Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the Courses of Study 2022-2023.

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

  •  9281 STSCI 2100   LEC 001

    • TR Ives Hall 305
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • 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.

  •  9282 STSCI 2100   DIS 201

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9283 STSCI 2100   DIS 202

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9284 STSCI 2100   DIS 203

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9285 STSCI 2100   DIS 204

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9286 STSCI 2100   DIS 205

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9840 STSCI 2100   DIS 206

    • F Ives Hall 103
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9287 STSCI 2100   DIS 207

    • F Ives Hall 107
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9288 STSCI 2100   DIS 208

    • F Ives Hall 215
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9289 STSCI 2100   DIS 209

    • F Ives Hall 215
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9290 STSCI 2100   DIS 210

    • F Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9291 STSCI 2100   DIS 211

    • F Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9447 STSCI 2100   DIS 212

    • F Ives Hall 107
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9506 STSCI 2100   DIS 213

    • F Ives Hall 112
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9535 STSCI 2100   DIS 214

    • R Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

  •  9536 STSCI 2100   DIS 215

    • R Ives Hall 109
    • Aug 22 - Dec 5, 2022
    • Packard, K

  • Instruction Mode: In Person

STSCI 2130

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

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Syllabi: none
  •   Seven Week - First.  Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  • 20159 STSCI 2130   LEC 001

    • MW Ives Hall 105
    • Aug 22 - Oct 7, 2022
    • Das, S

  • 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

  •  9455 STSCI 2150   LEC 001

  • Instruction Mode: In Person
    This course is closed, but we are keeping a waitlist. Here is the link to get on the waitlist: https://forms.gle/TqqyphYxLkMYeXH5A Follow-up questions can be addressed to Ashley Gasdow, akg85@cornell.edu. 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.
    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.

  •  9586 STSCI 2150   LAB 401

    • F Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  •  9456 STSCI 2150   LAB 402

    • R Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  •  9457 STSCI 2150   LAB 403

    • F Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  •  9458 STSCI 2150   LAB 404

  • Instruction Mode: In Person

STSCI 2200

In this course, students develop statistical methods and apply them to problems encountered in the biological and environmental sciences. Methods include data visualization, population parameter estimation, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3010BTRY 5010STSCI 5200

  • 4 Credits Stdnt Opt

  •  8996 STSCI 2200   LEC 001

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

  •  8997 STSCI 2200   LAB 401

  • Instruction Mode: In Person

  •  8998 STSCI 2200   LAB 402

  • Instruction Mode: In Person

  •  8999 STSCI 2200   LAB 403

  • Instruction Mode: In Person

  •  9000 STSCI 2200   LAB 404

  • Instruction Mode: In Person

  •  9001 STSCI 2200   LAB 405

  • Instruction Mode: In Person

  •  9619 STSCI 2200   LAB 406

  • Instruction Mode: In Person

STSCI 3040

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course aims to prepare students for dealing with data ... view course details

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

  • 4 Credits Stdnt Opt

  • 10338 STSCI 3040   LEC 001

  • Instruction Mode: In Person
    ECON / STSCI 3110, ORIE 2700

  • 10339 STSCI 3040   LAB 401

  • Instruction Mode: In Person

  • 10340 STSCI 3040   LAB 402

  • Instruction Mode: In Person

STSCI 3080

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

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

  • 4 Credits Stdnt Opt

  •  9370 STSCI 3080   LEC 001

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

  •  9371 STSCI 3080   DIS 201

    • F Ives Hall 217
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: In Person

  •  9391 STSCI 3080   DIS 202

  • 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

  • 18188 STSCI 3090   LEC 001

  • Instruction Mode: In Person

  • 18189 STSCI 3090   DIS 201

    • F Warren Hall 150
    • Aug 22 - Dec 5, 2022
    • Das, S

  • Instruction Mode: In Person

STSCI 3100

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

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Combined with: BTRY 3100ILRST 3100STSCI 5100

  • 4 Credits Graded

  •  9357 STSCI 3100   LEC 001

    • TR Thurston Hall 203
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person
    Prerequisite: two semesters of statistics.

