Statistical Science (STSCI)Engineering

Showing 32 results.

Course descriptions provided by the Courses of Study 2014-2015.

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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  • 11449 STSCI 2100   LEC 001

  • 11450 STSCI 2100   DIS 201

  • 11451 STSCI 2100   DIS 202

  • 11452 STSCI 2100   DIS 203

  • 11453 STSCI 2100   DIS 204

  • 11454 STSCI 2100   DIS 205

  • 11455 STSCI 2100   DIS 206

  • 11456 STSCI 2100   DIS 207

  • 11457 STSCI 2100   DIS 208

  • 11458 STSCI 2100   DIS 209

  • 11459 STSCI 2100   DIS 210

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

  • 4 Credits GradeNoAud

  • 12639 STSCI 2100   LEC 002

  • 12640 STSCI 2100   DIS 220

  • 12641 STSCI 2100   DIS 221

  • 12642 STSCI 2100   DIS 222

  • 12643 STSCI 2100   DIS 223

  • 12644 STSCI 2100   DIS 224

  • 12645 STSCI 2100   DIS 225

  • 12646 STSCI 2100   DIS 226

  • 12647 STSCI 2100   DIS 227

  • 12648 STSCI 2100   DIS 228

  • 12649 STSCI 2100   DIS 229

  • 12820 STSCI 2100   DIS 230

  • 12821 STSCI 2100   DIS 231

  • 18009 STSCI 2100   DIS 232

  • 18010 STSCI 2100   DIS 233

  • 18011 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

View Enrollment Information

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

  • 3 Credits GradeNoAud

  • 12256 STSCI 2110   LEC 001

  • 12257 STSCI 2110   DIS 201

  • 12258 STSCI 2110   DIS 202

  • 12259 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 12754 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.

  • 12755 STSCI 2150   LAB 401

  • 12756 STSCI 2150   LAB 402

  • 12757 STSCI 2150   LAB 403

  • 12780 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080BTRY 5080ILRST 5080STSCI 5080

  • 4 Credits Stdnt Opt

  • 12402 STSCI 3080   LEC 001

  • 12403 STSCI 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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  • 12650 STSCI 3110   LEC 001

  • 12651 STSCI 3110   DIS 201

  • 12652 STSCI 3110   DIS 202

  • 12653 STSCI 3110   DIS 203

  • 12654 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3020NTRES 4130

  • 4 Credits Graded

  • 11597 STSCI 3200   LEC 001

  • Prerequisite: BTRY 3010 or 6010.

  • 11598 STSCI 3200   LAB 401

  • 11599 STSCI 3200   LAB 402

  • 12817 STSCI 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 11643 STSCI 3510   LEC 001

  • 11644 STSCI 3510   DIS 201

  • 11645 STSCI 3510   DIS 202

  • 11646 STSCI 3510   DIS 203

  • 11647 STSCI 3510   DIS 204

  • 11648 STSCI 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3520

  • 4 Credits Stdnt Opt

  • 10764 STSCI 3520   LEC 001

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

  • 10765 STSCI 3520   LAB 401

STSCI 4010

An in-depth study of some of the principal ideas in the intellectual history of statistics, from the 18th century to the present day. Classical topics include (but are not limited to): regression, hypothesis ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 4010

  • 4 Credits GradeNoAud

  • 15845 STSCI 4010   LEC 001

  • Prerequisite: Statistics at the level of STSCI 3110.

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Stdnt Opt

  • 11649 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

View Enrollment Information

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

  • 4 Credits Graded

  • 11600 STSCI 4090   LEC 001

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

  • 11601 STSCI 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100

  • 4 Credits Stdnt Opt

  • 12188 STSCI 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

View Enrollment Information

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

  • 4 Credits Graded

  • 12189 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 12656 STSCI 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

View Enrollment Information

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

  • 4 Credits Graded

  • 12261 STSCI 4550   LEC 001

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

  • 12338 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 17165 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).

  • 17166 STSCI 4780   LAB 401

STSCI 4940

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 12194 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12912 STSCI 4970   IND 601

    • TBA
    • Wells, M

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Sat/UnSat

  • 12922 STSCI 4980   LAB 401

  • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12307 STSCI 4990   IND 601

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12525 STSCI 4990   IND 602

    • TBA
    • Ruppert, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18372 STSCI 4990   IND 603

    • TBA
    • Booth, J

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 18490 STSCI 4999   RSC 702

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-3 Credits Stdnt Opt

  • 11764 STSCI 4999   RSC 701

    • TBA
    • Wells, M

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

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 17548 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.

