Statistical Science (STSCI)Engineering

Showing 26 results.

Course descriptions provided by the Courses of Study 2015-2016.

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

  • 11085STSCI 2100  LEC 001

  • 11086STSCI 2100  DIS 201

  • 11087STSCI 2100  DIS 202

  • 11088STSCI 2100  DIS 203

  • 11089STSCI 2100  DIS 204

  • 11090STSCI 2100  DIS 205

  • 11091STSCI 2100  DIS 206

  • 11092STSCI 2100  DIS 207

  • 11093STSCI 2100  DIS 208

  • 11094STSCI 2100  DIS 209

  • 11095STSCI 2100  DIS 210

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

  • 4 Credits GradeNoAud

  • 12137STSCI 2100  LEC 002

  • 12138STSCI 2100  DIS 220

  • 12139STSCI 2100  DIS 221

  • 12140STSCI 2100  DIS 222

  • 12141STSCI 2100  DIS 223

  • 12142STSCI 2100  DIS 224

  • 12143STSCI 2100  DIS 225

  • 12144STSCI 2100  DIS 226

  • 12145STSCI 2100  DIS 227

  • 12146STSCI 2100  DIS 228

  • 12147STSCI 2100  DIS 229

  • 12282STSCI 2100  DIS 230

  • 12283STSCI 2100  DIS 231

  • 12654STSCI 2100  DIS 232

  • 12655STSCI 2100  DIS 233

  • 12656STSCI 2100  DIS 234

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

  • 11828STSCI 2110  LEC 001

  • 11829STSCI 2110  DIS 201

  • 11830STSCI 2110  DIS 202

  • 11831STSCI 2110  DIS 203

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

  • 12233STSCI 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.

  • 12234STSCI 2150  LAB 401

  • 12235STSCI 2150  LAB 402

  • 12236STSCI 2150  LAB 403

  • 12258STSCI 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
  •   Choose one lecture and one discussion. Combined with: BTRY 3080

  • 4 Credits Stdnt Opt

  • 11961STSCI 3080  LEC 001

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

  • 11962STSCI 3080  DIS 201

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

  • 12148STSCI 3110  LEC 001

  • 12149STSCI 3110  DIS 201

  • 12150STSCI 3110  DIS 202

  • 12151STSCI 3110  DIS 203

  • 12152STSCI 3110  DIS 204

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

  • 11227STSCI 3200  LEC 001

  • Prerequisite: BTRY 3010 or 6010.

  • 11228STSCI 3200  LAB 401

  • 11229STSCI 3200  LAB 402

  • 12280STSCI 3200  LAB 403

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

  • 11268STSCI 3510  LEC 001

  • 11269STSCI 3510  DIS 201

  • 11270STSCI 3510  DIS 202

  • 11271STSCI 3510  DIS 203

  • 11272STSCI 3510  DIS 204

  • 11273STSCI 3510  DIS 205

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

  • 10420STSCI 3520  LEC 001

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

  • 10421STSCI 3520  LAB 401

  • 18455STSCI 3520  LAB 402

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
  •  

  • 2 Credits Stdnt Opt

  • 11274STSCI 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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Enrollment Information
Syllabi: none
  •   Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11230STSCI 4090  LEC 001

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

  • 11231STSCI 4090  DIS 201

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

  • 11762STSCI 4100  LEC 001

  • 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
  •   Combined with: BTRY 4110ILRST 4110

  • 4 Credits Graded

  • 11763STSCI 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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Enrollment Information
Syllabi: none
  •   Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 12154STSCI 4140  LEC 001

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

  • 11833STSCI 4550  LEC 001

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

  • 11906STSCI 4550  DIS 201

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
  •  

  • 1-3 Credits Stdnt Opt

  • 11768STSCI 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
  •  

  • 1-4 Credits Stdnt Opt

  • 12352STSCI 4970  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 18895STSCI 4970  IND 602

    • TBA
    • Smith, M

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
  •  

  • 1-4 Credits Stdnt Opt

  • 11876STSCI 4990  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12074STSCI 4990  IND 602

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12775STSCI 4990  IND 603

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 18930STSCI 4990  IND 604

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 18959STSCI 4990  IND 605

    • TBA
    • Earls, C

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 19068STSCI 4990  IND 606

    • TBA
    • Hooker, G

STSCI 4999

Research at the undergraduate level. view course details

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Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 11382STSCI 4999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 12810STSCI 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
  •   Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 12555STSCI 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.