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

  •  9448 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person
    Prerequisites: MATH 1110 or equivalent. FORBIDDEN OVERLAP: Students may receive credit for only one course in the following group: ILRST/ECON/STSCI 3110, BTRY/STSCI 3080, ECON 3130, and MATH 4710

  •  9449 STSCI 3110   DIS 201

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  •  9751 STSCI 3110   DIS 202

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  •  9841 STSCI 3110   DIS 203

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person

  •  9842 STSCI 3110   DIS 204

    • F Ives Hall 219
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • 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 discussion. Combined with: STSCI 5600

  • 2 Credits S/U NoAud

  • 18190 STSCI 3600   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Introduction to Statistics (STSCI 2100/2130/2150, MATH 1710) or equivalent or permission of the instructor.

  • 19907 STSCI 3600   DIS 201

  • Instruction Mode: In Person

STSCI 4030

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

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

  • 4 Credits Stdnt Opt

  •  9355 STSCI 4030   LEC 001

  • Instruction Mode: In Person
    A two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or Math 4710), multivariable calculus, and linear/matrix algebra.

  •  9484 STSCI 4030   LAB 401

  • Instruction Mode: In Person

  •  9541 STSCI 4030   LAB 402

  • Instruction Mode: In Person

  •  9725 STSCI 4030   LAB 403

  • Instruction Mode: In Person

  •  9726 STSCI 4030   LAB 404

  • Instruction Mode: In Person

STSCI 4090

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

  •  9915 STSCI 4090   LEC 001

    • TR Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: In Person

  •  9916 STSCI 4090   DIS 201

    • F Warren Hall 175
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 4110

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

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 10120 STSCI 4110   LEC 001

  • Instruction Mode: In Person
    Prerequisite: BTRY 3020, BTRY 6020, or equivalent with BTRY 3080 or MATH 4710 also highly recommended.

STSCI 4630

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

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 5630

  • 4 Credits Stdnt Opt

  •  9839 STSCI 4630   LEC 001

  • Instruction Mode: In Person

  • 10083 STSCI 4630   DIS 201

  • Instruction Mode: In Person

  • 10240 STSCI 4630   DIS 204

  • 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.  Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  9472 STSCI 4740   LEC 001

  • Instruction Mode: In Person
    Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.

STSCI 4950

This course will give students the opportunity to apply the statistical knowledge gained in their courses to "real-life" problems. Students will be integrated in the Cornell Statistical Consulting Unit ... view course details

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Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4950BTRY 7950

  • 2 Credits Graded

  •  9907 STSCI 4950   LEC 001

  • 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
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13346 STSCI 4970   IND 601

    • TBA
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • 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. 

  • 2 Credits Sat/Unsat

  •  9465 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

  • 13199 STSCI 4990   IND 601

    • TBA
    • Aug 22 - Dec 5, 2022
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13200 STSCI 4990   IND 602

    • TBA
    • Aug 22 - Dec 5, 2022
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13393 STSCI 4990   IND 603

    • TBA
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13449 STSCI 4990   IND 604

    • TBA
    • Aug 22 - Dec 5, 2022
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13457 STSCI 4990   IND 605

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13550 STSCI 4990   IND 606

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13733 STSCI 4990   IND 607

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13736 STSCI 4990   IND 608

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16186 STSCI 4990   IND 609

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 20405 STSCI 4990   IND 610

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 20448 STSCI 4990   IND 611

    • TBA
    • Aug 22 - Dec 5, 2022
    • Karns, M

  • Instruction Mode: Independent Studies

STSCI 4995

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

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Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  • 10279 STSCI 4995   IND 601

    • TBA
    • Aug 22 - Dec 5, 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

  • 13027 STSCI 4999   RSC 701

    • TBA
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13441 STSCI 4999   RSC 702

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13735 STSCI 4999   RSC 703

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 5010

This course teaches the basics of SAS (Statistical Analysis System) programming and the SAS Enterprise Miner software.  This course is composed two modules.  The first module, in the first 12 weeks, covers ... view course details

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

  • 4 Credits Stdnt Opt

  •  9153 STSCI 5010   LEC 001

    • MW Upson Hall 216
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: In Person
    Enrollment limited to MPS (Applied Statistics) students

  •  9389 STSCI 5010   LAB 401

    • F Malott Hall 253
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: In Person

STSCI 5030

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9633 STSCI 5030   LEC 001

  • Instruction Mode: In Person
    Prerequisites: A two-semester sequence on statistical methods (e.g. BTRY 3010-BTRY 3020), a course on probability and distribution theory (e.g. BTRY 3080 or MATH 4710), multivariable calculus, and linear/matrix algebra, or permission of instructor. Intended for MPS students in Applied Statistics.

