Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the Courses of Study 2021-2022.

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

  • 10446 STSCI 1380   LEC 001

  • Instruction Mode: In Person

  • 10447 STSCI 1380   DIS 201

  • Instruction Mode: In Person

  • 10448 STSCI 1380   DIS 202

    • W To Be Assigned
    • Jan 24 - May 10, 2022
    • Basu, S

  • Instruction Mode: In Person

  • 10449 STSCI 1380   DIS 203

  • Instruction Mode: In Person

  • 10450 STSCI 1380   DIS 204

  • 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

  • 10056 STSCI 2100   LEC 001

  • Instruction Mode: In Person

  • 10057 STSCI 2100   DIS 201

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10058 STSCI 2100   DIS 202

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10059 STSCI 2100   DIS 203

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10060 STSCI 2100   DIS 204

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10061 STSCI 2100   DIS 205

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10062 STSCI 2100   DIS 206

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10063 STSCI 2100   DIS 207

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10064 STSCI 2100   DIS 208

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10065 STSCI 2100   DIS 209

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10066 STSCI 2100   DIS 210

    • F Ives Hall 215
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10258 STSCI 2100   DIS 211

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10312 STSCI 2100   DIS 212

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10313 STSCI 2100   DIS 213

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10314 STSCI 2100   DIS 214

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10654 STSCI 2100   DIS 215

    • F Ives Hall 112
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10545 STSCI 2100   DIS 216

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10546 STSCI 2100   DIS 217

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10655 STSCI 2100   DIS 218

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person
    Please contact Allen Ward (allenward@cornell.edu) for information and permission to enroll in this discussion section.

  • 10547 STSCI 2100   DIS 219

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10219 STSCI 2100   DIS 220

    • F Ives Hall 116
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person
    Please contact Allen Ward (allenward@cornell.edu) for information and permission to enroll in this discussion section.

  • 10220 STSCI 2100   DIS 221

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10221 STSCI 2100   DIS 222

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10222 STSCI 2100   DIS 223

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10223 STSCI 2100   DIS 224

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • Entner, J

  • Instruction Mode: In Person

  • 10224 STSCI 2100   DIS 225

    • F Ives Hall 111
    • Jan 24 - May 10, 2022
    • 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

  • 10155 STSCI 2110   LEC 001

    • TR Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10156 STSCI 2110   DIS 201

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10157 STSCI 2110   DIS 202

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • 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 laboratory. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  • 10237 STSCI 2150   LEC 001

  • 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.

  • 10238 STSCI 2150   LAB 401

    • R Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10240 STSCI 2150   LAB 402

    • R Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10782 STSCI 2150   LAB 403

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10794 STSCI 2150   LAB 404

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10795 STSCI 2150   LAB 405

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • 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 3080

  • 4 Credits Stdnt Opt

  • 10187 STSCI 3080   LEC 001

    • MW Malott Hall 253
    • Jan 24 - May 10, 2022
    • El Alaoui, A

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

  • 10188 STSCI 3080   DIS 201

    • T Ives Hall 219
    • Jan 24 - May 10, 2022
    • El Alaoui, A

  • Instruction Mode: In Person

  • 10445 STSCI 3080   DIS 202

    • R Ives Hall 219
    • Jan 24 - May 10, 2022
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 3090

This course will cover financial mathematics and financial instruments relevant to exam FM offered by the Society of Actuaries. Topics on the present and accumulated value of future cash flows will be ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3090

  • 4 Credits Opt NoAud

  • 20089 STSCI 3090   LEC 001

    • TR Ives Hall 111
    • Jan 24 - May 10, 2022
    • Staff

  • Instruction Mode: In Person

  • 20090 STSCI 3090   DIS 201

    • W Warren Hall B51
    • Jan 24 - May 10, 2022
    • Staff

  • Instruction Mode: In Person

STSCI 3110

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

View Enrollment Information

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

  • 4 Credits Graded

  • 10225 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10226 STSCI 3110   DIS 201

    • R Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10227 STSCI 3110   DIS 202

