Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the Courses of Study 2024-2025.

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

  •  7031 STSCI 2100   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Entner, J

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

  •  7032 STSCI 2100   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7033 STSCI 2100   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7034 STSCI 2100   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7035 STSCI 2100   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7036 STSCI 2100   DIS 205

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7037 STSCI 2100   DIS 206

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7038 STSCI 2100   DIS 207

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7039 STSCI 2100   DIS 208

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7040 STSCI 2100   DIS 209

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7041 STSCI 2100   DIS 210

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7175 STSCI 2100   DIS 212

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7176 STSCI 2100   DIS 213

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7177 STSCI 2100   DIS 214

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7325 STSCI 2100   DIS 215

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7286 STSCI 2100   DIS 216

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7287 STSCI 2100   DIS 217

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7326 STSCI 2100   DIS 218

    • R
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7288 STSCI 2100   DIS 219

    • R
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7131 STSCI 2100   DIS 220

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7132 STSCI 2100   DIS 221

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7133 STSCI 2100   DIS 222

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7134 STSCI 2100   DIS 223

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7135 STSCI 2100   DIS 224

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  •  7136 STSCI 2100   DIS 225

    • F
    • Jan 21 - May 6, 2025
    • 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

  • 4 Credits GradeNoAud

  •  7096 STSCI 2110   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7097 STSCI 2110   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7098 STSCI 2110   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  • 11245 STSCI 2110   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  • 11246 STSCI 2110   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • 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 discussion. Combined with: STSCI 5150

  • 4 Credits Graded

  •  7146 STSCI 2150   LEC 001

    • MWF
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8794 STSCI 2150   DIS 201

    • R
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8795 STSCI 2150   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8796 STSCI 2150   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8797 STSCI 2150   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8798 STSCI 2150   DIS 205

    • R
    • Jan 21 - May 6, 2025
    • 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

  •  7107 STSCI 3080   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7108 STSCI 3080   DIS 201

    • T
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person

  •  7229 STSCI 3080   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Bunea, F

  • 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

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

  • 4 Credits Graded

  •  7137 STSCI 3110   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7138 STSCI 3110   DIS 201

    • R
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7139 STSCI 3110   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7140 STSCI 3110   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7141 STSCI 3110   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • 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 discussion. Combined with: BTRY 3020BTRY 5020STSCI 5201

  • 4 Credits Stdnt Opt

  •  7197 STSCI 3200   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 18586 STSCI 3200   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18587 STSCI 3200   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18588 STSCI 3200   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18589 STSCI 3200   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • 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

  •  7053 STSCI 3510   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Dai, J

  • Instruction Mode: In Person

  •  7054 STSCI 3510   DIS 201

    • M
    • Jan 21 - May 6, 2025
    • Dai, J

  • Instruction Mode: In Person

  •  7055 STSCI 3510   DIS 202

    • M
    • Jan 21 - May 6, 2025
    • Dai, J

  • Instruction Mode: In Person

  •  7056 STSCI 3510   DIS 203

    • T
    • Jan 21 - May 6, 2025
    • Dai, J

  • Instruction Mode: In Person

  •  7057 STSCI 3510   DIS 204

    • W
    • Jan 21 - May 6, 2025
    • Dai, J

  • Instruction Mode: In Person

  •  7469 STSCI 3510   DIS 205

    • F
    • Jan 21 - May 6, 2025
    • Dai, J

  • 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 - First.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 12117 STSCI 3600   LEC 001

    • TR
    • Jan 21 - Mar 11, 2025
    • Karns, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 12118 STSCI 3600   PRJ 601

    • TBA
    • Jan 21 - Mar 11, 2025
    • Karns, M

  • Instruction Mode: In Person

STSCI 3740

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.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  7689 STSCI 3740   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Ning, Y

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8792 STSCI 3740   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Ning, Y

  • Instruction Mode: In Person

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, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4090BTRY 5090STSCI 5090

  • 4 Credits Graded

  •  7050 STSCI 4090   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7051 STSCI 4090   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  •  7238 STSCI 4090   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  • 11028 STSCI 4090   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4100

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

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

  • 4 Credits Stdnt Opt

  •  7702 STSCI 4100   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Yang, D

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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 discussion. Combined with: STSCI 5520

  • 4 Credits Stdnt Opt

  •  6847 STSCI 4520   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Kent, D

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  6848 STSCI 4520   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Kent, D

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

  • 4 Credits Opt NoAud

  •  7099 STSCI 4550   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Kim, Y

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7101 STSCI 4550   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Kim, Y

  • Instruction Mode: In Person

STSCI 4850

In this course students will learn about the consulting process using data science. They will understand how statistics and data science knowledge can be applied to real world questions starting ... view course details

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project.

