Statistical Science (STSCI)Engineering

Showing 51 results.

Course descriptions provided by the Courses of Study 2022-2023.

STSCI 1380

This course provides an introduction to data science using the statistical programming language R. We focus on building skills in inferential thinking and computational thinking, guided by the practical ... view course details

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

  • 4 Credits Stdnt Opt

  •  9576 STSCI 1380   LEC 001

  • Instruction Mode: In Person

  •  9577 STSCI 1380   DIS 201

    • W Upson Hall 216
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: In Person

  •  9578 STSCI 1380   DIS 202

    • W Upson Hall 206
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: In Person

  •  9579 STSCI 1380   DIS 203

    • W Upson Hall 102
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: In Person

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

  •  9263 STSCI 2100   LEC 001

  • Instruction Mode: In Person
    Beginning with the first day of classes ILR students must get permission to drop from an advisor in the ILR Office of Student Services.

  •  9264 STSCI 2100   DIS 201

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9265 STSCI 2100   DIS 202

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9266 STSCI 2100   DIS 203

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9267 STSCI 2100   DIS 204

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9268 STSCI 2100   DIS 205

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9269 STSCI 2100   DIS 206

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9270 STSCI 2100   DIS 207

    • F Ives Hall 111
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9271 STSCI 2100   DIS 208

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9272 STSCI 2100   DIS 209

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9273 STSCI 2100   DIS 210

    • R Ives Hall 112
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9471 STSCI 2100   DIS 212

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9472 STSCI 2100   DIS 213

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9473 STSCI 2100   DIS 214

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9741 STSCI 2100   DIS 215

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9666 STSCI 2100   DIS 216

    • F Ives Hall 215
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9667 STSCI 2100   DIS 217

    • F Ives Hall 219
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9742 STSCI 2100   DIS 218

    • R Ives Hall 108
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person
    .

  •  9668 STSCI 2100   DIS 219

    • R Ives Hall 112
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9403 STSCI 2100   DIS 220

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person
    .

  •  9404 STSCI 2100   DIS 221

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9405 STSCI 2100   DIS 222

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9406 STSCI 2100   DIS 223

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9407 STSCI 2100   DIS 224

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  9408 STSCI 2100   DIS 225

    • F Ives Hall 116
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

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

  •  9349 STSCI 2110   LEC 001

    • TR Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9350 STSCI 2110   DIS 201

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9351 STSCI 2110   DIS 202

    • R Ives Hall 116
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

STSCI 2130

This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, ... view course details

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Syllabi: none
  •   Seven Week - Second.  Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  • 18335 STSCI 2130   LEC 001

    • TR Ives Hall 215
    • Mar 15 - May 9, 2023
    • Das, S

  • Instruction Mode: In Person

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. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  •  9419 STSCI 2150   LEC 001

    • MWF Warren Hall B25
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person
    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.

  •  9420 STSCI 2150   LAB 401

    • R Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  9421 STSCI 2150   LAB 402

    • R Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  9799 STSCI 2150   LAB 403

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  9800 STSCI 2150   LAB 404

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  9801 STSCI 2150   LAB 405

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

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 3080STSCI 5080

  • 4 Credits Stdnt Opt

  •  9373 STSCI 3080   LEC 001

    • MW Warren Hall 175
    • Jan 23 - May 9, 2023
    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisites: BTRY 3010 , Calculus II, or the equivalent.

  •  9374 STSCI 3080   DIS 201

  • Instruction Mode: In Person

  •  9575 STSCI 3080   DIS 202

  • Instruction Mode: In Person

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 Graded

  •  9409 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9410 STSCI 3110   DIS 201

    • R Ives Hall 111
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9411 STSCI 3110   DIS 202

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9412 STSCI 3110   DIS 203

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9413 STSCI 3110   DIS 204

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

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 3020BTRY 5020STSCI 5201

  • 4 Credits Stdnt Opt

  •  9498 STSCI 3200   LEC 001

    • TR Warren Hall 175
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person
    Prerequisite: BTRY 3010 or 6010.

