Statistical Science (STSCI)Computing & Information Sci

Showing 48 results.

Course descriptions provided by the 2026-2027 Catalog.

STSCI 2100

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical ... view course details

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  8844 STSCI 2100   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • 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.

  •  8845 STSCI 2100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8846 STSCI 2100   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8847 STSCI 2100   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8848 STSCI 2100   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8849 STSCI 2100   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8850 STSCI 2100   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8851 STSCI 2100   DIS 207

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8852 STSCI 2100   DIS 208

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8853 STSCI 2100   DIS 209

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8854 STSCI 2100   DIS 210

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8855 STSCI 2100   DIS 211

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8856 STSCI 2100   DIS 212

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8857 STSCI 2100   DIS 213

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8858 STSCI 2100   DIS 214

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8859 STSCI 2100   DIS 215

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • 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

  •  8865 STSCI 2110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  8866 STSCI 2110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8867 STSCI 2110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8868 STSCI 2110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8869 STSCI 2110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 2120

The course will cover the basics of R programming for reading and writing data, executing simple operations on data, performing basic analyses, and producing visual graphics. An emphasis will be placed ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one discussion. Combined with: STSCI 5120

  • 2 Credits Stdnt Opt

  • 15051 STSCI 2120   LEC 001

    • TR
    • Aug 24 - Oct 9, 2026
    • 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/

  • 15052 STSCI 2120   DIS 201

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15053 STSCI 2120   DIS 202

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • 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 Stdnt Opt

  • 14992 STSCI 2150   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14993 STSCI 2150   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 14994 STSCI 2150   DIS 202

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 14995 STSCI 2150   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 14996 STSCI 2150   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 2200

Students will be able to perform a variety of basic statistical analyses including: t-tests, two-sample t-tests, tests for categorical data, and linear regression. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5200

  • 4 Credits Stdnt Opt

  • 14895 STSCI 2200   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14896 STSCI 2200   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 14897 STSCI 2200   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 14898 STSCI 2200   DIS 203

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 14899 STSCI 2200   DIS 204

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 14900 STSCI 2200   DIS 205

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 14901 STSCI 2200   DIS 206

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 2220

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course will follow on from STSCI 2120 and cover more ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one discussion. Combined with: STSCI 5220

  • 2 Credits Stdnt Opt

  • 15094 STSCI 2220   LEC 001

    • TR
    • Oct 14 - Dec 4, 2026
    • 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/

  • 15095 STSCI 2220   DIS 201

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15096 STSCI 2220   DIS 202

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 14961 STSCI 3080   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14962 STSCI 3080   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: In Person

  • 14963 STSCI 3080   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 3100

Theory and application of statistical sampling, especially in regard to sample design, cost, estimation of population quantities, and error estimation. Assessment of nonsampling errors. Discussion ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3100STSCI 5100

  • 4 Credits Stdnt Opt

  • 14809 STSCI 3100   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

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

  • 14810 STSCI 3100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • 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 Stdnt Opt

  •  8200 STSCI 3110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8201 STSCI 3110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8202 STSCI 3110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8203 STSCI 3110   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8204 STSCI 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • McKee, D

  • Instruction Mode: In Person

  •  8205 STSCI 3110   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8206 STSCI 3110   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • 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

  • 14972 STSCI 3740   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: In Person

    Formerly STSCI 4740. Course content and difficulty unchanged; still fulfills 4000-level STSCI/BTRY major requirements.
    Enrollment limited to: Statics and Biometry majors. All others should add themselves to the waitlist during add/drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 14973 STSCI 3740   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 3900

Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3900INFO 3900

  • 3 Credits Stdnt Opt

  • 15057 STSCI 3900   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Wang, 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/

  • 15058 STSCI 3900   DIS 201

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15059 STSCI 3900   DIS 202

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15060 STSCI 3900   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15061 STSCI 3900   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

  • 15062 STSCI 3900   DIS 205

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: In Person

STSCI 4030

The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 5030

  • 4 Credits Stdnt Opt

  • 14930 STSCI 4030   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

    Enrollment limited to: Statics and Biometry majors. All others should add themselves to the waitlist during add/drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 14931 STSCI 4030   LAB 401

    • M
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 14932 STSCI 4030   LAB 402

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 14933 STSCI 4030   LAB 403

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 14934 STSCI 4030   LAB 404

    • R
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 4050

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5050

  • 4 Credits Opt NoAud

  • 15075 STSCI 4050   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Bradic, 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/

  • 15076 STSCI 4050   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Bradic, 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/

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 14928 STSCI 4060   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14929 STSCI 4060   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 4090

Introduction to classical theory of parametric statistical inference that builds on the material covered in STSCI 3080. Topics include: sampling distributions, principles of data reduction, likelihood, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 4720STSCI 5090

  • 4 Credits Graded

  • 14815 STSCI 4090   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

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

  • 14816 STSCI 4090   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 4110

Categorical data analysis, including logistic regression, log-linear models, stratified tables, matched pairs analysis, polytomous response, and ordinal data. Applications in biological, biomedical and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 4110STSCI 5160

  • 3 Credits Graded

  • 14925 STSCI 4110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

STSCI 4630

Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 5630

  • 4 Credits Opt NoAud

  • 10954 STSCI 4630   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

  • 10955 STSCI 4630   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

  • 10956 STSCI 4630   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

STSCI 4881

This course introduces statistical thinking and data analysis in the context of sports. Students learn to explore, visualize, and model sports data to evaluate performance, predict outcomes, and support ... view course details

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Syllabi: none
  •   Seven Week - First. 

