Statistical Science (STSCI)Computing & Information Sci

Showing 47 results.

Course descriptions provided by the 2026-2027 Catalog.

STSCI 2100

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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  7940 STSCI 2100   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7941 STSCI 2100   DIS 201

    • R
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7942 STSCI 2100   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7943 STSCI 2100   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7944 STSCI 2100   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7945 STSCI 2100   DIS 205

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7946 STSCI 2100   DIS 206

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7947 STSCI 2100   DIS 207

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7948 STSCI 2100   DIS 208

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7949 STSCI 2100   DIS 209

    • R
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7950 STSCI 2100   DIS 210

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7951 STSCI 2100   DIS 211

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7952 STSCI 2100   DIS 212

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7953 STSCI 2100   DIS 213

    • R
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7954 STSCI 2100   DIS 214

    • R
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7955 STSCI 2100   DIS 215

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7956 STSCI 2100   DIS 216

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7957 STSCI 2100   DIS 217

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  7958 STSCI 2100   DIS 218

    • F
    • Jan 25 - May 11, 2027
    • 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

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  7962 STSCI 2110   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: In Person

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

  •  7963 STSCI 2110   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: In Person

  •  7964 STSCI 2110   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8768 STSCI 2150   LEC 001

    • MWF
    • Jan 25 - May 11, 2027
    • 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/

  •  8769 STSCI 2150   DIS 201

    • R
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8770 STSCI 2150   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8771 STSCI 2150   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8772 STSCI 2150   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8773 STSCI 2150   DIS 205

    • R
    • Jan 25 - May 11, 2027
    • 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8727 STSCI 3080   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: In Person

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

  •  8728 STSCI 3080   DIS 201

    • T
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: In Person

  •  8729 STSCI 3080   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • 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 3110, ILRST 3110

  • 4 Credits Stdnt Opt

  •  7219 STSCI 3110   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • McKee, D

  • Instruction Mode: In Person

  •  7220 STSCI 3110   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7221 STSCI 3110   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7222 STSCI 3110   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

  •  7223 STSCI 3110   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Staff

  • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5201

  • 4 Credits Stdnt Opt

  •  8674 STSCI 3200   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

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

  •  8675 STSCI 3200   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8676 STSCI 3200   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8677 STSCI 3200   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8678 STSCI 3200   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

STSCI 3510

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510, ORIE 5510

  • 4 Credits Stdnt Opt

  • 15415 STSCI 3510   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Dai, J

  • Instruction Mode: In Person

  • 15416 STSCI 3510   DIS 201

    • M
    • Jan 25 - May 11, 2027
    • Dai, J

  • Instruction Mode: In Person

  • 15417 STSCI 3510   DIS 202

    • M
    • Jan 25 - May 11, 2027
    • Dai, J

  • Instruction Mode: In Person

  • 15418 STSCI 3510   DIS 203

    • T
    • Jan 25 - May 11, 2027
    • Dai, J

  • Instruction Mode: In Person

  • 15419 STSCI 3510   DIS 204

    • W
    • Jan 25 - May 11, 2027
    • Dai, J

  • Instruction Mode: In Person

  • 15420 STSCI 3510   DIS 205

    • F
    • Jan 25 - May 11, 2027
    • Dai, J

  • 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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8736 STSCI 3740   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Ning, Y

  • Instruction Mode: In Person

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

  •  8737 STSCI 3740   PRJ 601

    • Jan 25 - May 11, 2027
    • Ning, Y

  • Instruction Mode: In Person

STSCI 4090

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

View Enrollment Information

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

  • 4 Credits Graded

  •  8679 STSCI 4090   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

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

  •  8680 STSCI 4090   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

  •  8681 STSCI 4090   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4100

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8672 STSCI 4100   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Yang, D

