Statistical Science (STSCI)Engineering

Showing 48 results.

Course descriptions provided by the Courses of Study 2023-2024.

STSCI 1380

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

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

  • 4 Credits Stdnt Opt

  •  9230 STSCI 1380   LEC 001

  • Instruction Mode: In Person

  •  9231 STSCI 1380   DIS 201

  • Instruction Mode: In Person

  •  9232 STSCI 1380   DIS 202

  • Instruction Mode: In Person

  •  9233 STSCI 1380   DIS 203

  • Instruction Mode: In Person

STSCI 2100

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

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

  • 4 Credits GradeNoAud

  •  9002 STSCI 2100   LEC 001

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

  •  9003 STSCI 2100   DIS 201

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9004 STSCI 2100   DIS 202

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9005 STSCI 2100   DIS 203

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9006 STSCI 2100   DIS 204

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9007 STSCI 2100   DIS 205

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9008 STSCI 2100   DIS 206

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9009 STSCI 2100   DIS 207

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9010 STSCI 2100   DIS 208

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9011 STSCI 2100   DIS 209

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9012 STSCI 2100   DIS 210

    • F Ives Hall 111
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9162 STSCI 2100   DIS 212

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9163 STSCI 2100   DIS 213

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9164 STSCI 2100   DIS 214

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9366 STSCI 2100   DIS 215

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9305 STSCI 2100   DIS 216

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9306 STSCI 2100   DIS 217

    • F Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9367 STSCI 2100   DIS 218

    • R Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9307 STSCI 2100   DIS 219

    • R Ives Hall 116
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9108 STSCI 2100   DIS 220

    • F Ives Hall 112
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9109 STSCI 2100   DIS 221

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9110 STSCI 2100   DIS 222

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9111 STSCI 2100   DIS 223

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9112 STSCI 2100   DIS 224

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9113 STSCI 2100   DIS 225

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

STSCI 2110

A second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

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

  • 3 Credits GradeNoAud

  •  9069 STSCI 2110   LEC 001

    • TR Ives Hall 105
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9070 STSCI 2110   DIS 201

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9071 STSCI 2110   DIS 202

    • R Ives Hall 116
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 20109 STSCI 2110   DIS 203

    • F Ives Hall 115
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 20110 STSCI 2110   DIS 204

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

STSCI 2150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  •  9123 STSCI 2150   LEC 001

    • MWF Olin Hall 155
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person
    A student cannot receive credit for this course and for SOC 3010, PSYCH 3500, ENGRD 2700, ILRST 2100, PAM 2100, AEM 2100, BTRY 3010, or AP Statistics. If this course is full, please add yourself to the waitlist via Student Center. Questions about waitlists, please email courses@cis.cornell.edu.

  • 16690 STSCI 2150   DIS 201

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16691 STSCI 2150   DIS 202

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16692 STSCI 2150   DIS 203

    • F Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16693 STSCI 2150   DIS 204

    • F Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16694 STSCI 2150   DIS 205

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

STSCI 3080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

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

  • 4 Credits Stdnt Opt

  •  9083 STSCI 3080   LEC 001

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

  •  9084 STSCI 3080   DIS 201

  • Instruction Mode: In Person

  •  9229 STSCI 3080   DIS 202

  • Instruction Mode: In Person

STSCI 3110

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  •  9114 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9115 STSCI 3110   DIS 201

    • R Ives Hall 111
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9116 STSCI 3110   DIS 202

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9117 STSCI 3110   DIS 203

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9118 STSCI 3110   DIS 204

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

STSCI 3200

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3020BTRY 5020STSCI 5201

  • 4 Credits Stdnt Opt

  •  9184 STSCI 3200   LEC 001

    • TR Warren Hall 175
    • Jan 22 - May 7, 2024
    • Entner, J

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

  •  9185 STSCI 3200   LAB 401

  • Instruction Mode: In Person

  •  9186 STSCI 3200   LAB 402

  • Instruction Mode: In Person

  •  9187 STSCI 3200   LAB 403

  • Instruction Mode: In Person

  •  9251 STSCI 3200   LAB 404

  • Instruction Mode: In Person

STSCI 3510

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include the Poisson process, Markov chains, renewal theory, models for ... view course details

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  •  9024 STSCI 3510   LEC 001