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10228 STSCI 3110   DIS 203

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10229 STSCI 3110   DIS 204

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

STSCI 3200

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

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

  • 4 Credits Stdnt Opt

  • 10354 STSCI 3200   LEC 001

    • TR Warren Hall 175
    • Jan 24 - May 10, 2022
    • Entner, J

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

  • 10355 STSCI 3200   LAB 401

  • Instruction Mode: In Person

  • 10356 STSCI 3200   LAB 402

  • Instruction Mode: In Person

  • 10357 STSCI 3200   LAB 403

  • Instruction Mode: In Person

  • 10478 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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 3510ORIE 5510

  • 4 Credits Stdnt Opt

  • 10083 STSCI 3510   LEC 001

  • Instruction Mode: In Person

  • 10084 STSCI 3510   DIS 201

    • M Upson Hall 206
    • Jan 24 - May 10, 2022
    • Dai, J

  • Instruction Mode: In Person

  • 10085 STSCI 3510   DIS 202

    • T Upson Hall 146
    • Jan 24 - May 10, 2022
    • Dai, J

  • Instruction Mode: In Person

  • 10086 STSCI 3510   DIS 203

    • W Upson Hall 206
    • Jan 24 - May 10, 2022
    • Dai, J

  • Instruction Mode: In Person

  • 10087 STSCI 3510   DIS 204

  • Instruction Mode: In Person

  • 18378 STSCI 3510   DIS 205

    • F Upson Hall 222
    • Jan 24 - May 10, 2022
    • Dai, J

  • Instruction Mode: In Person

STSCI 4060

The first part of the course teaches basic Python programming knowledge and skills. The second part deals with Python application in statistics (e.g., data visualization and statistical analysis), ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5045

  • 3 Credits Stdnt Opt

  • 10088 STSCI 4060   LEC 001

    • MWF Emerson Hall 135
    • Jan 24 - May 10, 2022
    • Yang, X

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. Permission of instructor required. Enrollment preference is given to the students in the MPS Program in Applied Statistics.

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, parameter ... view course details

View Enrollment Information

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

  • 4 Credits Graded

  • 10079 STSCI 4090   LEC 001

    • TR Caldwell Hall 100
    • Jan 24 - May 10, 2022
    • Diciccio, T

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

  • 10080 STSCI 4090   DIS 201

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 10464 STSCI 4090   DIS 202

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 4140

This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140STSCI 5140

  • 4 Credits Stdnt Opt

  • 10230 STSCI 4140   LEC 001

    • MW Ives Hall 219
    • Jan 24 - May 10, 2022
    • Booth, J

  • 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 laboratory. Combined with: STSCI 5520

  • 4 Credits Stdnt Opt

  •  1867 STSCI 4520   LEC 001

    • TR Upson Hall 142
    • Jan 24 - May 10, 2022
    • Guinness, J

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

  •  1868 STSCI 4520   LAB 401

  • Instruction Mode: In Person

  •  2259 STSCI 4520   LAB 402

  • Instruction Mode: In Person

STSCI 4550

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

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

  • 4 Credits Stdnt Opt

  • 10158 STSCI 4550   LEC 001

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

  • 10172 STSCI 4550   DIS 201

  • Instruction Mode: In Person

STSCI 4750

The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 5750

  • 4 Credits Stdnt Opt

  • 19810 STSCI 4750   LEC 001

    • MW Upson Hall 216
    • Jan 24 - May 10, 2022
    • Thomas, A

  • Instruction Mode: In Person

STSCI 4780

Bayesian data analysis uses probability theory as a kind of calculus of inference, specifying how to quantify and propagate uncertainty in data-based chains of reasoning. Students will learn the fundamental ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 5780

  • 4 Credits Stdnt Opt

  • 17359 STSCI 4780   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Basic multivariate differential and integral calculus (e.g., MATH 1120 or 2220), basic linear algebra (e.g., MATH 2210, 2310 or 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).

  • 17360 STSCI 4780   LAB 401

    • F Warren Hall B75
    • Jan 24 - May 10, 2022
    • Loredo, T

  • Instruction Mode: In Person
    Prerequisites: Basic multivariate differential and integral calculus (e.g., MATH 1120 or 2220), basic linear algebra (e.g., MATH 2210, 2310 or 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).