  • Instruction Mode: In Person

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

STSCI 4520

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

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

  • 4 Credits Stdnt Opt

  •  8725 STSCI 4520   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

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

  •  8726 STSCI 4520   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

STSCI 4550

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

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

  • 4 Credits Opt NoAud

  •  8688 STSCI 4550   LEC 001

    • W
    • Jan 25 - May 11, 2027
    • 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/

  •  8689 STSCI 4550   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Basu, S

  • Instruction Mode: In Person

STSCI 4720

Neural networks form the backbone of modern artificial intelligence methodologies. This course will survey various neural networks architectures with a heavy emphasis on practical application to their ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 5720

  • 2 Credits Opt NoAud

  •  8821 STSCI 4720   LEC 001

    • TR
    • Jan 25 - Mar 16, 2027
    • Bradic, J

  • Instruction Mode: In Person

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

STSCI 4725

Statistical learning methods based on decision trees are flexible and intuitive solutions to classification and regression problems, which nevertheless are straightforward to interpret. This course will ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 5725

  • 2 Credits Stdnt Opt

  •  8819 STSCI 4725   LEC 001

    • TR
    • Mar 17 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

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

STSCI 4881

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

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 5881

  • 2 Credits GradeNoAud

  •  8823 STSCI 4881   LEC 001

    • TR
    • Jan 25 - Mar 16, 2027
    • Wells, M

  • Instruction Mode: In Person

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

STSCI 4970

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8775 STSCI 4970   IND 601

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8776 STSCI 4970   IND 602

    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8777 STSCI 4970   IND 603

    • Jan 25 - May 11, 2027
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8778 STSCI 4970   IND 604

    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8779 STSCI 4970   IND 605

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8780 STSCI 4970   IND 606

    • Jan 25 - May 11, 2027
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8781 STSCI 4970   IND 607

    • Jan 25 - May 11, 2027
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8782 STSCI 4970   IND 608

    • Jan 25 - May 11, 2027
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Sat/Unsat

  •  8783 STSCI 4970   IND 609

    • Jan 25 - May 11, 2027
    • 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

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  •  8774 STSCI 4980   PRJ 601

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: In Person

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

STSCI 4981

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

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 5981

  • 2 Credits Opt NoAud

  •  8817 STSCI 4981   PRJ 601

    • TR
    • Mar 17 - May 11, 2027
    • Wells, M

  • Instruction Mode: In Person

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

STSCI 4990

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8738 STSCI 4990   IND 601

    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: Independent Studies

    Students from all Colleges must submit a Bowers Computing & Information Science Research Form (https://experience.cornell.edu/opportunities/cornell-bowers-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.

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.  Combined with: STSCI 5995

  • 1 Credit Sat/Unsat

  •  8802 STSCI 4995   IND 601

    • Jan 25 - May 11, 2027
    • 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

  •  8722 STSCI 4999   RSC 701

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8723 STSCI 4999   RSC 702

    • Jan 25 - May 11, 2027
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8724 STSCI 4999   RSC 703

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Directed Research

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 Opt NoAud

  •  8785 STSCI 5065   LEC 001

    • MWF
    • Jan 25 - May 11, 2027
    • Yang, X

  • Instruction Mode: In Person

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

STSCI 5080

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8733 STSCI 5080   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: In Person

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

  •  8734 STSCI 5080   DIS 201

    • T
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: In Person

  •  8735 STSCI 5080   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 5090

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

View Enrollment Information

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

  • 4 Credits Graded

  •  8804 STSCI 5090   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

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

  •  8805 STSCI 5090   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: In Person

  •  8806 STSCI 5090   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • 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 2110, ILRST 5110, STSCI 2110

  • 4 Credits GradeNoAud

  •  7968 STSCI 5110   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: In Person

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

  •  7969 STSCI 5110   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: In Person

  •  7970 STSCI 5110   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • Packard, K

  • Instruction Mode: In Person

STSCI 5111

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8815 STSCI 5111   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Yang, D

  • Instruction Mode: In Person

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

STSCI 5150

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8794 STSCI 5150   LEC 001

    • MWF
    • Jan 25 - May 11, 2027
    • 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/