    • TR Kimball Hall B11
    • Jan 22 - May 7, 2024
    • Scully, Z

  • Instruction Mode: In Person

  •  9025 STSCI 3510   DIS 201

  • Instruction Mode: In Person

  •  9026 STSCI 3510   DIS 202

  • Instruction Mode: In Person

  •  9027 STSCI 3510   DIS 203

  • Instruction Mode: In Person

  •  9028 STSCI 3510   DIS 204

    • W Upson Hall 206
    • Jan 22 - May 7, 2024
    • Scully, Z

  • Instruction Mode: In Person

  •  9549 STSCI 3510   DIS 205

  • Instruction Mode: In Person

STSCI 3600

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

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Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 19503 STSCI 3600   LEC 001

    • M Ives Hall 111
    • Jan 22 - Mar 12, 2024
    • Karns, M

  • Instruction Mode: In Person

  • 19504 STSCI 3600   PRJ 601

    • TBA
    • Jan 22 - Mar 12, 2024
    • Karns, M

  • Instruction Mode: In Person

Syllabi:
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 11856 STSCI 3600   LEC 002

    • M Upson Hall 222
    • Mar 13 - May 7, 2024
    • Karns, M

  • Instruction Mode: In Person

  • 19527 STSCI 3600   PRJ 602

    • TBA
    • Mar 13 - May 7, 2024
    • Karns, M

  • Instruction Mode: In Person

STSCI 4050

No description available. view course details

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5050

  • 4 Credits Stdnt Opt

  • 20353 STSCI 4050   LEC 001

  • Instruction Mode: In Person

  • 20354 STSCI 4050   DIS 201

    • F Upson Hall 206
    • Jan 22 - May 7, 2024
    • Kato, K

  • Instruction Mode: In Person

STSCI 4060

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

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

  • 4 Credits Stdnt Opt

  •  9029 STSCI 4060   LEC 001

  • Instruction Mode: In Person
    Prerequisite: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred). If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

  •  9895 STSCI 4060   DIS 201

  • Instruction Mode: In Person
    Prerequisite: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred).

STSCI 4090

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

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

  • 4 Credits Graded

  •  9021 STSCI 4090   LEC 001

    • TR Malott Hall 253
    • Jan 22 - May 7, 2024
    • Wegkamp, M

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

  •  9022 STSCI 4090   DIS 201

    • F Warren Hall B75
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

  •  9241 STSCI 4090   DIS 202

    • F Warren Hall B75
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

  • 19763 STSCI 4090   DIS 203

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4100

Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.  Topics include MANOVA, principal components, factor ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9878 STSCI 4100   LEC 001

    • MW Ives Hall 219
    • Jan 22 - May 7, 2024
    • Yang, D

  • Instruction Mode: In Person

STSCI 4520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5520

  • 4 Credits Stdnt Opt

  •  8801 STSCI 4520   LEC 001

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

  •  8802 STSCI 4520   DIS 201

  • Instruction Mode: In Person
    If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

STSCI 4550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

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

  • 4 Credits Stdnt Opt

  •  9072 STSCI 4550   LEC 001

    • TR Olin Hall 155
    • Jan 22 - May 7, 2024
    • Kim, Y

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

  •  9075 STSCI 4550   DIS 201

    • F Warren Hall 175
    • Jan 22 - May 7, 2024
    • Kim, Y

  • Instruction Mode: In Person

STSCI 4610

The course teaches statistical methods used in modeling risk in asset returns. Students in this course will be able to: identify time series dependency in selected financial data, analyze trade-off between ... view course details

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 5610

  • 2 Credits Opt NoAud

  • 20371 STSCI 4610   LEC 001

  • Instruction Mode: In Person

  • 20372 STSCI 4610   PRJ 601

    • TBA
    • Mar 13 - May 7, 2024
    • Das, S

  • Instruction Mode: In Person

STSCI 4740

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  9862 STSCI 4740   LEC 001

  • Instruction Mode: In Person
    If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

  • 16685 STSCI 4740   PRJ 601

    • TBA
    • Jan 22 - May 7, 2024
    • Ning, Y

  • Instruction Mode: In Person

STSCI 4970

Students assist in teaching a course appropriate to their previous training. Students meet with a discussion or laboratory section and regularly discuss objectives with the course instructor. view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9148 STSCI 4970   IND 601

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9183 STSCI 4970   IND 602

    • TBA
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9192 STSCI 4970   IND 603

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9212 STSCI 4970   IND 604

    • TBA
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9644 STSCI 4970   IND 605

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9645 STSCI 4970   IND 606

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9646 STSCI 4970   IND 607

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  9852 STSCI 4970   IND 608

    • TBA
    • Jan 22 - May 7, 2024
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  • 20981 STSCI 4970   IND 609

    • TBA
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: Independent Studies

STSCI 4980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  • 16701 STSCI 4980   PRJ 601

    • TBA
    • Jan 22 - May 7, 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