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 Stdnt Opt

  • 10280 STSCI 4970   IND 601

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10353 STSCI 4970   IND 602

    • TBA
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10364 STSCI 4970   IND 603

    • TBA
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 10396 STSCI 4970   IND 604

    • TBA
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 19836 STSCI 4970   IND 605

    • TBA
    • Jan 24 - May 10, 2022
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 19837 STSCI 4970   IND 606

    • TBA
    • Jan 24 - May 10, 2022
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Regular Academic Session. 

  • 1-4 Credits Stdnt Opt

  • 19838 STSCI 4970   IND 607

    • TBA
    • Jan 24 - May 10, 2022
    • Basu, S

  • Instruction Mode: In Person

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
  •   Regular Academic Session.  Combined with: STSCI 5980

  • 2 Credits Sat/Unsat

  • 10467 STSCI 4980   LAB 401

  • 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

  • 13893 STSCI 4990   IND 601

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13945 STSCI 4990   IND 602

    • TBA
    • Jan 24 - May 10, 2022
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14069 STSCI 4990   IND 603

    • TBA
    • Jan 24 - May 10, 2022
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14109 STSCI 4990   IND 604

    • TBA
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14110 STSCI 4990   IND 605

    • TBA
    • Jan 24 - May 10, 2022
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14124 STSCI 4990   IND 607

    • TBA
    • Jan 24 - May 10, 2022
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14127 STSCI 4990   IND 608

    • TBA
    • Jan 24 - May 10, 2022
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14162 STSCI 4990   IND 609

    • TBA
    • Jan 24 - May 10, 2022
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14167 STSCI 4990   IND 610

    • TBA
    • Jan 24 - May 10, 2022
    • Wegkamp, M

  • Instruction Mode: Independent Studies

STSCI 4995

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

View Enrollment Information

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

  • 1 Credit Sat/Unsat

  • 19002 STSCI 4995   IND 601

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13834 STSCI 4999   RSC 701

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14080 STSCI 4999   RSC 702

    • TBA
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14260 STSCI 4999   RSC 703

    • TBA
    • Jan 24 - May 10, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

STSCI 5045

The first part of the course teaches basic Python programming knowledge and skills. The second part deals with Python application in statistics (e.g., data visualization and statistical analysis), ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4060

  • 3 Credits Stdnt Opt

  • 19320 STSCI 5045   LEC 001

    • MWF Emerson Hall 135
    • Jan 24 - May 10, 2022
    • Yang, X

  • Instruction Mode: In Person
    Prerequisite: Basic programming skills (any language), SQL (Oracle preferred) and SAS. Permission of instructor required.

STSCI 5065

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

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

  • 3 Credits Stdnt Opt

  • 10296 STSCI 5065   LEC 001

    • MW Ives Hall 115
    • Jan 24 - May 10, 2022
    • Yang, X

  • 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.

  • 10297 STSCI 5065   LAB 401

    • F Upson Hall 216
    • Jan 24 - May 10, 2022
    • Yang, X

  • 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

  • 19011 STSCI 5090   LEC 001

    • TR Caldwell Hall 100
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 19012 STSCI 5090   DIS 201

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  • 19013 STSCI 5090   DIS 202

    • F Warren Hall 101
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 5110

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

View Enrollment Information

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

  • 3 Credits GradeNoAud

  • 10204 STSCI 5110   LEC 001

    • TR Ives Hall 215
    • Jan 24 - May 10, 2022
    • Packard, K

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

  • 10205 STSCI 5110   DIS 201

    • F Ives Hall 219
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

  • 10206 STSCI 5110   DIS 202

    • R Ives Hall 116
    • Jan 24 - May 10, 2022
    • Packard, K

  • Instruction Mode: In Person

STSCI 5140

This course begins with a discussion of some general principles of experimental design. Classical designs are covered in detail, motivated by real data applications. These include completely randomized, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4140ILRST 4140STSCI 4140