  • 2 Credits GradeNoAud

  • 20155 STSCI 4850   LEC 001

    • W
    • Mar 12 - May 6, 2025
    • Das, S

  • Instruction Mode: In Person

  • 20156 STSCI 4850   PRJ 601

    • TBA
    • Mar 12 - May 6, 2025
    • Das, S

  • 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 Sat/Unsat

  •  7169 STSCI 4970   IND 601

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7196 STSCI 4970   IND 602

    • TBA
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7201 STSCI 4970   IND 603

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7219 STSCI 4970   IND 604

    • TBA
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7543 STSCI 4970   IND 605

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7544 STSCI 4970   IND 606

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7545 STSCI 4970   IND 607

    • TBA
    • Jan 21 - May 6, 2025
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  7681 STSCI 4970   IND 608

    • TBA
    • Jan 21 - May 6, 2025
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 11708 STSCI 4970   IND 609

    • TBA
    • Jan 21 - May 6, 2025
    • Entner, J

  • 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
  •   Project Session Full.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  •  8804 STSCI 4980   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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

  • 13570 STSCI 4990   IND 601

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13612 STSCI 4990   IND 602

    • TBA
    • Jan 21 - May 6, 2025
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13730 STSCI 4990   IND 603

    • TBA
    • Jan 21 - May 6, 2025
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13770 STSCI 4990   IND 604

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13771 STSCI 4990   IND 605

    • TBA
    • Jan 21 - May 6, 2025
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13781 STSCI 4990   IND 607

    • TBA
    • Jan 21 - May 6, 2025
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13784 STSCI 4990   IND 608

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13819 STSCI 4990   IND 609

    • TBA
    • Jan 21 - May 6, 2025
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13824 STSCI 4990   IND 610

    • TBA
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16493 STSCI 4990   IND 611

    • TBA
    • Jan 21 - May 6, 2025
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16876 STSCI 4990   IND 612

    • TBA
    • Jan 21 - May 6, 2025
    • Molinari, F

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17276 STSCI 4990   IND 613

    • TBA
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17305 STSCI 4990   IND 614

    • TBA
    • Jan 21 - May 6, 2025
    • Staff

  • 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
  •   Project Session Full.  Combined with: STSCI 5995

  • 1 Credit Sat/Unsat

  •  7511 STSCI 4995   IND 601

    • TBA
    • Jan 21 - May 6, 2025
    • Das, S

  • Instruction Mode: Independent Studies

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13511 STSCI 4999   RSC 701

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13741 STSCI 4999   RSC 702

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13909 STSCI 4999   RSC 703

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5010

This course teaches the basics of SAS (Statistical Analysis System) programming and the SAS Enterprise Miner software.  This course is composed two modules.  The first module, in the first 12 weeks, covers ... view course details

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

  • 4 Credits Stdnt Opt

  • 20002 STSCI 5010   LEC 001

    • MWF
    • Jan 21 - May 6, 2025
    • Yang, X

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 20004 STSCI 5010   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Yang, X

  • Instruction Mode: In Person

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

  •  7171 STSCI 5065   LEC 001

    • MWF
    • Jan 21 - May 6, 2025
    • Yang, X

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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

  •  7718 STSCI 5080   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7719 STSCI 5080   DIS 201

    • T
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person

  •  7720 STSCI 5080   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person

STSCI 5090

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 4090BTRY 5090STSCI 4090

  • 4 Credits Graded

  •  7513 STSCI 5090   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  •  7514 STSCI 5090   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  •  7515 STSCI 5090   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: In Person

  • 11034 STSCI 5090   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • 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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  7118 STSCI 5110   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person
    Prerequisite: ILRST 2100 or ILRST 5100 or equivalent.