  •  9499 STSCI 3200   LAB 401

  • Instruction Mode: In Person

  •  9500 STSCI 3200   LAB 402

  • Instruction Mode: In Person

  •  9501 STSCI 3200   LAB 403

  • Instruction Mode: In Person

  •  9602 STSCI 3200   LAB 404

  • Instruction Mode: In Person

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

  •  9286 STSCI 3510   LEC 001

  • Instruction Mode: In Person

  •  9287 STSCI 3510   DIS 201

  • Instruction Mode: In Person

  •  9288 STSCI 3510   DIS 202

    • T Ives Hall 116
    • Jan 23 - May 9, 2023
    • Dai, J

  • Instruction Mode: In Person

  •  9289 STSCI 3510   DIS 203

  • Instruction Mode: In Person

  •  9290 STSCI 3510   DIS 204

    • R
    • Jan 23 - May 9, 2023
    • Dai, J

  • Instruction Mode: In Person

  • 10013 STSCI 3510   DIS 205

  • Instruction Mode: In Person

STSCI 3600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

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Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Opt NoAud

  • 18723 STSCI 3600   LEC 002

  • Instruction Mode: In Person

STSCI 4060

The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5045

  • 4 Credits Stdnt Opt

  •  9291 STSCI 4060   LEC 001

  • Instruction Mode: In Person
    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.

  • 18931 STSCI 4060   DIS 201

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS.

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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090STSCI 5090

  • 4 Credits Graded

  •  9282 STSCI 4090   LEC 001

    • MW Warren Hall 175
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person
    Prerequisites: BTRY 3080 or equivalent and at least one introductory statistics course.

  •  9283 STSCI 4090   DIS 201

    • F Warren Hall B75
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  •  9589 STSCI 4090   DIS 202

    • F Warren Hall B75
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 4100

No description available. view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4100ILRST 4100STSCI 5111

  • 4 Credits Stdnt Opt

  • 18851 STSCI 4100   LEC 001

    • MW To Be Assigned
    • Jan 23 - May 9, 2023
    • Yang, D

  • Instruction Mode: In Person

STSCI 4270

Develops and uses statistical methods appropriate for analyzing right-censored (i.e., incomplete) time-to-event data. Topics covered include nonparametric estimation (e.g., life table methods, Kaplan Meier ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4270STSCI 5270

  • 3 Credits Stdnt Opt

  • 18848 STSCI 4270   LEC 001

    • MW Warren Hall 101
    • Jan 23 - May 9, 2023
    • Booth, J

  • Instruction Mode: In Person

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: STSCI 5520

  • 4 Credits Stdnt Opt

  •  9034 STSCI 4520   LEC 001

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

  •  9035 STSCI 4520   LAB 401

  • Instruction Mode: In Person

  •  9036 STSCI 4520   LAB 402

  • Instruction Mode: In Person

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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 5550

  • 4 Credits Stdnt Opt

  •  9352 STSCI 4550   LEC 001

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

  •  9361 STSCI 4550   DIS 201

    • F Warren Hall 151
    • Jan 23 - May 9, 2023
    • Krampe, J

  • Instruction Mode: In Person

STSCI 4740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  • 18727 STSCI 4740   LEC 001

    • TR Warren Hall 175
    • Jan 23 - May 9, 2023
    • Ning, Y

  • Instruction Mode: In Person

STSCI 4750

The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5750

  • 4 Credits Stdnt Opt

  • 10230 STSCI 4750   LEC 001

  • Instruction Mode: In Person

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

  •  9451 STSCI 4970   IND 601

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  •  9497 STSCI 4970   IND 602

    • TBA
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  •  9508 STSCI 4970   IND 603

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  •  9534 STSCI 4970   IND 604

    • TBA
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10237 STSCI 4970   IND 605

