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

  •  6744 STSCI 2100   LEC 001

    • TR Ives Hall 305
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • 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.

  •  6745 STSCI 2100   DIS 201

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6746 STSCI 2100   DIS 202

    • F Ives Hall 109
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6747 STSCI 2100   DIS 203

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6748 STSCI 2100   DIS 204

    • F Ives Hall 116
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6749 STSCI 2100   DIS 205

    • F Ives Hall 215
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  7171 STSCI 2100   DIS 206

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6750 STSCI 2100   DIS 207

  • Instruction Mode: In Person

  •  6751 STSCI 2100   DIS 208

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6752 STSCI 2100   DIS 209

    • F Ives Hall 116
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6753 STSCI 2100   DIS 210

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6754 STSCI 2100   DIS 211

    • F Ives Hall 109
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6877 STSCI 2100   DIS 212

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6926 STSCI 2100   DIS 213

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6945 STSCI 2100   DIS 214

    • R Uris Hall 302
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

  •  6946 STSCI 2100   DIS 215

    • R Uris Hall G24
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • 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

  • 18540 STSCI 2110   LEC 001

    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 18541 STSCI 2110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 18550 STSCI 2110   DIS 202

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 18552 STSCI 2110   DIS 203

  • Instruction Mode: In Person

  • 18553 STSCI 2110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • 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

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

  • 2 Credits Stdnt Opt

  • 12975 STSCI 2120   LEC 001

    • TR Emerson Hall 135
    • Aug 26 - Oct 11, 2024
    • Bettache, N

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

  • 12981 STSCI 2120   DIS 201

    • F Upson Hall 216
    • Aug 26 - Oct 11, 2024
    • Bettache, N

  • Instruction Mode: In Person

STSCI 2130

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

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  • 12909 STSCI 2130   LEC 001

    • MW
    • Nov 4 - Dec 9, 2024
    • Karns, M

  • Instruction Mode: In Person

  • 12969 STSCI 2130   PRJ 601

    • TBA
    • Oct 16 - Dec 9, 2024
    • Staff

  • 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

  •  6882 STSCI 2150   LEC 001

    • MWF Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • 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/

  •  6986 STSCI 2150   DIS 201

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6883 STSCI 2150   DIS 202

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6884 STSCI 2150   DIS 203

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  6885 STSCI 2150   DIS 204

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • 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

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3010BTRY 5010STSCI 5200

  • 4 Credits Stdnt Opt

  •  6485 STSCI 2200   LEC 001

    • TR Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • Entner, J

  • Instruction Mode: In Person
    Prerequisite: one semester of calculus.

  •  6486 STSCI 2200   DIS 201

  • Instruction Mode: In Person

  •  6487 STSCI 2200   DIS 202

  • Instruction Mode: In Person

  •  6488 STSCI 2200   DIS 203

  • Instruction Mode: In Person

  •  6489 STSCI 2200   DIS 204

  • Instruction Mode: In Person

  •  6490 STSCI 2200   DIS 205

  • Instruction Mode: In Person

  •  7006 STSCI 2200   DIS 206

  • Instruction Mode: In Person

STSCI 3040

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 aims to prepare students for dealing with data ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 5040

  • 4 Credits Stdnt Opt

  •  7457 STSCI 3040   LEC 001

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

  •  7458 STSCI 3040   LAB 401

  • Instruction Mode: In Person

  •  7459 STSCI 3040   LAB 402

  • 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:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  •  6817 STSCI 3080   LEC 001

    • TR Olin Hall 255
    • Aug 26 - Dec 9, 2024
    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisite: STSCI 2150 or STSCI 2200, MATH 1120, MATH 2220 or equivalents.

  •  6818 STSCI 3080   DIS 201

  • Instruction Mode: In Person

  •  6836 STSCI 3080   DIS 202

  • 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: BTRY 3100ILRST 3100STSCI 5100

  • 4 Credits Stdnt Opt

  •  6805 STSCI 3100   LEC 001

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

  • 11542 STSCI 3100   DIS 201

    • F Warren Hall 151
    • Aug 26 - Dec 9, 2024
    • 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 Graded

  •  6878 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person
    Prerequisite: MATH 1110 or equivalent.