  •  7119 STSCI 5110   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  •  7120 STSCI 5110   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  • 11249 STSCI 5110   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

  • 11250 STSCI 5110   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

This course is on the basics of multivariate statistical analysis. The focus ison the applied side, and the students will learn by examples of multiple real-life datasets. Studentswill learn to visualize ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  7715 STSCI 5111   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Yang, D

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2150

  • 4 Credits Graded

  •  7483 STSCI 5150   LEC 001

    • MWF
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8799 STSCI 5150   DIS 201

    • R
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8800 STSCI 5150   DIS 202

    • R
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8801 STSCI 5150   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8802 STSCI 5150   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: In Person

  •  8803 STSCI 5150   DIS 205

    • R
    • Jan 21 - May 6, 2025
    • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3020BTRY 5020STSCI 3200

  • 4 Credits Stdnt Opt

  •  7573 STSCI 5201   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18579 STSCI 5201   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18580 STSCI 5201   DIS 202

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18581 STSCI 5201   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • Entner, J

  • Instruction Mode: In Person

  • 18582 STSCI 5201   DIS 204

    • F
    • Jan 21 - May 6, 2025
    • Entner, 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  7563 STSCI 5520   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Kent, D

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7564 STSCI 5520   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Kent, D

  • 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

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  7527 STSCI 5550   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Kim, Y

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7528 STSCI 5550   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Kim, Y

  • 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 - First.  Choose one lecture and one project. Combined with: STSCI 3600

  • 2 Credits Opt NoAud

  • 12119 STSCI 5600   LEC 001

    • TR
    • Jan 21 - Mar 11, 2025
    • Karns, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 12120 STSCI 5600   PRJ 601

    • TBA
    • Jan 21 - Mar 11, 2025
    • 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

  • 19875 STSCI 5640   LEC 001

    • W
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: In Person

  • 19876 STSCI 5640   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • Matteson, D

  • 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.  Choose one lecture and one project. Combined with: STSCI 3740

  • 4 Credits Stdnt Opt

  •  7690 STSCI 5740   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Ning, Y

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8793 STSCI 5740   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Ning, Y

  • 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

  •  7738 STSCI 5955   LEC 001

    • M TBA
    • Jan 21 - May 6, 2025
    • Das, S

  • Instruction Mode: In Person
    Corequisite: 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
  •   Project Session Full.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  •  7525 STSCI 5980   PRJ 601

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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

  • 13296 STSCI 5990   RSC 701

    • TBA
    • Jan 21 - May 6, 2025
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13753 STSCI 5990   RSC 703

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16394 STSCI 5990   RSC 704

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16395 STSCI 5990   RSC 705

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16396 STSCI 5990   RSC 706

    • TBA
    • Jan 21 - May 6, 2025
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16486 STSCI 5990   RSC 707

    • TBA
    • Jan 21 - May 6, 2025
    • 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
  •   Project Session Full.  Combined with: STSCI 4995

  • 1 Credit Sat/Unsat

  •  7512 STSCI 5995   IND 601

    • TBA
    • Jan 21 - May 6, 2025
    • Das, S

  • 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

  • 13587 STSCI 5999   RSC 701

    • TBA
    • Jan 21 - May 6, 2025
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13588 STSCI 5999   RSC 702

    • TBA
    • Jan 21 - May 6, 2025
    • Basu, S

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13589 STSCI 5999   RSC 703

    • TBA
    • Jan 21 - May 6, 2025
    • Kuceyeski, A

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13590 STSCI 5999   RSC 704

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13591 STSCI 5999   RSC 705

    • TBA
    • Jan 21 - May 6, 2025
    • Ning, Y

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16857 STSCI 5999   RSC 706

    • TBA
    • Jan 21 - May 6, 2025
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13592 STSCI 5999   RSC 711

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13593 STSCI 5999   RSC 713

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13594 STSCI 5999   RSC 717

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13595 STSCI 5999   RSC 719

    • TBA
    • Jan 21 - May 6, 2025
    • Yang, X

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13596 STSCI 5999   RSC 720

    • TBA
    • Jan 21 - May 6, 2025
    • Smith, M

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16466 STSCI 5999   RSC 721

    • TBA
    • Jan 21 - May 6, 2025
    • Das, S

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12876 STSCI 5999   RSC 722

    • TBA
    • Jan 21 - May 6, 2025
    • Kato, K

      Wang, Y

  • Instruction Mode: Directed Research
    Enrollment limited to: students currently enrolled in Master of Professional Studies (MPS) in Applied Statistics.