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10238 STSCI 4970   IND 606

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10239 STSCI 4970   IND 607

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: In Person

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 18510 STSCI 4970   IND 608

    • TBA
    • Jan 23 - May 9, 2023
    • Karns, M

  • Instruction Mode: Independent Studies

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.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  •  9592 STSCI 4980   LAB 401

    • M Upson Hall 146
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: In Person
    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
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 12995 STSCI 4990   IND 601

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13037 STSCI 4990   IND 602

    • TBA
    • Jan 23 - May 9, 2023
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13159 STSCI 4990   IND 603

    • TBA
    • Jan 23 - May 9, 2023
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13199 STSCI 4990   IND 604

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13200 STSCI 4990   IND 605

    • TBA
    • Jan 23 - May 9, 2023
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13212 STSCI 4990   IND 607

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13215 STSCI 4990   IND 608

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13250 STSCI 4990   IND 609

    • TBA
    • Jan 23 - May 9, 2023
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13255 STSCI 4990   IND 610

    • TBA
    • Jan 23 - May 9, 2023
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16318 STSCI 4990   IND 611

    • TBA
    • Jan 23 - May 9, 2023
    • Wang, Y

  • Instruction Mode: Independent Studies

STSCI 4995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5995

  • 1 Credit Sat/Unsat

  • 10145 STSCI 4995   IND 601

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

STSCI 4999

Research at the undergraduate level. view course details

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 12936 STSCI 4999   RSC 701

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13170 STSCI 4999   RSC 702

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13345 STSCI 4999   RSC 703

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5045

The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4060

  • 4 Credits Stdnt Opt

  • 10200 STSCI 5045   LEC 001

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. Permission of instructor required.

  • 18932 STSCI 5045   DIS 201

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS.

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. 

  • 3 Credits Graded

  •  9464 STSCI 5065   LEC 001

    • MWF Ives Hall 115
    • Jan 23 - May 9, 2023
    • Yang, X

  • Instruction Mode: In Person
    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.

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 3080ILRST 3080STSCI 3080

  • 4 Credits Stdnt Opt

  • 19073 STSCI 5080   LEC 001

    • MW Warren Hall 175
    • Jan 23 - May 9, 2023
    • El Alaoui, A

  • Instruction Mode: In Person

  • 19074 STSCI 5080   DIS 201

  • Instruction Mode: In Person

  • 19075 STSCI 5080   DIS 202

  • Instruction Mode: In Person

STSCI 5090

For description and learning oncomes see BTRY 4090. view course details

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090STSCI 4090

  • 4 Credits Graded

  • 10148 STSCI 5090   LEC 001

    • MW Warren Hall 175
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  • 10149 STSCI 5090   DIS 201

    • F Warren Hall B75
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  • 10150 STSCI 5090   DIS 202

    • F Warren Hall B75
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: In Person

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

  •  9388 STSCI 5110   LEC 001

    • TR Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

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

  •  9389 STSCI 5110   DIS 201

    • F Ives Hall 217
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  9390 STSCI 5110   DIS 202

    • R Ives Hall 116
    • Jan 23 - May 9, 2023
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

No description available. view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 18998 STSCI 5111   LEC 001

    • MW To Be Assigned
    • Jan 23 - May 9, 2023
    • Yang, D

  • Instruction Mode: In Person

STSCI 5150

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. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  • 10050 STSCI 5150   LEC 001

    • MWF Warren Hall B25
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  • 10051 STSCI 5150   LAB 401

    • R Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  • 10052 STSCI 5150   LAB 402

    • R Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  • 10053 STSCI 5150   LAB 403

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  • 10054 STSCI 5150   LAB 404

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

  • 10055 STSCI 5150   LAB 405

    • F Upson Hall 225
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: In Person

