Statistical Science (STSCI)Engineering

Showing 28 results.

Course descriptions provided by the Courses of Study 2018-2019.

STSCI 1380

For description, see CS 1380. view course details

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

  • 4 Credits Graded

  • 12466STSCI 1380  LEC 001

  • 12468STSCI 1380  DIS 201

  • 12469STSCI 1380  DIS 202

  • 12470STSCI 1380  DIS 203

  • 12472STSCI 1380  DIS 205

  • 12502STSCI 1380  DIS 207

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

  • 10827STSCI 2100  LEC 001

  • 10828STSCI 2100  DIS 201

  • 10829STSCI 2100  DIS 202

  • 10830STSCI 2100  DIS 203

  • 10831STSCI 2100  DIS 204

  • 10832STSCI 2100  DIS 205

  • 10833STSCI 2100  DIS 206

  • 10834STSCI 2100  DIS 207

  • 10835STSCI 2100  DIS 208

  • 10836STSCI 2100  DIS 209

  • 10837STSCI 2100  DIS 210

  • 11662STSCI 2100  DIS 211

  • 11845STSCI 2100  DIS 212

  • 11846STSCI 2100  DIS 213

  • 11847STSCI 2100  DIS 214

  • 17523STSCI 2100  DIS 215

  • 17524STSCI 2100  DIS 216

  • 17525STSCI 2100  DIS 217

  • 17526STSCI 2100  DIS 218

  • 17527STSCI 2100  DIS 219

  • 11557STSCI 2100  DIS 220

  • 11558STSCI 2100  DIS 221

  • 11559STSCI 2100  DIS 222

  • 11560STSCI 2100  DIS 223

  • 11561STSCI 2100  DIS 224

  • 11562STSCI 2100  DIS 225

  • 11563STSCI 2100  DIS 226

  • 11564STSCI 2100  DIS 227

  • 11565STSCI 2100  DIS 228

  • 11566STSCI 2100  DIS 229

  • 11661STSCI 2100  DIS 230

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

  • 11344STSCI 2110  LEC 001

  • 11345STSCI 2110  DIS 201

  • 11346STSCI 2110  DIS 202

  • 11347STSCI 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: 1 available
  •   Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 11634STSCI 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.

  • 11636STSCI 2150  LAB 402

  • 11637STSCI 2150  LAB 403

  • 11644STSCI 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 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 11439STSCI 3080  LEC 001

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

  • 11440STSCI 3080  DIS 201

  • 12446STSCI 3080  DIS 202

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

  • 11567STSCI 3110  LEC 001

  • 11568STSCI 3110  DIS 201

  • 11569STSCI 3110  DIS 202

  • 11570STSCI 3110  DIS 203

  • 11571STSCI 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 3020

  • 4 Credits Stdnt Opt

  • 12104STSCI 3200  LEC 001

  • 12105STSCI 3200  LAB 401

  • 12106STSCI 3200  LAB 402

  • 12107STSCI 3200  LAB 403

  • 12553STSCI 3200  LAB 404

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

  • 10971STSCI 3510  LEC 001

  • 10972STSCI 3510  DIS 201

  • 10973STSCI 3510  DIS 202

  • 10974STSCI 3510  DIS 203

  • 10975STSCI 3510  DIS 204

  • 10976STSCI 3510  DIS 205

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

  • 10977STSCI 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

  • 10949STSCI 4090  LEC 001

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

  • 10950STSCI 4090  DIS 201

  • 12499STSCI 4090  DIS 202

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: 1 available
  •   Combined with: BTRY 4110ILRST 4110

  • 4 Credits Graded

  • 11284STSCI 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

  • 11573STSCI 4140  LEC 001

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

  • 4 Credits Stdnt Opt

  • 10240STSCI 4520  LEC 001

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

  • 10241STSCI 4520  LAB 401

  • 12050STSCI 4520  LAB 402

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

  • 11348STSCI 4550  LEC 001

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

  • 11395STSCI 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

  • 11289STSCI 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

  • 11709STSCI 4970  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12087STSCI 4970  IND 602

    • TBA
    • Smith, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12130STSCI 4970  IND 603

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12291STSCI 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

  • 12504STSCI 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

  • 11381STSCI 4990  IND 601

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11521STSCI 4990  IND 602

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11916STSCI 4990  IND 603

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12091STSCI 4990  IND 604

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12094STSCI 4990  IND 605

    • TBA
    • Staff

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12103STSCI 4990  IND 606

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12281STSCI 4990  IND 607

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12288STSCI 4990  IND 608

    • TBA
    • Hong, Y

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12648STSCI 4990  IND 609

    • TBA
    • Ning, Y

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 12659STSCI 4990  IND 610

    • TBA
    • Wegkamp, M

STSCI 4999

Research at the undergraduate level. view course details

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Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 11034STSCI 4999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-3 Credits Stdnt Opt

  • 11945STSCI 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

  • 11789STSCI 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.