  •  9634 STSCI 5030   LAB 401

  • Instruction Mode: In Person

  •  9635 STSCI 5030   LAB 402

  • Instruction Mode: In Person

  •  9727 STSCI 5030   LAB 403

  • Instruction Mode: In Person

  •  9728 STSCI 5030   LAB 404

  • Instruction Mode: In Person

STSCI 5040

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course aims to prepare students for dealing with data ... view course details

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 10342 STSCI 5040   LEC 001

  • Instruction Mode: In Person

  • 10343 STSCI 5040   LAB 401

  • Instruction Mode: In Person

  • 10344 STSCI 5040   LAB 402

  • Instruction Mode: In Person

STSCI 5060

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9428 STSCI 5060   LEC 001

    • MW Warren Hall B75
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: In Person
    Co-requisite: STSCI 5010 or Base SAS programming knowledge and skills

  •  9429 STSCI 5060   LAB 401

    • F Upson Hall 216
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: In Person

STSCI 5080

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  9545 STSCI 5080   LEC 001

    • TR Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • El Alaoui, A

  • Instruction Mode: In Person
    Prerequisite: STSCI 2150 or STSCI 2200/BTRY 3010 or equivalent, MATH 2130 or equivalent. Enrollment limited to MPS (Applied Statistics) students

  •  9546 STSCI 5080   DIS 201

    • F Malott Hall 253
    • Aug 22 - Dec 5, 2022
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 5090

For description and learning oncomes see BTRY 4090. 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

  • 10317 STSCI 5090   LEC 001

    • TR Ives Hall 105
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: In Person

  • 10318 STSCI 5090   DIS 201

    • F Warren Hall 175
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: In Person

STSCI 5100

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

View Enrollment Information

Syllabi:
  •   Regular Academic Session.  Combined with: BTRY 3100ILRST 3100STSCI 3100

  • 4 Credits Graded

  • 10208 STSCI 5100   LEC 001

    • TR Thurston Hall 203
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: In Person
    Prerequisite: two semesters of statistics.

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 laboratory. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  • 10200 STSCI 5150   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.

  • 10201 STSCI 5150   LAB 401

    • F Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10202 STSCI 5150   LAB 402

    • R Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10203 STSCI 5150   LAB 403

    • F Upson Hall 225
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: In Person

  • 10204 STSCI 5150   LAB 404

  • Instruction Mode: In Person

STSCI 5160

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

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  • 10213 STSCI 5160   LEC 001

  • Instruction Mode: In Person

STSCI 5200

For description and learning outcomes, see BTRY 3010. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 3010BTRY 5010STSCI 2200

  • 4 Credits Stdnt Opt

  • 10319 STSCI 5200   LEC 001

  • Instruction Mode: In Person

  • 10320 STSCI 5200   LAB 401

  • Instruction Mode: In Person

  • 10321 STSCI 5200   LAB 402

  • Instruction Mode: In Person

  • 10322 STSCI 5200   LAB 403

  • Instruction Mode: In Person

  • 10323 STSCI 5200   LAB 404

  • Instruction Mode: In Person

  • 10324 STSCI 5200   LAB 405

  • Instruction Mode: In Person

  • 10325 STSCI 5200   LAB 406

  • Instruction Mode: In Person

STSCI 5600

For description and outcomes, see STSCI 3600. view course details

View Enrollment Information

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

  • 2 Credits S/U NoAud

  • 18192 STSCI 5600   LEC 001

  • Instruction Mode: In Person
    Prerequisites: Introduction to Statistics (STSCI 2100/2130/2150, MATH 1710) or equivalent or permission of the instructor.

  • 19908 STSCI 5600   DIS 201

  • Instruction Mode: In Person

STSCI 5630

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

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Syllabi:
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 4630

  • 4 Credits Stdnt Opt

  • 10346 STSCI 5630   LEC 001

  • Instruction Mode: In Person

  • 10347 STSCI 5630   DIS 202

  • Instruction Mode: In Person

  • 10348 STSCI 5630   DIS 203

  • Instruction Mode: In Person

STSCI 5740

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: STSCI 4740

  • 4 Credits Stdnt Opt

  • 10212 STSCI 5740   LEC 001

  • Instruction Mode: In Person
    Prerequisite: CS 1112 or equivalent, MATH 2220, STSCI 3200, STSCI 3080 or MATH 4710.