  • 12934 STSCI 4990   IND 601

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 12976 STSCI 4990   IND 602

    • TBA
    • Jan 22 - May 7, 2024
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13096 STSCI 4990   IND 603

    • TBA
    • Jan 22 - May 7, 2024
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13136 STSCI 4990   IND 604

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13137 STSCI 4990   IND 605

    • TBA
    • Jan 22 - May 7, 2024
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13149 STSCI 4990   IND 607

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13152 STSCI 4990   IND 608

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13187 STSCI 4990   IND 609

    • TBA
    • Jan 22 - May 7, 2024
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13192 STSCI 4990   IND 610

    • TBA
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16101 STSCI 4990   IND 611

    • TBA
    • Jan 22 - May 7, 2024
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16491 STSCI 4990   IND 612

    • TBA
    • Jan 22 - May 7, 2024
    • Molinari, F

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 20834 STSCI 4990   IND 613

    • TBA
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 20925 STSCI 4990   IND 614

    • TBA
    • Jan 22 - May 7, 2024
    • Staff

  • Instruction Mode: Independent Studies

STSCI 4995

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

View Enrollment Information

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

  • 1 Credit Sat/Unsat

  •  9605 STSCI 4995   IND 601

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • 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

  • 12875 STSCI 4999   RSC 701

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13107 STSCI 4999   RSC 702

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13279 STSCI 4999   RSC 703

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5045

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

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

  • 4 Credits Stdnt Opt

  •  9623 STSCI 5045   LEC 001

  • Instruction Mode: In Person
    Prerequisites: basic programming skills (any language), one introductory Statistics course, SQL (Oracle preferred).

  •  9896 STSCI 5045   DIS 201

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

STSCI 5050

No description available. view course details

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4050

  • 4 Credits Stdnt Opt

  • 20350 STSCI 5050   LEC 001

  • Instruction Mode: In Person

  • 20351 STSCI 5050   DIS 201

    • F Upson Hall 206
    • Jan 22 - May 7, 2024
    • Kato, K

  • Instruction Mode: In Person

STSCI 5065

Concepts, challenges, and industry trends of big data, with a focus on the Hadoop system. Topics include: basics of the Apache Hadoop platform and Hadoop ecosystem; the Hadoop distributed file system (HDFS); ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Graded

  •  9158 STSCI 5065   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Knowledge of a general purpose computer programming language, such as JAVA, Python, Ruby, or C++, or at least taking STSC 4060 in parallel with this course; STSCI 5060 or basic SQL knowledge; STSCI 5010 or basic knowledge of SAS programming; STSCI 3520 or STSCI 4030 or basic knowledge of R programming. If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

STSCI 5080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9920 STSCI 5080   LEC 001

  • Instruction Mode: In Person

  •  9921 STSCI 5080   DIS 201

  • Instruction Mode: In Person

  •  9922 STSCI 5080   DIS 202

  • 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

  •  9607 STSCI 5090   LEC 001

    • TR Malott Hall 253
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

  •  9608 STSCI 5090   DIS 201

    • F Warren Hall B75
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

  •  9609 STSCI 5090   DIS 202

    • F Warren Hall B75
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

  • 19770 STSCI 5090   DIS 203

    • F Ives Hall 219
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 5110

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

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

  • 3 Credits GradeNoAud

  •  9094 STSCI 5110   LEC 001

    • TR Ives Hall 105
    • Jan 22 - May 7, 2024
    • Packard, K

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

  •  9095 STSCI 5110   DIS 201

    • F Ives Hall 217
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  •  9096 STSCI 5110   DIS 202

    • R Ives Hall 116
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 20113 STSCI 5110   DIS 203

    • F Ives Hall 115
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

  • 20114 STSCI 5110   DIS 204

    • F Ives Hall 215
    • Jan 22 - May 7, 2024
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

No description available. view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9911 STSCI 5111   LEC 001

    • MW Ives Hall 219
    • Jan 22 - May 7, 2024
    • Yang, D

  • Instruction Mode: In Person

STSCI 5150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9567 STSCI 5150   LEC 001

    • MWF Olin Hall 155
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person
    If this course is full, please add yourself to the waitlist via Student Center. Questions about waitlists, please email courses@cis.cornell.edu

  • 16696 STSCI 5150   DIS 201

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16697 STSCI 5150   DIS 202

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16698 STSCI 5150   DIS 203

    • F Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16699 STSCI 5150   DIS 204

    • F Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

  • 16700 STSCI 5150   DIS 205

    • R Upson Hall 225
    • Jan 22 - May 7, 2024
    • Smith, M

  • Instruction Mode: In Person

STSCI 5201

Applies linear statistical methods to quantitative problems addressed in biological and environmental research. Methods include linear regression, inference, model assumption evaluation, the likelihood ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9689 STSCI 5201   LEC 001