  • 11791STSCI 5065  LAB 401

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

  • 11525STSCI 5110  LEC 001

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

  • 11526STSCI 5110  DIS 201

  • 11527STSCI 5110  DIS 202

  • 11528STSCI 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

  • 11430STSCI 5640  LEC 001

  • 11431STSCI 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

  • 10624STSCI 5990  RSC 701

    • TBA
    • Yang, X

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11524STSCI 5990  RSC 702

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-4 Credits Stdnt Opt

  • 11957STSCI 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

  • 11465STSCI 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

  • 11467STSCI 5999  DIS 202

    • TBA
    • Basu, S

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11468STSCI 5999  DIS 203

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11469STSCI 5999  DIS 204

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11470STSCI 5999  DIS 205

    • TBA
    • Ning, Y

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11471STSCI 5999  DIS 206

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11472STSCI 5999  DIS 207

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11473STSCI 5999  DIS 208

    • TBA
    • Bunge, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11475STSCI 5999  DIS 210

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11476STSCI 5999  DIS 211

    • TBA
    • Guinness, J

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11477STSCI 5999  DIS 212

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11478STSCI 5999  DIS 213

    • TBA
    • Wells, M

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11479STSCI 5999  DIS 214

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11480STSCI 5999  DIS 215

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11481STSCI 5999  DIS 216

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11482STSCI 5999  DIS 217

    • TBA
    • Diciccio, T

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11483STSCI 5999  DIS 218

    • TBA
    • Staff

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11484STSCI 5999  DIS 219

    • TBA
    • Yang, X

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

Enrollment Information
Syllabi: none
  •  

  • 4 Credits Graded

  • 11485STSCI 5999  DIS 220

    • TBA
    • Smith, M

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

STSCI 6520

Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization ... view course details

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Enrollment Information
Syllabi: none
  •   Combined with: BTRY 6520

  • 4 Credits Stdnt Opt

  • 16357STSCI 6520  LEC 001

  • Corequisites: ORIE 6700/Math 6730 (or equivalent) and at least one course in probability, or permission of instructor.

STSCI 6940

No description available. view course details

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Enrollment Information
Syllabi: none
  •  

  • 3 Credits GradeNoAud

  • Topic: Advanced Probability for Statisticians

  • 12537STSCI 6940  LEC 001

  • Prerequisites: MATH 6710, Probability Theory I

Enrollment Information
Syllabi: none
  •  

  • 3 Credits GradeNoAud

  • Topic: Special Topics on Casual Inference

  • 18266STSCI 6940  LEC 002

  • Prerequisites: STSCI 6730, Mathematical Statistics I

STSCI 7999

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

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11035STSCI 7999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11898STSCI 7999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11899STSCI 7999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11900STSCI 7999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11901STSCI 7999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11902STSCI 7999  RSC 708

    • TBA
    • Ruppert, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11903STSCI 7999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11904STSCI 7999  RSC 712

    • TBA
    • Resnick, S

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11905STSCI 7999  RSC 713

    • TBA
    • Diciccio, T

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 11906STSCI 7999  RSC 715

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 17911STSCI 7999  RSC 716

    • TBA
    • Guinness, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Sat/Unsat

  • 17912STSCI 7999  RSC 717

    • TBA
    • Basu, S

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11036STSCI 9999  RSC 701

    • TBA
    • Wells, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11497STSCI 9999  RSC 703

    • TBA
    • Matteson, D

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11498STSCI 9999  RSC 704

    • TBA
    • Bunea, F

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11499STSCI 9999  RSC 706

    • TBA
    • Hooker, G

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11500STSCI 9999  RSC 707

    • TBA
    • Bunge, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11501STSCI 9999  RSC 708

    • TBA
    • Guinness, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11502STSCI 9999  RSC 709

    • TBA
    • Booth, J

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11503STSCI 9999  RSC 711

    • TBA
    • Wegkamp, M

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11504STSCI 9999  RSC 715

    • TBA
    • Basu, S

Enrollment Information
Syllabi: none
  •  

  • 1-9 Credits Stdnt Opt

  • 11505STSCI 9999  RSC 716

    • TBA
    • Diciccio, T