  • 2 Credits GradeNoAud

  • 15101 STSCI 4881   LEC 001

    • Aug 24 - Oct 9, 2026
    • 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 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
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 14997 STSCI 4970   IND 601

    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 14998 STSCI 4970   IND 602

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 14999 STSCI 4970   IND 603

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 15000 STSCI 4970   IND 604

    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 15001 STSCI 4970   IND 605

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 15002 STSCI 4970   IND 606

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Independent Studies

STSCI 4981

This practicum course provides an applied framework for understanding and implementing data analytics within the sport industry. Students will engage in individual or collaborative projects addressing ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Opt NoAud

  • 15100 STSCI 4981   PRJ 601

    • Oct 14 - Dec 4, 2026
    • 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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14974 STSCI 4990   IND 601

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14975 STSCI 4990   IND 602

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14976 STSCI 4990   IND 603

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14977 STSCI 4990   IND 604

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14978 STSCI 4990   IND 605

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14979 STSCI 4990   IND 606

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14980 STSCI 4990   IND 607

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14981 STSCI 4990   IND 608

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14982 STSCI 4990   IND 609

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14983 STSCI 4990   IND 610

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14984 STSCI 4990   IND 611

    • Aug 24 - Dec 7, 2026
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14985 STSCI 4990   IND 612

    • Aug 24 - Dec 7, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14986 STSCI 4990   IND 613

    • Aug 24 - Dec 7, 2026
    • Lu, H

  • 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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1 Credit Sat/Unsat

  • 15027 STSCI 4995   IND 601

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • 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

  • 14958 STSCI 4999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14959 STSCI 4999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14960 STSCI 4999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 5030

The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 4030

  • 4 Credits Stdnt Opt

  • 15012 STSCI 5030   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students. All others should add themselves to the waitlist during add/drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 15013 STSCI 5030   LAB 401

    • M
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 15014 STSCI 5030   LAB 402

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 15015 STSCI 5030   LAB 403

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 15016 STSCI 5030   LAB 404

    • R
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 15047 STSCI 5045   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • 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/

  • 15048 STSCI 5045   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

  • 15049 STSCI 5045   DIS 202

    • W
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 5050

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4050

  • 4 Credits Opt NoAud

  • 15077 STSCI 5050   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Bradic, 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/

  • 15078 STSCI 5050   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Bradic, J

  • Instruction Mode: In Person

STSCI 5060

Using relational databases in statistical computing has become more and more important. The knowledge and skill of database management and the ability to combine this knowledge and skill with statistical ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 14987 STSCI 5060   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14988 STSCI 5060   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

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.

  • 4 Credits Stdnt Opt

  • 14970 STSCI 5080   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 14971 STSCI 5080   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: In Person

STSCI 5090

Introduction to classical theory of parametric statistical inference that builds on the material covered in STSCI 3080. Topics include sampling distributions, principles of data reduction, likelihood, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: MATH 4720STSCI 4090

  • 4 Credits Graded

  • 15043 STSCI 5090   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  • 15044 STSCI 5090   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 5100

Theory and application of statistical sampling, especially in regard to sample design, cost, estimation of population quantities, and error estimation. Assessment of nonsampling errors. Discussion ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3100STSCI 3100

  • 4 Credits Stdnt Opt

  • 15023 STSCI 5100   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

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

  • 15024 STSCI 5100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • 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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  8875 STSCI 5110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  8876 STSCI 5110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8877 STSCI 5110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8878 STSCI 5110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  8879 STSCI 5110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 5120

The course will cover the basics of R programming for reading and writing data, executing simple operations on data, performing basic analyses, and producing visual graphics. An emphasis will be placed ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one discussion. Combined with: STSCI 2120

  • 2 Credits Stdnt Opt

  • 15054 STSCI 5120   LEC 001

    • TR
    • Aug 24 - Oct 9, 2026
    • 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/

  • 15055 STSCI 5120   DIS 201

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15056 STSCI 5120   DIS 202

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 15018 STSCI 5150   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • 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/

  • 15019 STSCI 5150   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 15020 STSCI 5150   DIS 202

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 15021 STSCI 5150   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 15022 STSCI 5150   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 5160