STSCI 5201

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 3020BTRY 5020STSCI 3200

  • 4 Credits Stdnt Opt

  • 10317 STSCI 5201   LEC 001

    • TR Warren Hall 175
    • Jan 23 - May 9, 2023
    • Entner, J

  • Instruction Mode: In Person

  • 10318 STSCI 5201   LAB 401

  • Instruction Mode: In Person

  • 10319 STSCI 5201   LAB 402

  • Instruction Mode: In Person

  • 10320 STSCI 5201   LAB 403

  • Instruction Mode: In Person

  • 10321 STSCI 5201   LAB 404

  • Instruction Mode: In Person

STSCI 5270

Develops and uses statistical methods appropriate for analyzing right-censored (i.e., incomplete) time-to-event data. Topics covered include nonparametric estimation (e.g., life table methods, Kaplan Meier ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4270STSCI 4270

  • 3 Credits Stdnt Opt

  • 18850 STSCI 5270   LEC 001

    • MW Warren Hall 101
    • Jan 23 - May 9, 2023
    • Booth, J

  • Instruction Mode: In Person

STSCI 5520

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: STSCI 4520

  • 4 Credits Stdnt Opt

  • 10302 STSCI 5520   LEC 001

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

  • 10303 STSCI 5520   LAB 401

  • Instruction Mode: In Person

  • 10304 STSCI 5520   LAB 402

  • Instruction Mode: In Person

STSCI 5550

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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 4550ORIE 5550STSCI 4550

  • 4 Credits Stdnt Opt

  • 10201 STSCI 5550   LEC 001

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

  • 10202 STSCI 5550   DIS 201

    • F Warren Hall 151
    • Jan 23 - May 9, 2023
    • Krampe, J

  • Instruction Mode: In Person

STSCI 5600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Opt NoAud

  • 18709 STSCI 5600   LEC 001

    • M Upson Hall 222
    • Mar 15 - May 9, 2023
    • Karns, M

  • Instruction Mode: In Person

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 Stdnt Opt

  • 18913 STSCI 5640   LEC 001

  • Instruction Mode: In Person
    Enrollment restricted to graduate students.

  • 19225 STSCI 5640   DIS 201

  • Instruction Mode: In Person

STSCI 5740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4740

  • 4 Credits Stdnt Opt

  • 18728 STSCI 5740   LEC 001

    • TR Warren Hall 175
    • Jan 23 - May 9, 2023
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5750

The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4750

  • 4 Credits Stdnt Opt

  • 10231 STSCI 5750   LEC 001

  • Instruction Mode: In Person

STSCI 5955

This course is designed to run in parallel to STSCI 5999 (Applied Statistics MPS Data Analysis Project) and is a required part of the final-semester client project for MPS students. In this course students ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Graded

  • 19521 STSCI 5955   LEC 001

  • Instruction Mode: In Person
    Co-requisite: STSCI 5999.

STSCI 5980

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.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  • 10199 STSCI 5980   LAB 401

    • M Upson Hall 146
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: In Person
    Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management).

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
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 12719 STSCI 5990   RSC 701

    • TBA
    • Jan 23 - May 9, 2023
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13182 STSCI 5990   RSC 703

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16196 STSCI 5990   RSC 704

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16197 STSCI 5990   RSC 705

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16198 STSCI 5990   RSC 706

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16311 STSCI 5990   RSC 707

    • TBA
    • Jan 23 - May 9, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 5995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4995

  • 1 Credit Sat/Unsat

  • 10146 STSCI 5995   IND 601

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13012 STSCI 5999   RSC 701

    • TBA
    • Jan 23 - May 9, 2023
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13013 STSCI 5999   RSC 702

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13014 STSCI 5999   RSC 703

    • TBA
    • Jan 23 - May 9, 2023
    • Kuceyeski, A

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13015 STSCI 5999   RSC 704

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13016 STSCI 5999   RSC 705

    • TBA
    • Jan 23 - May 9, 2023
    • Ning, Y

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13017 STSCI 5999   RSC 711

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13018 STSCI 5999   RSC 713

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13019 STSCI 5999   RSC 717

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13020 STSCI 5999   RSC 719

    • TBA
    • Jan 23 - May 9, 2023
    • Yang, X

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13021 STSCI 5999   RSC 720

    • TBA
    • Jan 23 - May 9, 2023
    • Smith, M

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16284 STSCI 5999   RSC 721

    • TBA
    • Jan 23 - May 9, 2023
    • Das, S

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in MPS in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 10363 STSCI 5999   RSC 722