  • 4 Credits Stdnt Opt

  • 19603 STSCI 5140   LEC 001

    • MW Ives Hall 219
    • Jan 24 - May 10, 2022
    • Booth, J

  • Instruction Mode: In Person

STSCI 5150

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

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

  • 4 Credits Stdnt Opt

  • 18598 STSCI 5150   LEC 001

  • Instruction Mode: In Person

  • 18599 STSCI 5150   LAB 401

    • R Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 18600 STSCI 5150   LAB 402

    • R Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 18601 STSCI 5150   LAB 403

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 18602 STSCI 5150   LAB 404

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 18603 STSCI 5150   LAB 405

    • F Upson Hall 225
    • Jan 24 - May 10, 2022
    • 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

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

  • 4 Credits Stdnt Opt

  • 20387 STSCI 5201   LEC 001

  • Instruction Mode: In Person

  • 20388 STSCI 5201   LAB 401

  • Instruction Mode: In Person

  • 20389 STSCI 5201   LAB 402

  • Instruction Mode: In Person

  • 20390 STSCI 5201   LAB 403

  • Instruction Mode: In Person

  • 20391 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

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

  • 4 Credits Stdnt Opt

  • 20277 STSCI 5520   LEC 001

    • TR Upson Hall 142
    • Jan 24 - May 10, 2022
    • Guinness, J

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

  • 20278 STSCI 5520   LAB 401

  • Instruction Mode: In Person

  • 20279 STSCI 5520   LAB 402

  • 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

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

  • 4 Credits Stdnt Opt

  • 19325 STSCI 5550   LEC 001

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

  • 19326 STSCI 5550   DIS 201

  • 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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 5640

  • 4 Credits Stdnt Opt

  • 10183 STSCI 5640   LEC 001

  • Instruction Mode: In Person

  • 10184 STSCI 5640   DIS 201

  • Instruction Mode: In Person

STSCI 5750

The goal of this course is to teach you why machine learning works and how to implement it. We will cover the essentials of learning theory, including the probably approximately correct (PAC) framework ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4750

  • 4 Credits Stdnt Opt

  • 19812 STSCI 5750   LEC 001

    • MW Upson Hall 216
    • Jan 24 - May 10, 2022
    • Thomas, A

  • Instruction Mode: In Person

STSCI 5780

Bayesian data analysis uses probability theory as a kind of calculus of inference, specifying how to quantify and propagate uncertainty in data-based chains of reasoning. Students will learn the fundamental ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: STSCI 4780

  • 4 Credits Stdnt Opt

  • 17361 STSCI 5780   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Basic multivariate differential and integral calculus (e.g., MATH 1120 or 2220), basic linear algebra (e.g., MATH 2210, 2310 or 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).

  • 17362 STSCI 5780   LAB 401

    • F Warren Hall B75
    • Jan 24 - May 10, 2022
    • Loredo, T

  • Instruction Mode: In Person
    Prerequisites: Basic multivariate differential and integral calculus (e.g., MATH 1120 or 2220), basic linear algebra (e.g., MATH 2210, 2310 or 2940), familiarity with some programming language or numerical computing environment (like R, Python, MATLAB, Octave, IDL).

STSCI 5953

This course will focus on specific career and professional development topics for Master of Professional Studies in Applied Statistics students. Through lectures, workshops and seminars from MPS Statistics ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Stdnt Opt

  • 11363 STSCI 5953   LEC 001

    • TBA
    • Jan 24 - May 10, 2022
    • Staff

  • Instruction Mode: In Person
    Only open to MPS Applied Statistics students

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

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

  • 2 Credits Sat/Unsat

  • 19304 STSCI 5980   LAB 401

  • 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

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13617 STSCI 5990   RSC 701

    • TBA
    • Jan 24 - May 10, 2022
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14092 STSCI 5990   RSC 703

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19833 STSCI 5990   RSC 704

    • TBA
    • Jan 24 - May 10, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19834 STSCI 5990   RSC 705

    • TBA
    • Jan 24 - May 10, 2022
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19835 STSCI 5990   RSC 706

    • TBA
    • Jan 24 - May 10, 2022
    • 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

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

  • 1 Credit Sat/Unsat

  • 19003 STSCI 5995   IND 601

    • TBA
    • Jan 24 - May 10, 2022
    • 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

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Syllabi: none
  •   Project Session Full. 