  •  6879 STSCI 3110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  7109 STSCI 3110   DIS 202

    • F Ives Hall 219
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  7172 STSCI 3110   DIS 203

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  7173 STSCI 3110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • 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

  •  6895 STSCI 3740   LEC 001

    • TR Phillips Hall 101
    • Aug 26 - Dec 9, 2024
    • Bettache, N

  • Instruction Mode: In Person
    Formerly STSCI 4740. Course content and difficulty unchanged; still fulfills 4000-level STSCI/BTRY major requirements.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 11396 STSCI 3740   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Bettache, N

  • 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

  • 19918 STSCI 3900   LEC 001

    • TR Phillips Hall 101
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      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/

  • 19919 STSCI 3900   DIS 201

    • W Hollister Hall 314
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19920 STSCI 3900   DIS 202

    • W Hollister Hall 368
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19921 STSCI 3900   DIS 203

    • W Hollister Hall 312
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      Wang, Y

  • Instruction Mode: In Person

  • 19922 STSCI 3900   DIS 204

  • Instruction Mode: In Person

  • 19923 STSCI 3900   DIS 205

    • W Hollister Hall 368
    • Aug 26 - Dec 9, 2024
    • Cortez-Rodriguez, M

      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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4030STSCI 5030

  • 4 Credits Stdnt Opt

  •  6803 STSCI 4030   LEC 001

    • MW Olin Hall 255
    • Aug 26 - Dec 9, 2024
    • 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/

  •  6905 STSCI 4030   LAB 401

  • Instruction Mode: In Person

  •  6951 STSCI 4030   LAB 402

  • Instruction Mode: In Person

  •  7088 STSCI 4030   LAB 403

    • W Upson Hall 222
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person

  •  7089 STSCI 4030   LAB 404

    • R Warren Hall 101
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person

STSCI 4060

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 18564 STSCI 4060   LEC 001

    • MWF Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • 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/

  • 18565 STSCI 4060   DIS 201

    • T Warren Hall 175
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • 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

View Enrollment Information

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

  • 4 Credits Graded

  •  7218 STSCI 4090   LEC 001

    • TR Malott Hall 253
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: In Person

  •  7219 STSCI 4090   DIS 201

    • F Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • 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: BTRY 4110ILRST 4110STSCI 5160

  • 3 Credits Graded

  •  7347 STSCI 4110   LEC 001

  • 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 Stdnt Opt

  • 20000 STSCI 4630   LEC 001

  • Instruction Mode: In Person

  • 20005 STSCI 4630   DIS 201

  • Instruction Mode: In Person

  • 20006 STSCI 4630   DIS 204

  • 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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 14402 STSCI 4970   IND 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 17818 STSCI 4970   IND 602

    • TBA
    • Aug 26 - Dec 9, 2024
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 17819 STSCI 4970   IND 603

    • TBA
    • Aug 26 - Dec 9, 2024
    • El Alaoui, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 17820 STSCI 4970   IND 604

    • TBA
    • Aug 26 - Dec 9, 2024
    • Entner, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 17821 STSCI 4970   IND 605

    • TBA
    • Aug 26 - Dec 9, 2024
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  • 17822 STSCI 4970   IND 606

    • TBA
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • 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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 2 Credits Sat/Unsat

  •  6891 STSCI 4980   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

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

STSCI 4990

Course consists of individual tutorial study selected by faculty. Because topics usually change year to year this course may be repeated for credit. view course details

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14264 STSCI 4990   IND 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14265 STSCI 4990   IND 602

    • TBA
    • Aug 26 - Dec 9, 2024
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14434 STSCI 4990   IND 603

    • TBA
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14470 STSCI 4990   IND 604

    • TBA
    • Aug 26 - Dec 9, 2024
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14477 STSCI 4990   IND 605

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14553 STSCI 4990   IND 606

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14710 STSCI 4990   IND 607

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14713 STSCI 4990   IND 608

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16818 STSCI 4990   IND 609

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17505 STSCI 4990   IND 610

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17511 STSCI 4990   IND 611

    • TBA
    • Aug 26 - Dec 9, 2024
    • Karns, M

  • 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

  •  7429 STSCI 4995   IND 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • 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

  • 14097 STSCI 4999   RSC 701

    • TBA
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14462 STSCI 4999   RSC 702

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14712 STSCI 4999   RSC 703

    • TBA
    • Aug 26 - Dec 9, 2024
    • 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: BTRY 4030STSCI 4030

  • 4 Credits Stdnt Opt

  •  7020 STSCI 5030   LEC 001

    • MW Olin Hall 255
    • Aug 26 - Dec 9, 2024
    • 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/