Categorical data analysis, including logistic regression, log-linear models, stratified tables, matched pairs analysis, polytomous response, and ordinal data. Applications in biological, biomedical and ... view course details

View Enrollment Information

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

  • 3 Credits Graded

  • 15017 STSCI 5160   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

STSCI 5200

Students will be able to perform a variety of basic statistical analyses including: t-tests, two-sample t-tests, tests for categorical data, and linear regression. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2200

  • 4 Credits Stdnt Opt

  • 15029 STSCI 5200   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

  • 15030 STSCI 5200   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15031 STSCI 5200   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15032 STSCI 5200   DIS 203

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15033 STSCI 5200   DIS 204

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15034 STSCI 5200   DIS 205

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15035 STSCI 5200   DIS 206

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5220

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course will follow on from STSCI 5120 and cover more ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one discussion. Combined with: STSCI 2220

  • 2 Credits Stdnt Opt

  • 15097 STSCI 5220   LEC 001

    • TR
    • Oct 14 - Dec 4, 2026
    • 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/

  • 15098 STSCI 5220   DIS 201

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 15099 STSCI 5220   DIS 202

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5630

Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 4630

  • 4 Credits Opt NoAud

  • 11053 STSCI 5630   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

  • 11054 STSCI 5630   DIS 202

    • T
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

  • 11055 STSCI 5630   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Das, S

  • 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

  • 15025 STSCI 5740   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students. All others should add themselves to the waitlist during add/drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 15026 STSCI 5740   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5954

Students will learn core professional skills required to work with a client. These skills include designing and implementing a work plan, learning to communicate efficiently, presentation of a final deliverable ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Opt NoAud

  • 15050 STSCI 5954   LEC 001

    • M
    • Oct 14 - Dec 4, 2026
    • Das, S

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    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

  • 14909 STSCI 5990   RSC 701

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14910 STSCI 5990   RSC 702

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14911 STSCI 5990   RSC 703

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14912 STSCI 5990   RSC 704

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14913 STSCI 5990   RSC 705

    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14914 STSCI 5990   RSC 706

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14915 STSCI 5990   RSC 707

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14916 STSCI 5990   RSC 708

    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14917 STSCI 5990   RSC 709

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14918 STSCI 5990   RSC 710

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14919 STSCI 5990   RSC 711

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14920 STSCI 5990   RSC 712

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14921 STSCI 5990   RSC 713

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14922 STSCI 5990   RSC 714

    • Aug 24 - Dec 7, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14923 STSCI 5990   RSC 715

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14924 STSCI 5990   RSC 716

    • Aug 24 - Dec 7, 2026
    • Entner, J

  • 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. 

  • 1 Credit Sat/Unsat

  • 15028 STSCI 5995   IND 601

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

STSCI 6010

Develops and uses statistical methods to analyze data arising from a wide variety of applications. Topics include descriptive statistics, point and interval estimation, hypothesis testing, inference for ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 6100

  • 4 Credits Stdnt Opt

  • 14855 STSCI 6010   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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/

  • 14856 STSCI 6010   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14857 STSCI 6010   DIS 202

    • T
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14858 STSCI 6010   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

  • 14859 STSCI 6010   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Kent, D

  • Instruction Mode: In Person

STSCI 6520

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 14865 STSCI 6520   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

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

  • 14866 STSCI 6520   PRJ 601

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 6840

Learning theory is an important branch of modern statistics. This course gives an overview of various topics and proof techniques that include concentration inequalities, Bayes rules, reject option, margin ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18628 STSCI 6840   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • 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/

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
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15003 STSCI 6970   IND 601

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15004 STSCI 6970   IND 602

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15005 STSCI 6970   IND 603

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15006 STSCI 6970   IND 604

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15007 STSCI 6970   IND 605

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15008 STSCI 6970   IND 606

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15009 STSCI 6970   IND 607

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15010 STSCI 6970   IND 608

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 15011 STSCI 6970   IND 609

    • Aug 24 - Dec 7, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7170

Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 7170ORIE 7170

  • 3 Credits Stdnt Opt

  • 14989 STSCI 7170   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • 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 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14940 STSCI 7999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14941 STSCI 7999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14942 STSCI 7999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14943 STSCI 7999   RSC 704

    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14944 STSCI 7999   RSC 705

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14945 STSCI 7999   RSC 706

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14946 STSCI 7999   RSC 707

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14947 STSCI 7999   RSC 708

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

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Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14948 STSCI 9999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14949 STSCI 9999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14950 STSCI 9999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14951 STSCI 9999   RSC 704

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14952 STSCI 9999   RSC 705

    • Aug 24 - Dec 7, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14953 STSCI 9999   RSC 706

    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14954 STSCI 9999   RSC 707

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14955 STSCI 9999   RSC 708

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14956 STSCI 9999   RSC 709

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14957 STSCI 9999   RSC 715

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research