Statistical Science (STSCI)Engineering

Showing 26 results.

Course descriptions provided by the Courses of Study 2017-2018.

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

  • 10876STSCI 2100  LEC 001

    • TR
    • Karns, M

  • 10877STSCI 2100  DIS 201

    • F
    • Karns, M

  • 10878STSCI 2100  DIS 202

    • F
    • Karns, M

  • 10879STSCI 2100  DIS 203

    • F
    • Karns, M

  • 10880STSCI 2100  DIS 204

    • F
    • Karns, M

  • 10881STSCI 2100  DIS 205

    • F
    • Karns, M

  • 10882STSCI 2100  DIS 206

    • F
    • Karns, M

  • 10883STSCI 2100  DIS 207

    • F
    • Karns, M

  • 10884STSCI 2100  DIS 208

    • F
    • Karns, M

  • 10885STSCI 2100  DIS 209

    • F
    • Karns, M

  • 10886STSCI 2100  DIS 210

    • F
    • Karns, M

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

  • 4 Credits GradeNoAud

  • 11669STSCI 2100  LEC 002

    • MW
    • Packard, K

  • 11670STSCI 2100  DIS 220

    • F
    • Packard, K

  • 11671STSCI 2100  DIS 221

    • F
    • Packard, K

  • 11672STSCI 2100  DIS 222

    • F
    • Packard, K

  • 11673STSCI 2100  DIS 223

    • F
    • Packard, K

  • 11674STSCI 2100  DIS 224

    • F
    • Packard, K

  • 11675STSCI 2100  DIS 225

    • F
    • Packard, K

  • 11676STSCI 2100  DIS 226

    • R
    • Packard, K

  • 11677STSCI 2100  DIS 227

    • R
    • Packard, K

  • 11678STSCI 2100  DIS 228

    • R
    • Packard, K

  • 11679STSCI 2100  DIS 229

    • R
    • Packard, K

  • 11785STSCI 2100  DIS 230

    • F
    • Packard, K

  • 11786STSCI 2100  DIS 231

    • F
    • Packard, K

  • 11996STSCI 2100  DIS 232

    • R
    • Packard, K

  • 11997STSCI 2100  DIS 233

    • R
    • Packard, K

  • 11998STSCI 2100  DIS 234

    • F
    • Packard, K

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

  • 11438STSCI 2110  LEC 001

    • MW
    • Diciccio, T

  • 11439STSCI 2110  DIS 201

    • F
    • Diciccio, T

  • 11440STSCI 2110  DIS 202

    • R
    • Diciccio, T

  • 11441STSCI 2110  DIS 203

    • F
    • Diciccio, T

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

  • 11757STSCI 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.

  • 11758STSCI 2150  LAB 401

    • T
    • Smith, M

  • 11759STSCI 2150  LAB 402

    • F
    • Smith, M

  • 11760STSCI 2150  LAB 403

    • R
    • Smith, M

  • 11768STSCI 2150  LAB 404

    • W
    • Smith, M

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 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 11539STSCI 3080  LEC 001

    • MW
    • Bunea, F

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

  • 11540STSCI 3080  DIS 201

    • T
    • Bunea, F

  • 17857STSCI 3080  DIS 202

    • R
    • Bunea, F

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

  • 11680STSCI 3110  LEC 001

    • TR
    • Diciccio, T

  • 11681STSCI 3110  DIS 201

    • R
    • Diciccio, T

  • 11682STSCI 3110  DIS 202

    • F
    • Diciccio, T

  • 11683STSCI 3110  DIS 203

    • F
    • Diciccio, T

  • 11684STSCI 3110  DIS 204

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

  • 4 Credits Stdnt Opt

  • 12319STSCI 3200  LEC 001

    • TR
    • Staff

  • 12320STSCI 3200  LAB 401

    • T
    • Staff

  • 12321STSCI 3200  LAB 402

    • T
    • Staff

  • 12322STSCI 3200  LAB 403

    • T
    • Staff

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

  • 11032STSCI 3510  LEC 001

    • MWF
    • Dai, J

  • 11033STSCI 3510  DIS 201

    • M
    • Dai, J

  • 11034STSCI 3510  DIS 202

    • T
    • Dai, J

  • 11035STSCI 3510  DIS 203

    • W
    • Dai, J

  • 11036STSCI 3510  DIS 204

    • R
    • Dai, J

  • 11037STSCI 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
  •  

  • 3 Credits Stdnt Opt

  • 11038STSCI 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
  •   Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11008STSCI 4090  LEC 001