  •  7021 STSCI 5030   LAB 401

  • Instruction Mode: In Person

  •  7022 STSCI 5030   LAB 402

  • Instruction Mode: In Person

  •  7090 STSCI 5030   LAB 403

    • W Upson Hall 222
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person

  •  7091 STSCI 5030   LAB 404

    • R Warren Hall 101
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: In Person

STSCI 5040

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 aims to prepare students for dealing with data ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 3040

  • 4 Credits Stdnt Opt

  •  7461 STSCI 5040   LEC 001

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

  •  7462 STSCI 5040   LAB 401

  • Instruction Mode: In Person

  •  7463 STSCI 5040   LAB 402

  • 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

  • 18566 STSCI 5045   LEC 001

    • MWF Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • Instruction Mode: In Person

  • 18567 STSCI 5045   DIS 201

    • T Warren Hall 175
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • Instruction Mode: In Person

  • 21469 STSCI 5045   DIS 202

    • W Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • 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

  •  6861 STSCI 5060   LEC 001

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

  • 11630 STSCI 5060   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • 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

  •  6953 STSCI 5080   LEC 001

    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • 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/

  •  6954 STSCI 5080   DIS 201

  • 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

  •  7445 STSCI 5090   LEC 001

    • TR Malott Hall 253
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: In Person

  •  7446 STSCI 5090   DIS 201

    • F Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • 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: BTRY 3100ILRST 3100STSCI 3100

  • 4 Credits Stdnt Opt

  •  7389 STSCI 5100   LEC 001

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

  • 11545 STSCI 5100   DIS 201

    • F Warren Hall 151
    • Aug 26 - Dec 9, 2024
    • 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

  • 21099 STSCI 5110   LEC 001

    • TR Ives Hall 105
    • Aug 26 - Dec 9, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 21100 STSCI 5110   DIS 201

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 21101 STSCI 5110   DIS 202

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: In Person

  • 21102 STSCI 5110   DIS 203

  • Instruction Mode: In Person

  • 21103 STSCI 5110   DIS 204

    • F Ives Hall 217
    • Aug 26 - Dec 9, 2024
    • 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

  • 12976 STSCI 5120   LEC 001

    • TR Emerson Hall 135
    • Aug 26 - Oct 11, 2024
    • Bettache, N

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

  • 12982 STSCI 5120   DIS 201

    • F Upson Hall 216
    • Aug 26 - Oct 11, 2024
    • Bettache, N

  • 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

  •  7381 STSCI 5150   LEC 001

    • MWF Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • 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/

  •  7382 STSCI 5150   DIS 201

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  7383 STSCI 5150   DIS 202

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  7384 STSCI 5150   DIS 203

    • F Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: In Person

  •  7385 STSCI 5150   DIS 204

    • R Upson Hall 225
    • Aug 26 - Dec 9, 2024
    • 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: BTRY 4110ILRST 4110STSCI 4110

  • 3 Credits Graded

  •  7393 STSCI 5160   LEC 001

  • 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: BTRY 3010BTRY 5010STSCI 2200

  • 4 Credits Stdnt Opt

  •  7447 STSCI 5200   LEC 001

    • TR Kimball Hall B11
    • Aug 26 - Dec 9, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  7448 STSCI 5200   DIS 201

  • Instruction Mode: In Person

  •  7449 STSCI 5200   DIS 202

  • Instruction Mode: In Person

  •  7450 STSCI 5200   DIS 203

  • Instruction Mode: In Person

  •  7451 STSCI 5200   DIS 204

  • Instruction Mode: In Person

  •  7452 STSCI 5200   DIS 205

  • Instruction Mode: In Person

  •  7453 STSCI 5200   DIS 206

  • 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 Stdnt Opt

  •  7465 STSCI 5630   LEC 001

  • Instruction Mode: In Person

  •  7466 STSCI 5630   DIS 202

  • Instruction Mode: In Person

  •  7467 STSCI 5630   DIS 203

  • 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

  •  7392 STSCI 5740   LEC 001

    • TR Phillips Hall 101
    • Aug 26 - Dec 9, 2024
    • Bettache, N

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

  • 11397 STSCI 5740   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Bettache, N

  • 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 GradeNoAud

  • 13198 STSCI 5954   LEC 001

  • 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

  • 14370 STSCI 5990   RSC 701

    • TBA
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: Directed Research
    Prerequisite: Multicalculus, linear algebra, and basic statistics.