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 17256 STSCI 5999   RSC 723

    • TBA
    • Jan 21 - May 6, 2025
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 6020

Continuation of BTRY 6010. Emphasizes the use of multiple regression analysis, analysis of variance, and related techniques to analyze data in a variety of situations. Topics include an introduction to ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 6020

  • 4 Credits Stdnt Opt

  • 20612 STSCI 6020   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Staff

  • Instruction Mode: In Person
    Instructor permission required to enroll.

  • 20613 STSCI 6020   LAB 401

    • M
    • Jan 21 - May 6, 2025
    • Staff

  • Instruction Mode: In Person

  • 20614 STSCI 6020   LAB 402

    • T
    • Jan 21 - May 6, 2025
    • Staff

  • Instruction Mode: In Person

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

  • 3 Credits Opt NoAud

  •  7320 STSCI 6730   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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

  • 19271 STSCI 6750   LEC 001

    • MW
    • Jan 21 - May 6, 2025
    • Kato, K

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

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: none
  •   Regular Academic Session.  Combined with: ORIE 6780

  • 3 Credits Stdnt Opt

  • 19835 STSCI 6780   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Kowal, D

  • 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 - Second. 

  • 2 Credits Sat/Unsat

  • Topic: Topics in Theoretical Statistics - Empirical Bayes

  • 20585 STSCI 6940   LEC 001

    • TR
    • Mar 12 - May 6, 2025
    • Staff

  • Instruction Mode: In Person

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

  •  7558 STSCI 6970   IND 601

    • TBA
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 11709 STSCI 6970   IND 602

    • TBA
    • Jan 21 - May 6, 2025
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

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

  •  7552 STSCI 7951   LEC 001

    • T
    • Jan 21 - May 6, 2025
    • Staff

  • Instruction Mode: In Person
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13512 STSCI 7999   RSC 701

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13720 STSCI 7999   RSC 703

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13721 STSCI 7999   RSC 704

    • TBA
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13722 STSCI 7999   RSC 707

    • TBA
    • Jan 21 - May 6, 2025
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13723 STSCI 7999   RSC 708

    • TBA
    • Jan 21 - May 6, 2025
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13724 STSCI 7999   RSC 709

    • TBA
    • Jan 21 - May 6, 2025
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13725 STSCI 7999   RSC 713

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13726 STSCI 7999   RSC 715

    • TBA
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13842 STSCI 7999   RSC 716

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13843 STSCI 7999   RSC 717

    • TBA
    • Jan 21 - May 6, 2025
    • 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

  • 13513 STSCI 9999   RSC 701

    • TBA
    • Jan 21 - May 6, 2025
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13599 STSCI 9999   RSC 703

    • TBA
    • Jan 21 - May 6, 2025
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13600 STSCI 9999   RSC 704

    • TBA
    • Jan 21 - May 6, 2025
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13601 STSCI 9999   RSC 707

    • TBA
    • Jan 21 - May 6, 2025
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13602 STSCI 9999   RSC 708

    • TBA
    • Jan 21 - May 6, 2025
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13603 STSCI 9999   RSC 709

    • TBA
    • Jan 21 - May 6, 2025
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13604 STSCI 9999   RSC 711

    • TBA
    • Jan 21 - May 6, 2025
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13605 STSCI 9999   RSC 715

    • TBA
    • Jan 21 - May 6, 2025
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13606 STSCI 9999   RSC 716

    • TBA
    • Jan 21 - May 6, 2025
    • Diciccio, T

  • Instruction Mode: Directed Research