Statistical Science (STSCI)Engineering

Showing 31 results.

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

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

  • 4 Credits Graded

  • 18397 STSCI 1380   LEC 001

  • 18398 STSCI 1380   DIS 201

  • 18399 STSCI 1380   DIS 202

  • 18400 STSCI 1380   DIS 203

  • 18402 STSCI 1380   DIS 205

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

  • 4 Credits GradeNoAud

  • 10876 STSCI 2100   LEC 001

  • 10877 STSCI 2100   DIS 201

  • 10878 STSCI 2100   DIS 202

  • 10879 STSCI 2100   DIS 203

  • 10880 STSCI 2100   DIS 204

  • 10881 STSCI 2100   DIS 205

  • 10882 STSCI 2100   DIS 206

  • 10883 STSCI 2100   DIS 207

  • 10884 STSCI 2100   DIS 208

  • 10885 STSCI 2100   DIS 209

  • 10886 STSCI 2100   DIS 210

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

  • 4 Credits GradeNoAud

  • 11669 STSCI 2100   LEC 002

  • 11670 STSCI 2100   DIS 220

  • 11671 STSCI 2100   DIS 221

  • 11672 STSCI 2100   DIS 222

  • 11673 STSCI 2100   DIS 223

  • 11674 STSCI 2100   DIS 224

  • 11675 STSCI 2100   DIS 225

  • 11676 STSCI 2100   DIS 226

  • 11677 STSCI 2100   DIS 227

  • 11678 STSCI 2100   DIS 228

  • 11679 STSCI 2100   DIS 229

  • 11785 STSCI 2100   DIS 230

  • 11786 STSCI 2100   DIS 231

  • 11996 STSCI 2100   DIS 232

  • 11997 STSCI 2100   DIS 233

  • 11998 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 3 Credits GradeNoAud

  • 11438 STSCI 2110   LEC 001

  • 11439 STSCI 2110   DIS 201

  • 11440 STSCI 2110   DIS 202

  • 11441 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 11757 STSCI 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.

  • 11758 STSCI 2150   LAB 401

  • 11759 STSCI 2150   LAB 402

  • 11760 STSCI 2150   LAB 403

  • 11768 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  • 11539 STSCI 3080   LEC 001

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

  • 11540 STSCI 3080   DIS 201

  • 17857 STSCI 3080   DIS 202

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

  • 4 Credits Opt NoAud

  • 18679 STSCI 3090   LEC 001

  • 18689 STSCI 3090   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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits GradeNoAud

  • 11680 STSCI 3110   LEC 001

  • 11681 STSCI 3110   DIS 201

  • 11682 STSCI 3110   DIS 202

  • 11683 STSCI 3110   DIS 203

  • 11684 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3020

  • 4 Credits Stdnt Opt

  • 12319 STSCI 3200   LEC 001

  • 12320 STSCI 3200   LAB 401

  • 12321 STSCI 3200   LAB 402

  • 12322 STSCI 3200   LAB 403

  • 18302 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 11032 STSCI 3510   LEC 001

  • 11033 STSCI 3510   DIS 201

  • 11034 STSCI 3510   DIS 202

  • 11035 STSCI 3510   DIS 203

  • 11036 STSCI 3510   DIS 204

  • 11037 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 11038 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090

  • 4 Credits Graded

  • 11008 STSCI 4090   LEC 001

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

  • 11009 STSCI 4090   DIS 201

  • 18035 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110ILRST 4110

  • 4 Credits Graded

  • 11377 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140

  • 4 Credits Stdnt Opt

  • 11686 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4520

  • 4 Credits Stdnt Opt

  • 10264 STSCI 4520   LEC 001

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

  • 10265 STSCI 4520   LAB 401

  • 12246 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550

  • 4 Credits Graded

  • 11443 STSCI 4550   LEC 001

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

  • 11494 STSCI 4550   DIS 201

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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

  • 18152 STSCI 4780   LEC 001

  • 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).