  • 4 Credits Graded

  • 13910 STSCI 5999   RSC 701

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13911 STSCI 5999   RSC 702

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13912 STSCI 5999   RSC 703

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13913 STSCI 5999   RSC 704

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13914 STSCI 5999   RSC 705

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13919 STSCI 5999   RSC 711

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13921 STSCI 5999   RSC 713

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13925 STSCI 5999   RSC 717

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13927 STSCI 5999   RSC 719

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13928 STSCI 5999   RSC 720

    • TBA
    • Jan 24 - May 10, 2022
    • Smith, M

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

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

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

  • 4 Credits Stdnt Opt

  • 10635 STSCI 6730   LEC 001

    • MW Warren Hall 138
    • Jan 24 - May 10, 2022
    • Kato, K

  • 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 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

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Syllabi: none
  •   Seven Week - First.  Combined with: ORIE 6780

  • 3 Credits Stdnt Opt

  • 19594 STSCI 6780   LEC 001

  • Instruction Mode: In Person

STSCI 6940

Topics are arranged at the beginning of the semester for individual study or for group discussions. Or, students may elect to undertake a project in statistics. The work is supervised by a professor in ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: Random Graph Analysis

  • 10475 STSCI 6940   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Linear algebra (MATH 2210 or equivalent), and some basic probability theory (STSCI 3080).

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

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 20235 STSCI 6970   IND 601

    • TBA
    • Jan 24 - May 10, 2022
    • Wegkamp, M

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

STSCI 7180

A theoretical development of generalized linear models and related topics including categorical data problems, generalized additive models, and generalized linear mixed models. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 19264 STSCI 7180   LEC 001

    • TR To Be Assigned
    • Jan 24 - May 10, 2022
    • Ning, Y

  • Instruction Mode: In Person
    Prerequisite: BTRY 6020, BTRY 4090 or MATH 4720 or equivalent. Primarily for Ph.D. students in statistics.

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

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Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Stdnt Opt

  • 20098 STSCI 7951   LEC 001

    • R To Be Assigned
    • Jan 24 - May 10, 2022
    • Basu, S

      Booth, J

      Guinness, J

  • 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

  • 13835 STSCI 7999   RSC 701

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14057 STSCI 7999   RSC 703

    • TBA
    • Jan 24 - May 10, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14058 STSCI 7999   RSC 704

    • TBA
    • Jan 24 - May 10, 2022
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14060 STSCI 7999   RSC 707

    • TBA
    • Jan 24 - May 10, 2022
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14061 STSCI 7999   RSC 708

    • TBA
    • Jan 24 - May 10, 2022
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14062 STSCI 7999   RSC 709

    • TBA
    • Jan 24 - May 10, 2022
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14064 STSCI 7999   RSC 713

    • TBA
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14065 STSCI 7999   RSC 715

    • TBA
    • Jan 24 - May 10, 2022
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14187 STSCI 7999   RSC 716

    • TBA
    • Jan 24 - May 10, 2022
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 14188 STSCI 7999   RSC 717

    • TBA
    • Jan 24 - May 10, 2022
    • 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

  • 13836 STSCI 9999   RSC 701

    • TBA
    • Jan 24 - May 10, 2022
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13931 STSCI 9999   RSC 703

    • TBA
    • Jan 24 - May 10, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13932 STSCI 9999   RSC 704

    • F
    • Jan 24 - May 10, 2022
    • Bunea, F

  • Instruction Mode: In Person

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13934 STSCI 9999   RSC 707

    • TBA
    • Jan 24 - May 10, 2022
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13935 STSCI 9999   RSC 708

    • TBA
    • Jan 24 - May 10, 2022
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13936 STSCI 9999   RSC 709

    • TBA
    • Jan 24 - May 10, 2022
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13937 STSCI 9999   RSC 711

    • F
    • Jan 24 - May 10, 2022
    • Wegkamp, M

  • Instruction Mode: In Person

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13938 STSCI 9999   RSC 715

    • TBA
    • Jan 24 - May 10, 2022
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13939 STSCI 9999   RSC 716

    • TBA
    • Jan 24 - May 10, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research