  • 17603 STSCI 5065   LAB 201

STSCI 5080

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080BTRY 5080ILRST 5080STSCI 3080

  • 4 Credits Stdnt Opt

  • 12400 STSCI 5080   LEC 001

  • 12401 STSCI 5080   DIS 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

View Enrollment Information

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

  • 3 Credits GradeNoAud

  • 12531 STSCI 5110   LEC 001

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

  • 12532 STSCI 5110   DIS 201

  • 12533 STSCI 5110   DIS 202

  • 12534 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

View Enrollment Information

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

  • 4 Credits Graded

  • 12382 STSCI 5640   LEC 001

  • 12383 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 11226 STSCI 5990   RSC 701

    • TBA
    • Yang, X

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 12530 STSCI 5990   RSC 702

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18519 STSCI 5990   RSC 703

    • TBA
    • Lederer, J

STSCI 5999

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12447 STSCI 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.

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12449 STSCI 5999   DIS 202

    • TBA
    • Fink, D

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12450 STSCI 5999   DIS 203

    • TBA
    • Matteson, D

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12451 STSCI 5999   DIS 204

    • TBA
    • Bunea, F

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12452 STSCI 5999   DIS 205

    • TBA
    • Lederer, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12453 STSCI 5999   DIS 206

    • TBA
    • Molinari, F

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12454 STSCI 5999   DIS 207

    • TBA
    • Hooker, G

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12455 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

  • 12456 STSCI 5999   DIS 209

    • TBA
    • Bien, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12457 STSCI 5999   DIS 210

    • TBA
    • Booth, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12458 STSCI 5999   DIS 211

    • TBA
    • Abowd, J

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12459 STSCI 5999   DIS 212

    • TBA
    • Wegkamp, M

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12460 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

  • 12461 STSCI 5999   DIS 214

    • TBA
    • Velleman, P

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12462 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

  • 12463 STSCI 5999   DIS 216

    • TBA
    • Resnick, S

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12464 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

  • 12465 STSCI 5999   DIS 218

    • TBA
    • Hong, Y

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

Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Graded

  • 12466 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

  • 12467 STSCI 5999   DIS 220

    • TBA
    • Woodard, D

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

STSCI 6000

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/UnSat

  • 11507 STSCI 6000   SEM 101

    • W
    • Wells, M

STSCI 6070

Introduction to functional data analysis for students planning to do research on this topic and related areas. Weekly homework assignments covering both theory and data analysis and an individual final ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ORIE 6070

  • 3 Credits Stdnt Opt

  • 16326 STSCI 6070   LEC 001

  • Prerequisites: ORIE 6700 or STSCI 6730

STSCI 6940

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • Topic: Journal Club High Dimensional Statistical Inferenc

  • 12195 STSCI 6940   LEC 001

  • Prerequisite: STSCI/MATH 6730, 6740, MATH 7740, or permission of the 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

  • 11765 STSCI 7999   RSC 701

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18207 STSCI 7999   RSC 702

    • TBA
    • Fink, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18208 STSCI 7999   RSC 703

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18209 STSCI 7999   RSC 704

    • TBA
    • Bunea, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18210 STSCI 7999   RSC 705

    • TBA
    • Molinari, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18211 STSCI 7999   RSC 706

    • TBA
    • Hooker, G

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18212 STSCI 7999   RSC 707

    • TBA
    • Bunge, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18213 STSCI 7999   RSC 708

    • TBA
    • Bien, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18214 STSCI 7999   RSC 709

    • TBA
    • Booth, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18215 STSCI 7999   RSC 710

    • TBA
    • Abowd, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18216 STSCI 7999   RSC 711

    • TBA
    • Velleman, P

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18217 STSCI 7999   RSC 712

    • TBA
    • Resnick, S

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18218 STSCI 7999   RSC 713

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18219 STSCI 7999   RSC 714

    • TBA
    • Hong, Y

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Sat/UnSat

  • 18220 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

  • 11766 STSCI 9999   RSC 701

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12482 STSCI 9999   RSC 702

    • TBA
    • Fink, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12483 STSCI 9999   RSC 703

    • TBA
    • Matteson, D

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12484 STSCI 9999   RSC 704

    • TBA
    • Bunea, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12485 STSCI 9999   RSC 705

    • TBA
    • Molinari, F

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12486 STSCI 9999   RSC 706

    • TBA
    • Hooker, G

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12487 STSCI 9999   RSC 707

    • TBA
    • Bunge, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12488 STSCI 9999   RSC 708

    • TBA
    • Bien, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12489 STSCI 9999   RSC 709

    • TBA
    • Booth, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12490 STSCI 9999   RSC 710

    • TBA
    • Abowd, J

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12491 STSCI 9999   RSC 711

    • TBA
    • Wegkamp, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12492 STSCI 9999   RSC 712

    • TBA
    • Wells, M

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12493 STSCI 9999   RSC 713

    • TBA
    • Velleman, P

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12494 STSCI 9999   RSC 714

    • TBA
    • Staff

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12495 STSCI 9999   RSC 715

    • TBA
    • Resnick, S

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12496 STSCI 9999   RSC 716

    • TBA
    • Diciccio, T

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12497 STSCI 9999   RSC 717

    • TBA
    • Hong, Y

Syllabi: none
  •   Regular Academic Session. 

  • 1-9 Credits Stdnt Opt

  • 12498 STSCI 9999   RSC 718

    • TBA
    • Woodard, D