  • 12561STSCI 5065  LAB 201

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

  • 12080STSCI 5110  LEC 001

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

  • 12081STSCI 5110  DIS 201

  • 12082STSCI 5110  DIS 202

  • 12083STSCI 5110  DIS 203

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

  • 11949STSCI 5640  LEC 001

  • 11950STSCI 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
  •  

  • 1-4 Credits Stdnt Opt

  • 10870STSCI 5990  RSC 701

    • TBA
    • Yang, X

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12079STSCI 5990  RSC 702

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12827STSCI 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
  •  

  • 4 Credits Graded

  • 11999STSCI 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
Syllabi: none
  •  

  • 4 Credits Graded

  • 12001STSCI 5999  DIS 202

    • TBA
    • Fink, D

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12002STSCI 5999  DIS 203

    • TBA
    • Matteson, D

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12003STSCI 5999  DIS 204

    • TBA
    • Bunea, F

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12004STSCI 5999  DIS 205

    • TBA
    • Volgushev, S

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12005STSCI 5999  DIS 206

    • TBA
    • Molinari, F

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12006STSCI 5999  DIS 207

    • TBA
    • Hooker, G

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12007STSCI 5999  DIS 208

    • TBA
    • Bunge, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12008STSCI 5999  DIS 209

    • TBA
    • Bien, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12009STSCI 5999  DIS 210

    • TBA
    • Booth, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12010STSCI 5999  DIS 211

    • TBA
    • Abowd, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12011STSCI 5999  DIS 212

    • TBA
    • Wegkamp, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12012STSCI 5999  DIS 213

    • TBA
    • Wells, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12013STSCI 5999  DIS 214

    • TBA
    • Velleman, P

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12014STSCI 5999  DIS 215

    • TBA
    • Loredo, T

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12015STSCI 5999  DIS 216

    • TBA
    • Resnick, S

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12016STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12017STSCI 5999  DIS 218

    • TBA
    • Hong, Y

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12018STSCI 5999  DIS 219

    • TBA
    • Yang, X

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 12019STSCI 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
  •   Choose one lecture and one discussion. Combined with: MATH 6730

  • 4 Credits Stdnt Opt

  • 17961STSCI 6730  LEC 001

  • Prerequisites: Undergraduate real analysis and probability (MATH 3110, MATH 4710). The Audit option requires permission of the Instructor.

  • 17962STSCI 6730  DIS 201

    • W
    • Bunea, F

STSCI 7999

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

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Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11383STSCI 7999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12719STSCI 7999  RSC 702

    • TBA
    • Fink, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12720STSCI 7999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12721STSCI 7999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12722STSCI 7999  RSC 705

    • TBA
    • Molinari, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12723STSCI 7999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12724STSCI 7999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12725STSCI 7999  RSC 708

    • TBA
    • Bien, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12726STSCI 7999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12727STSCI 7999  RSC 710

    • TBA
    • Abowd, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12728STSCI 7999  RSC 711

    • TBA
    • Velleman, P

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12729STSCI 7999  RSC 712

    • TBA
    • Resnick, S

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12730STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12731STSCI 7999  RSC 714

    • TBA
    • Hong, Y

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12732STSCI 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

  • 11384STSCI 9999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12031STSCI 9999  RSC 702

    • TBA
    • Fink, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12032STSCI 9999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12033STSCI 9999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12034STSCI 9999  RSC 705

    • TBA
    • Molinari, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12035STSCI 9999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12036STSCI 9999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12037STSCI 9999  RSC 708

    • TBA
    • Bien, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12038STSCI 9999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12039STSCI 9999  RSC 710

    • TBA
    • Abowd, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12040STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12041STSCI 9999  RSC 712

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12042STSCI 9999  RSC 713

    • TBA
    • Velleman, P

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12043STSCI 9999  RSC 714

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12044STSCI 9999  RSC 715

    • TBA
    • Resnick, S

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12045STSCI 9999  RSC 716

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12046STSCI 9999  RSC 717

    • TBA
    • Hong, Y

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 12047STSCI 9999  RSC 718

    • TBA
    • Staff