  •  8795 STSCI 5150   DIS 201

    • R
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8796 STSCI 5150   DIS 202

    • R
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8797 STSCI 5150   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8798 STSCI 5150   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

  •  8799 STSCI 5150   DIS 205

    • R
    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: In Person

STSCI 5201

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8810 STSCI 5201   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

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

  •  8811 STSCI 5201   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8812 STSCI 5201   DIS 202

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8813 STSCI 5201   DIS 203

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

  •  8814 STSCI 5201   DIS 204

    • F
    • Jan 25 - May 11, 2027
    • Entner, J

  • Instruction Mode: In Person

STSCI 5520

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8808 STSCI 5520   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

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

  •  8809 STSCI 5520   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

STSCI 5550

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

View Enrollment Information

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

  • 4 Credits Opt NoAud

  •  8790 STSCI 5550   LEC 001

    • W
    • Jan 25 - May 11, 2027
    • 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/

  •  8791 STSCI 5550   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Basu, 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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Graded

  • 15489 STSCI 5640   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Goldberg, D

  • Instruction Mode: In Person

  • 15490 STSCI 5640   DIS 201

    • F
    • Jan 25 - May 11, 2027
    • Goldberg, D

  • Instruction Mode: In Person

STSCI 5720

Neural networks form the backbone of modern artificial intelligence methodologies. This course will survey various neural networks architectures with a heavy emphasis on practical application to their ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 4720

  • 2 Credits Opt NoAud

  •  8822 STSCI 5720   LEC 001

    • TR
    • Jan 25 - Mar 16, 2027
    • Bradic, J

  • Instruction Mode: In Person

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

STSCI 5725

Statistical learning methods based on decision trees are flexible and intuitive solutions to classification and regression problems, which nevertheless are straightforward to interpret. This course will ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 4725

  • 2 Credits Stdnt Opt

  •  8820 STSCI 5725   LEC 001

    • TR
    • Mar 17 - May 11, 2027
    • Kent, D

  • Instruction Mode: In Person

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

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

  •  8800 STSCI 5740   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Ning, Y

  • Instruction Mode: In Person

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

  •  8801 STSCI 5740   PRJ 601

    • Jan 25 - May 11, 2027
    • Ning, Y

  • Instruction Mode: In Person

STSCI 5881

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

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Combined with: STSCI 4881

  • 2 Credits GradeNoAud

  •  8824 STSCI 5881   LEC 001

    • TR
    • Jan 25 - Mar 16, 2027
    • Wells, M

  • 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

  •  8816 STSCI 5955   LEC 001

    • M
    • Jan 25 - May 11, 2027
    • 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 5980

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

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4980

  • 2 Credits Sat/Unsat

  •  8807 STSCI 5980   PRJ 601

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: In Person

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

STSCI 5981

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

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Combined with: STSCI 4981

  • 2 Credits Opt NoAud

  •  8818 STSCI 5981   PRJ 601

    • TR
    • Mar 17 - May 11, 2027
    • Wells, M

  • Instruction Mode: In Person

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

STSCI 5990

For individual or group research projects conducted under the direction of a member of STSCI faculty or instructors in a special area of statistical science that is not covered by regular course ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8695 STSCI 5990   RSC 702

    • Jan 25 - May 11, 2027
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8696 STSCI 5990   RSC 703

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8697 STSCI 5990   RSC 704

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  8699 STSCI 5990   RSC 706

    • Jan 25 - May 11, 2027
    • Basu, S

  • Instruction Mode: Directed Research

STSCI 5995

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

View Enrollment Information

Syllabi: none
  •   Project Session Full.  Combined with: STSCI 4995

  • 1 Credit Sat/Unsat

  •  8803 STSCI 5995   IND 601

    • Jan 25 - May 11, 2027
    • Booth, J

  • 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 to solve business, managerial ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8753 STSCI 5999   RSC 701