    • TR Warren Hall 175
    • Jan 22 - May 7, 2024
    • Entner, J

  • Instruction Mode: In Person

  •  9690 STSCI 5201   LAB 401

  • Instruction Mode: In Person

  •  9691 STSCI 5201   LAB 402

  • Instruction Mode: In Person

  •  9692 STSCI 5201   LAB 403

  • Instruction Mode: In Person

  •  9693 STSCI 5201   LAB 404

  • Instruction Mode: In Person

STSCI 5520

This course is designed to provide students with an introduction to statistical computing. The class will cover the basics of programming; numerical methods for optimization and linear algebra and their ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9678 STSCI 5520   LEC 001

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

  •  9679 STSCI 5520   DIS 201

  • Instruction Mode: In Person
    If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

STSCI 5550

Introduces statistical tools for the analysis of time-dependent data. Data analysis and application will be an integral part of this course. Topics include linear, nonlinear, seasonal, multivariate modeling, ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9624 STSCI 5550   LEC 001

    • TR Olin Hall 155
    • Jan 22 - May 7, 2024
    • Kim, Y

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

  •  9625 STSCI 5550   DIS 201

    • F Warren Hall 175
    • Jan 22 - May 7, 2024
    • Kim, Y

  • Instruction Mode: In Person

STSCI 5600

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

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: STSCI 3600

  • 2 Credits Opt NoAud

  • 19532 STSCI 5600   LEC 001

    • M Ives Hall 111
    • Jan 22 - Mar 12, 2024
    • Karns, M

  • Instruction Mode: In Person

  • 19534 STSCI 5600   PRJ 601

    • TBA
    • Jan 22 - Mar 12, 2024
    • Karns, M

  • Instruction Mode: In Person

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 3600

  • 2 Credits Opt NoAud

  • 11855 STSCI 5600   LEC 002

    • M Upson Hall 222
    • Mar 13 - May 7, 2024
    • Karns, M

  • Instruction Mode: In Person

  • 19533 STSCI 5600   PRJ 602

    • TBA
    • Mar 13 - May 7, 2024
    • Karns, M

  • Instruction Mode: In Person

STSCI 5610

The course teaches statistical methods used in modeling risk in asset returns. Students in this course will be able to: identify time series dependency in selected financial data, analyze trade-off between ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 4610

  • 2 Credits Opt NoAud

  • 20373 STSCI 5610   LEC 001

  • Instruction Mode: In Person

  • 20374 STSCI 5610   PRJ 601

    • TBA
    • Mar 13 - May 7, 2024
    • Das, S

  • Instruction Mode: In Person

STSCI 5640

Regression, ARIMA, GARCH, stochastic volatility, and factor models. Calibration of financial engineering models, estimation of diffusion models, estimation of risk measures, multivariate models and copulas, ... view course details

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Stdnt Opt

  •  9894 STSCI 5640   LEC 001

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

  •  9945 STSCI 5640   DIS 201

  • Instruction Mode: In Person

  •  9976 STSCI 5640   DIS 202

  • 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 4740

  • 4 Credits Stdnt Opt

  •  9863 STSCI 5740   LEC 001

  • Instruction Mode: In Person
    If this course is full, please add yourself to the waitlist via Student Center. If you have questions about the waitlist email courses@cis.cornell.edu.

  • 16686 STSCI 5740   PRJ 601

    • TBA
    • Jan 22 - May 7, 2024
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5955

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Graded

  •  9963 STSCI 5955   LEC 001

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

STSCI 5980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  •  9622 STSCI 5980   PRJ 601

    • TBA
    • Jan 22 - May 7, 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 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

  • 12659 STSCI 5990   RSC 701

    • TBA
    • Jan 22 - May 7, 2024
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13119 STSCI 5990   RSC 703

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 15987 STSCI 5990   RSC 704

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 15988 STSCI 5990   RSC 705

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 15989 STSCI 5990   RSC 706

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16094 STSCI 5990   RSC 707

    • TBA
    • Jan 22 - May 7, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 5995

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

View Enrollment Information

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

  • 1 Credit Sat/Unsat

  •  9606 STSCI 5995   IND 601

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Independent Studies

STSCI 5999

It is a long-term, in-depth statistical analysis of real-world dataset using various statistical methods and computer packages (such as SAS, R, SPSS, etc.). Students work in teams (of maximum size 4) to ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12951 STSCI 5999   RSC 701

    • TBA
    • Jan 22 - May 7, 2024
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12952 STSCI 5999   RSC 702