    • TBA
    • Jan 23 - May 9, 2023
    • Kato, K

      Wang, Y

  • Instruction Mode: Directed Research
    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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6730

  • 4 Credits Opt NoAud

  •  9732 STSCI 6730   LEC 001

    • T Malott Hall 230
    • Jan 23 - May 9, 2023
    • Bunea, F

  • Instruction Mode: In Person
    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.

STSCI 6750

This course will discuss several probabilistic results and techniques that are useful in mathematical statistics. Limit theorems and stochastic inequalities are two key components of the course. Topics ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18726 STSCI 6750   LEC 001

    • MW Ives Hall 116
    • Jan 23 - May 9, 2023
    • Kato, K

  • Instruction Mode: In Person

STSCI 6780

Priors, posteriors, Bayes estimators, decision theory, asymptotic theory, Bayes factors, credible regions, hierarchical models, nonparametric Bayes, computational methods, Bayesian robustness, and applications. ... view course details

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Combined with: ORIE 6780

  • 3 Credits Stdnt Opt

  • 11657 STSCI 6780   LEC 001

  • Instruction Mode: In Person

STSCI 6940

Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First. 

  • 1 Credit Sat/Unsat

  • Topic: Statistical Optimal Transport for High Dim Mixture

  • 18955 STSCI 6940   LEC 002

  • Instruction Mode: In Person
    Enrollment is restricted to graduate students only.

STSCI 6970

Individual tutorial study selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 10293 STSCI 6970   IND 601

    • TBA
    • Jan 23 - May 9, 2023
    • Wegkamp, M

  • Instruction Mode: Independent Studies
    Individual tutorial study selected by the faculty.

STSCI 7951

This course focuses on practical data analysis involving advanced statistical methods applied to real datasets. Students will be required to attend meetings with Cornell Statistical Consulting Unit (CSCU) ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Stdnt Opt

  • 10273 STSCI 7951   LEC 001

  • Instruction Mode: In Person
    Prerequisites: STSCI 7170, STSCI 7180, STSCI 6520 or equivalents

STSCI 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 12937 STSCI 7999   RSC 701

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13149 STSCI 7999   RSC 703

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13150 STSCI 7999   RSC 704

    • TBA
    • Jan 23 - May 9, 2023
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13151 STSCI 7999   RSC 707

    • TBA
    • Jan 23 - May 9, 2023
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13152 STSCI 7999   RSC 708

    • TBA
    • Jan 23 - May 9, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13153 STSCI 7999   RSC 709

    • TBA
    • Jan 23 - May 9, 2023
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13154 STSCI 7999   RSC 713

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13155 STSCI 7999   RSC 715

    • TBA
    • Jan 23 - May 9, 2023
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13274 STSCI 7999   RSC 716

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13275 STSCI 7999   RSC 717

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12938 STSCI 9999   RSC 701

    • TBA
    • Jan 23 - May 9, 2023
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13024 STSCI 9999   RSC 703

    • TBA
    • Jan 23 - May 9, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13025 STSCI 9999   RSC 704

    • TBA
    • Jan 23 - May 9, 2023
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13026 STSCI 9999   RSC 707

    • TBA
    • Jan 23 - May 9, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13027 STSCI 9999   RSC 708

    • TBA
    • Jan 23 - May 9, 2023
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13028 STSCI 9999   RSC 709

    • TBA
    • Jan 23 - May 9, 2023
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13029 STSCI 9999   RSC 711

    • TBA
    • Jan 23 - May 9, 2023
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13030 STSCI 9999   RSC 715

    • TBA
    • Jan 23 - May 9, 2023
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13031 STSCI 9999   RSC 716

    • TBA
    • Jan 23 - May 9, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research