  • 18155 STSCI 4780   LAB 401

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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Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11382 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11833 STSCI 4970   IND 601

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12294 STSCI 4970   IND 602

    • TBA
    • Smith, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12364 STSCI 4970   IND 603

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12613 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Sat/Unsat

  • 18047 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11479 STSCI 4990   IND 601

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11624 STSCI 4990   IND 602

    • TBA
    • Ruppert, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12070 STSCI 4990   IND 603

    • TBA
    • Booth, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12299 STSCI 4990   IND 604

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12302 STSCI 4990   IND 605

    • TBA
    • Earls, C

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12317 STSCI 4990   IND 606

    • TBA
    • Hooker, G

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12599 STSCI 4990   IND 607

    • TBA
    • Bunge, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12610 STSCI 4990   IND 608

    • TBA
    • Hong, Y

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18822 STSCI 4990   IND 609

    • TBA
    • Ning, Y

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18861 STSCI 4990   IND 610

    • TBA
    • Wegkamp, M

STSCI 4999

Research at the undergraduate level. view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11116 STSCI 4999   RSC 701

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 12100 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory.

  • 3 Credits Stdnt Opt

  • 11935 STSCI 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.

  • 11938 STSCI 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

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

  • 3 Credits GradeNoAud

  • 11629 STSCI 5110   LEC 001

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

  • 11630 STSCI 5110   DIS 201

  • 11631 STSCI 5110   DIS 202

  • 11632 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

  • 11529 STSCI 5640   LEC 001

  • 11530 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10669 STSCI 5990   RSC 701

    • TBA
    • Yang, X

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11628 STSCI 5990   RSC 702

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12116 STSCI 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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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11566 STSCI 5999   DIS 201

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11568 STSCI 5999   DIS 202

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11569 STSCI 5999   DIS 203

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11570 STSCI 5999   DIS 204

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11571 STSCI 5999   DIS 205

    • TBA
    • Ning, Y

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11572 STSCI 5999   DIS 206

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11573 STSCI 5999   DIS 207

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11574 STSCI 5999   DIS 208

    • TBA
    • Bunge, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11575 STSCI 5999   DIS 209

    • TBA
    • Wilms, I

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11576 STSCI 5999   DIS 210

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11577 STSCI 5999   DIS 211

    • TBA
    • Guinness, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11578 STSCI 5999   DIS 212

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11579 STSCI 5999   DIS 213

    • TBA
    • Wells, M

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11580 STSCI 5999   DIS 214

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11581 STSCI 5999   DIS 215

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11582 STSCI 5999   DIS 216

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11583 STSCI 5999   DIS 217

    • TBA
    • Diciccio, T

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11584 STSCI 5999   DIS 218

    • TBA
    • Staff

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11585 STSCI 5999   DIS 219

    • TBA
    • Yang, X

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 11586 STSCI 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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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 6730

  • 4 Credits Stdnt Opt

  • 12197 STSCI 6730   LEC 001

  • 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.

  • 12198 STSCI 6730   DIS 201

    • W
    • Bunea, F

STSCI 6940

No description available. view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Opt NoAud

  • Topic: Journal Club & Prep Post-Grad Stat Res

  • 18150 STSCI 6940   LEC 001

  • Prerequisites: STSCI 6730, an advanced probability class, an advanced machine learning class, or permission of instructor

STSCI 7190

Structure learning and prediction of large, complex systems arising in modern biological and social sciences require multivariate statistical methods that are computationally efficient, perform dimension ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 18179 STSCI 7190   LEC 001

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

STSCI 7999

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 11117 STSCI 7999   RSC 701

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12052 STSCI 7999   RSC 703

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12053 STSCI 7999   RSC 704

    • TBA
    • Bunea, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12054 STSCI 7999   RSC 706

    • TBA
    • Hooker, G

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12055 STSCI 7999   RSC 707

    • TBA
    • Bunge, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12056 STSCI 7999   RSC 708

    • TBA
    • Ruppert, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12057 STSCI 7999   RSC 709

    • TBA
    • Booth, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12058 STSCI 7999   RSC 712

    • TBA
    • Resnick, S

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12059 STSCI 7999   RSC 713

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/Unsat

  • 12060 STSCI 7999   RSC 715

    • TBA
    • Wegkamp, M

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11118 STSCI 9999   RSC 701

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11598 STSCI 9999   RSC 703

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11599 STSCI 9999   RSC 704

    • TBA
    • Bunea, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11600 STSCI 9999   RSC 706

    • TBA
    • Hooker, G

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11601 STSCI 9999   RSC 707

    • TBA
    • Bunge, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11602 STSCI 9999   RSC 708

    • TBA
    • Staff

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11603 STSCI 9999   RSC 709

    • TBA
    • Booth, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11604 STSCI 9999   RSC 711

    • TBA
    • Wegkamp, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11605 STSCI 9999   RSC 715

    • TBA
    • Staff

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 11606 STSCI 9999   RSC 716

    • TBA
    • Diciccio, T