    • Jan 25 - May 11, 2027
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8754 STSCI 5999   RSC 702

    • Jan 25 - May 11, 2027
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8755 STSCI 5999   RSC 703

    • Jan 25 - May 11, 2027
    • Kuceyeski, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8756 STSCI 5999   RSC 704

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8757 STSCI 5999   RSC 705

    • Jan 25 - May 11, 2027
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8758 STSCI 5999   RSC 706

    • Jan 25 - May 11, 2027
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8759 STSCI 5999   RSC 707

    • Jan 25 - May 11, 2027
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8760 STSCI 5999   RSC 708

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8761 STSCI 5999   RSC 709

    • Jan 25 - May 11, 2027
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8762 STSCI 5999   RSC 710

    • Jan 25 - May 11, 2027
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8763 STSCI 5999   RSC 711

    • Jan 25 - May 11, 2027
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8764 STSCI 5999   RSC 712

    • Jan 25 - May 11, 2027
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8765 STSCI 5999   RSC 713

    • Jan 25 - May 11, 2027
    • Kato, K

      Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8766 STSCI 5999   RSC 714

    • Jan 25 - May 11, 2027
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  •  8767 STSCI 5999   RSC 715

    • Jan 25 - May 11, 2027
    • Bradic, J

  • Instruction Mode: Directed Research

STSCI 6730

This class will cover fundamental concepts in mathematical statistics, including both finite sample and asymptotic theory. Specific topics include: elements of risk optimality, Cramer-Rao-type bounds; ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Opt NoAud

  •  8784 STSCI 6730   LEC 001

    • T
    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: In Person

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

STSCI 6750

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  8789 STSCI 6750   LEC 001

    • MW
    • Jan 25 - May 11, 2027
    • Kato, K

  • Instruction Mode: In Person

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

STSCI 6780

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

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 15470 STSCI 6780   LEC 001

    • TR
    • Jan 25 - May 11, 2027
    • Kowal, D

  • 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

  •  8786 STSCI 6970   IND 601

    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  8787 STSCI 6970   IND 602

    • Jan 25 - May 11, 2027
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7999

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

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8701 STSCI 7999   RSC 701

    • Jan 25 - May 11, 2027
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8702 STSCI 7999   RSC 702

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8703 STSCI 7999   RSC 703

    • Jan 25 - May 11, 2027
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8704 STSCI 7999   RSC 704

    • Jan 25 - May 11, 2027
    • Bradic, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8705 STSCI 7999   RSC 705

    • Jan 25 - May 11, 2027
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8706 STSCI 7999   RSC 706

    • Jan 25 - May 11, 2027
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8707 STSCI 7999   RSC 707

    • Jan 25 - May 11, 2027
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8708 STSCI 7999   RSC 708

    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8709 STSCI 7999   RSC 709

    • Jan 25 - May 11, 2027
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  8710 STSCI 7999   RSC 710

    • Jan 25 - May 11, 2027
    • 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

  •  8712 STSCI 9999   RSC 701

    • Jan 25 - May 11, 2027
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8713 STSCI 9999   RSC 702

    • Jan 25 - May 11, 2027
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8714 STSCI 9999   RSC 703

    • Jan 25 - May 11, 2027
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8715 STSCI 9999   RSC 704

    • Jan 25 - May 11, 2027
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8716 STSCI 9999   RSC 705

    • Jan 25 - May 11, 2027
    • Bradic, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8717 STSCI 9999   RSC 706

    • Jan 25 - May 11, 2027
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8718 STSCI 9999   RSC 707

    • Jan 25 - May 11, 2027
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8719 STSCI 9999   RSC 708

    • Jan 25 - May 11, 2027
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8720 STSCI 9999   RSC 709

    • Jan 25 - May 11, 2027
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  8721 STSCI 9999   RSC 710

    • Jan 25 - May 11, 2027
    • Dwivedi, R

  • Instruction Mode: Directed Research