

  • 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

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

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18234STSCI 6750  LEC 001

    • MW
    • Kato, K

  • Prerequisites: MATH 6710 or permission of instructor

STSCI 6940

No description available. view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12334STSCI 6940  LEC 001

    • TBA
    • Staff

  • Prerequisites: MATH 6710, Probability Theory I

STSCI 7999

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

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11005STSCI 7999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11827STSCI 7999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11828STSCI 7999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11829STSCI 7999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11830STSCI 7999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11831STSCI 7999  RSC 708

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11832STSCI 7999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11833STSCI 7999  RSC 712

    • TBA
    • Resnick, S

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11834STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11835STSCI 7999  RSC 715

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12629STSCI 7999  RSC 716

    • TBA
    • Guinness, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12630STSCI 7999  RSC 717

    • TBA
    • Basu, S

STSCI 9999

Doctoral Level Dissertation Research. view course details

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11006STSCI 9999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11456STSCI 9999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11457STSCI 9999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11458STSCI 9999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11459STSCI 9999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11460STSCI 9999  RSC 708

    • TBA
    • Guinness, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11461STSCI 9999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11462STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11463STSCI 9999  RSC 715

    • TBA
    • Basu, S

Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11464STSCI 9999  RSC 716

    • TBA
    • Diciccio, T