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14426 STSCI 5990   RSC 702

    • TBA
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14427 STSCI 5990   RSC 703

    • TBA
    • Aug 26 - Dec 9, 2024
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14506 STSCI 5990   RSC 704

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14519 STSCI 5990   RSC 705

    • TBA
    • Aug 26 - Dec 9, 2024
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14526 STSCI 5990   RSC 706

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14621 STSCI 5990   RSC 707

    • TBA
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16559 STSCI 5990   RSC 708

    • TBA
    • Aug 26 - Dec 9, 2024
    • Kato, K

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16751 STSCI 5990   RSC 709

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16776 STSCI 5990   RSC 710

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16826 STSCI 5990   RSC 711

    • TBA
    • Aug 26 - Dec 9, 2024
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17210 STSCI 5990   RSC 712

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17211 STSCI 5990   RSC 713

    • TBA
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17212 STSCI 5990   RSC 714

    • TBA
    • Aug 26 - Dec 9, 2024
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17213 STSCI 5990   RSC 715

    • TBA
    • Aug 26 - Dec 9, 2024
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17515 STSCI 5990   RSC 716

    • TBA
    • Aug 26 - Dec 9, 2024
    • 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

  •  7428 STSCI 5995   IND 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

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

  •  9418 STSCI 6520   LEC 001

    • MW Malott Hall 406
    • Aug 26 - Dec 9, 2024
    • Basu, S

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

  • 11395 STSCI 6520   PRJ 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: In Person

STSCI 6740

Focuses on the foundations of statistical inference, with an emphasis on asymptotic methods and the minimax optimality criterion. In the first part, the solution of the classical problem of justifying ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: MATH 6740

  • 3 Credits Stdnt Opt

  •  7292 STSCI 6740   LEC 001

    • TR Malott Hall 206
    • Aug 26 - Dec 9, 2024
    • Nussbaum, M

  • 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
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: High Dimensional Stat Inference and Prediction

  • 21524 STSCI 6940   LEC 001

    • F
    • Aug 26 - Dec 9, 2024
    • Ning, Y

  • 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
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14482 STSCI 6970   IND 601

    • TBA
    • Aug 26 - Dec 9, 2024
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14483 STSCI 6970   IND 602

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14484 STSCI 6970   IND 603

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14485 STSCI 6970   IND 604

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14486 STSCI 6970   IND 605

    • TBA
    • Aug 26 - Dec 9, 2024
    • Yang, X

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16774 STSCI 6970   IND 606

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16881 STSCI 6970   IND 607

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 17207 STSCI 6970   IND 608

    • TBA
    • Aug 26 - Dec 9, 2024
    • Yang, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 21471 STSCI 6970   IND 609

    • TBA
    • Aug 26 - Dec 9, 2024
    • 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

  •  6941 STSCI 7170   LEC 001

    • TR Ives Hall 103
    • Aug 26 - Dec 9, 2024
    • Booth, 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 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14095 STSCI 7999   RSC 701

    • TBA
    • Aug 26 - Dec 9, 2024
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14315 STSCI 7999   RSC 702

    • TBA
    • Aug 26 - Dec 9, 2024
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14316 STSCI 7999   RSC 703

    • TBA
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14317 STSCI 7999   RSC 704

    • TBA
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14318 STSCI 7999   RSC 705

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14319 STSCI 7999   RSC 706

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14320 STSCI 7999   RSC 707

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14321 STSCI 7999   RSC 708

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • 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

  • 14096 STSCI 9999   RSC 701

    • TBA
    • Aug 26 - Dec 9, 2024
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14293 STSCI 9999   RSC 702

    • TBA
    • Aug 26 - Dec 9, 2024
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14294 STSCI 9999   RSC 703

    • TBA
    • Aug 26 - Dec 9, 2024
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14295 STSCI 9999   RSC 704

    • TBA
    • Aug 26 - Dec 9, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14296 STSCI 9999   RSC 705

    • TBA
    • Aug 26 - Dec 9, 2024
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14297 STSCI 9999   RSC 706

    • TBA
    • Aug 26 - Dec 9, 2024
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14298 STSCI 9999   RSC 707

    • TBA
    • Aug 26 - Dec 9, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14299 STSCI 9999   RSC 708

    • TBA
    • Aug 26 - Dec 9, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14300 STSCI 9999   RSC 709

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 14301 STSCI 9999   RSC 715

    • TBA
    • Aug 26 - Dec 9, 2024
    • Wells, M

  • Instruction Mode: Directed Research