    • TR
    • Wells, M

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

  • 11009STSCI 4090  DIS 201

    • F
    • Wells, M

  • 18035STSCI 4090  DIS 202

    • F
    • Wells, M

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

  • 11377STSCI 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
  •   Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 11686STSCI 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: 1 available
  •   Choose one lecture and one laboratory. Combined with: BTRY 4520

  • 4 Credits Stdnt Opt

  • 10264STSCI 4520  LEC 001

    • TR
    • Hooker, G

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

  • 10265STSCI 4520  LAB 401

    • M
    • Hooker, G

  • 12246STSCI 4520  LAB 402

    • W
    • Hooker, G

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

  • 11443STSCI 4550  LEC 001

    • TR
    • Wilms, I

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

  • 11494STSCI 4550  DIS 201

    • F
    • Wilms, I

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

  • 11382STSCI 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

  • 11833STSCI 4970  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12294STSCI 4970  IND 602

    • TBA
    • Smith, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12364STSCI 4970  IND 603

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12613STSCI 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
  •  

  • 2 Credits Sat/Unsat

  • 18047STSCI 4980  LAB 401

    • TBA
    • Wells, M

  • 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
  •  

  • 1-4 Credits Stdnt Opt

  • 11479STSCI 4990  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11624STSCI 4990  IND 602

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12070STSCI 4990  IND 603

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12299STSCI 4990  IND 604

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12302STSCI 4990  IND 605

    • TBA
    • Earls, C

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12317STSCI 4990  IND 606

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12599STSCI 4990  IND 607

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12610STSCI 4990  IND 608

    • TBA
    • Staff

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 11116STSCI 4999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 12100STSCI 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

  • 11935STSCI 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.

  • 11938STSCI 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

View Enrollment Information

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

  • 3 Credits GradeNoAud

  • 11629STSCI 5110  LEC 001

    • MW
    • Diciccio, T

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

  • 11630STSCI 5110  DIS 201

    • F
    • Diciccio, T

  • 11631STSCI 5110  DIS 202

    • R
    • Diciccio, T

  • 11632STSCI 5110  DIS 203

    • F
    • Diciccio, T

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

  • 11529STSCI 5640  LEC 001

    • MW
    • Matteson, D

  • 11530STSCI 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

  • 10669STSCI 5990  RSC 701

    • TBA
    • Yang, X

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11628STSCI 5990  RSC 702

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12116STSCI 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

  • 11566STSCI 5999  DIS 201

    • TBA
    • Staff

  • 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

  • 11568STSCI 5999  DIS 202

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11569STSCI 5999  DIS 203

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11570STSCI 5999  DIS 204

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11571STSCI 5999  DIS 205

    • TBA
    • Ning, Y

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11572STSCI 5999  DIS 206

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11573STSCI 5999  DIS 207

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11574STSCI 5999  DIS 208

    • TBA
    • Bunge, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11575STSCI 5999  DIS 209

    • TBA
    • Wilms, I

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11576STSCI 5999  DIS 210

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11577STSCI 5999  DIS 211

    • TBA
    • Guinness, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11578STSCI 5999  DIS 212

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11579STSCI 5999  DIS 213

    • TBA
    • Wells, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11580STSCI 5999  DIS 214

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11581STSCI 5999  DIS 215

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11582STSCI 5999  DIS 216

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11583STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11584STSCI 5999  DIS 218

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11585STSCI 5999  DIS 219

    • TBA
    • Yang, X

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11586STSCI 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

  • 12197STSCI 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.

  • 12198STSCI 6730  DIS 201

    • W
    • Bunea, F

STSCI 7999

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

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11117STSCI 7999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12052STSCI 7999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12053STSCI 7999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12054STSCI 7999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12055STSCI 7999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12056STSCI 7999  RSC 708

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12057STSCI 7999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12058STSCI 7999  RSC 712

    • TBA
    • Resnick, S

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12059STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 12060STSCI 7999  RSC 715

    • TBA
    • Wegkamp, M

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11118STSCI 9999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11598STSCI 9999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11599STSCI 9999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11600STSCI 9999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11601STSCI 9999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11602STSCI 9999  RSC 708

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11603STSCI 9999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11604STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11605STSCI 9999  RSC 715

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11606STSCI 9999  RSC 716

    • TBA
    • Diciccio, T