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12953 STSCI 5999   RSC 703

    • TBA
    • Jan 22 - May 7, 2024
    • Kuceyeski, A

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12954 STSCI 5999   RSC 704

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12955 STSCI 5999   RSC 705

    • TBA
    • Jan 22 - May 7, 2024
    • Ning, Y

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16470 STSCI 5999   RSC 706

    • TBA
    • Jan 22 - May 7, 2024
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12956 STSCI 5999   RSC 711

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12957 STSCI 5999   RSC 713

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12958 STSCI 5999   RSC 717

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12959 STSCI 5999   RSC 719

    • TBA
    • Jan 22 - May 7, 2024
    • Yang, X

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12960 STSCI 5999   RSC 720

    • TBA
    • Jan 22 - May 7, 2024
    • Smith, M

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 16068 STSCI 5999   RSC 721

    • TBA
    • Jan 22 - May 7, 2024
    • Das, S

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 12237 STSCI 5999   RSC 722

    • TBA
    • Jan 22 - May 7, 2024
    • Kato, K

      Wang, Y

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

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 20781 STSCI 5999   RSC 723

    • TBA
    • Jan 22 - May 7, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

STSCI 6730

This course will focus on the finite sample theory of statistical inference, emphasizing estimation, hypothesis testing, and confidence intervals.  Specific topics include: uniformly minimum variance unbiased ... view course details

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  9359 STSCI 6730   LEC 001

    • T Warren Hall 137
    • Jan 22 - May 7, 2024
    • Bunea, F

  • Instruction Mode: In Person
    Prerequisites: STSCI 4090/BTRY 4090 (Theory of Statistics), MATH 6710 (measure theoretic probability) or permission of instructor. The Audit option requires permission of the Instructor.

STSCI 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: Time Series and Spatio Data Sci

  •  9250 STSCI 6940   LEC 001

  • Instruction Mode: In Person
    Topics covered will include linear and non-linear, univariate and multivariate time series, exploratory methods for spatiotemporal data, spatiotemporal covariance functions, kriging, and hierarchical spatial models. Additional topics may include spatiotemporal modeling, seasonal modeling, spectral analysis, empirical orthogonal function analysis, discrete-valued time series, factor models, high-dimensional time series, functional time series, network time series, non-stationary time series, change point analysis, and point process modeling. Many applications may be considered, from nance and economics, to neuroscience and biophysics, to urban informatics and emergency medical services.

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • Topic: Readings & Research in High Dimensional Statistics

  • 20570 STSCI 6940   LEC 002

  • Instruction Mode: In Person

STSCI 6970

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  9673 STSCI 6970   IND 601

    • TBA
    • Jan 22 - May 7, 2024
    • Wegkamp, M

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

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 20982 STSCI 6970   IND 602

    • TBA
    • Jan 22 - May 7, 2024
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7951

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Stdnt Opt

  •  9660 STSCI 7951   LEC 001

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

STSCI 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 12876 STSCI 7999   RSC 701

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13086 STSCI 7999   RSC 703

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13087 STSCI 7999   RSC 704

    • TBA
    • Jan 22 - May 7, 2024
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13088 STSCI 7999   RSC 707

    • TBA
    • Jan 22 - May 7, 2024
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13089 STSCI 7999   RSC 708

    • TBA
    • Jan 22 - May 7, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13090 STSCI 7999   RSC 709

    • TBA
    • Jan 22 - May 7, 2024
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13091 STSCI 7999   RSC 713

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13092 STSCI 7999   RSC 715

    • TBA
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13211 STSCI 7999   RSC 716

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13212 STSCI 7999   RSC 717

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12877 STSCI 9999   RSC 701

    • TBA
    • Jan 22 - May 7, 2024
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12963 STSCI 9999   RSC 703

    • TBA
    • Jan 22 - May 7, 2024
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12964 STSCI 9999   RSC 704

    • TBA
    • Jan 22 - May 7, 2024
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12965 STSCI 9999   RSC 707

    • TBA
    • Jan 22 - May 7, 2024
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12966 STSCI 9999   RSC 708

    • TBA
    • Jan 22 - May 7, 2024
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12967 STSCI 9999   RSC 709

    • TBA
    • Jan 22 - May 7, 2024
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12968 STSCI 9999   RSC 711

    • TBA
    • Jan 22 - May 7, 2024
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12969 STSCI 9999   RSC 715

    • TBA
    • Jan 22 - May 7, 2024
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 12970 STSCI 9999   RSC 716

    • TBA
    • Jan 22 - May 7, 2024
    • Diciccio, T

  • Instruction Mode: Directed Research