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:
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  •  9438 STSCI 5953   LEC 001

    • F Malott Hall 253
    • Aug 22 - Dec 5, 2022
    • Scheible, A

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

STSCI 5954

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

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Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Stdnt Opt

  • 18447 STSCI 5954   LEC 001

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

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

  • 13309 STSCI 5990   RSC 701

    • TBA
    • Aug 22 - Dec 5, 2022
    • Basu, S

  • Instruction Mode: Directed Research
    Prerequisite: Multicalculus, linear algebra, and basic statistics. Permission of department required.

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13385 STSCI 5990   RSC 702

    • TBA
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13386 STSCI 5990   RSC 703

    • TBA
    • Aug 22 - Dec 5, 2022
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13492 STSCI 5990   RSC 704

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13507 STSCI 5990   RSC 705

    • TBA
    • Aug 22 - Dec 5, 2022
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13515 STSCI 5990   RSC 706

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13632 STSCI 5990   RSC 707

    • TBA
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 15897 STSCI 5990   RSC 708

    • TBA
    • Aug 22 - Dec 5, 2022
    • Kato, K

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16099 STSCI 5990   RSC 709

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16137 STSCI 5990   RSC 710

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16196 STSCI 5990   RSC 711

    • TBA
    • Aug 22 - Dec 5, 2022
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19232 STSCI 5990   RSC 712

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19233 STSCI 5990   RSC 713

    • TBA
    • Aug 22 - Dec 5, 2022
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19234 STSCI 5990   RSC 714

    • TBA
    • Aug 22 - Dec 5, 2022
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 19235 STSCI 5990   RSC 715

    • TBA
    • Aug 22 - Dec 5, 2022
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 20452 STSCI 5990   RSC 716

    • TBA
    • Aug 22 - Dec 5, 2022
    • Entner, J

  • Instruction Mode: Independent Studies

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. 

  • 1 Credit Sat/Unsat

  • 10278 STSCI 5995   IND 601

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Independent Studies

STSCI 6520

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

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Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits Stdnt Opt

  • 18269 STSCI 6520   LEC 001

    • MW Olin Hall 145
    • Aug 22 - Dec 5, 2022
    • Basu, S

  • Instruction Mode: In Person
    Prerequisite: BTRY 3080, BTRY 4030 and BTRY 4090 (or equivalent). Previous programming experience in R is required.

STSCI 6610

The course covers the analysis of spatial and/or spatial-temporal data, defined as data that include references to spatial locations or regions. Topics may include spatial interpolation, regression with ... view course details

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18271 STSCI 6610   LEC 001

    • TR Corson-Mudd A106
    • Aug 22 - Dec 5, 2022
    • Guinness, J

  • Instruction Mode: In Person
    STSCI 4030/5030 or equivalent plus STSCI 3080 or equivalent plus STSCI 4520/5520 or proficiency in R programming

STSCI 6740

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  • 10009 STSCI 6740   LEC 001

    • TR Malott Hall 205
    • Aug 22 - Dec 5, 2022
    • Nussbaum, M

  • Instruction Mode: In Person

STSCI 6940

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: Graphical Models and Causal Discovery

  •  9798 STSCI 6940   LEC 001

    • MW Ives Hall 108
    • Aug 22 - Dec 5, 2022
    • Wang, Y

  • Instruction Mode: In Person
    Prerequisite: STSCI 6730, Mathematical Statistics I

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • Topic: Statistical Analysis of Optimal Transport

  • 18003 STSCI 6940   LEC 002

    • MW Upson Hall 152
    • Aug 22 - Dec 5, 2022
    • Kato, K

  • Instruction Mode: In Person
    Prerequisite: MATH 6710, Probability Theory I

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

  • 13462 STSCI 6970   IND 601

    • TBA
    • Aug 22 - Dec 5, 2022
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 13463 STSCI 6970   IND 602

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 13464 STSCI 6970   IND 603

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 13465 STSCI 6970   IND 604

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 13466 STSCI 6970   IND 605

    • TBA
    • Aug 22 - Dec 5, 2022
    • Yang, X

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16135 STSCI 6970   IND 606

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16267 STSCI 6970   IND 607

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 19206 STSCI 6970   IND 608

    • TBA
    • Aug 22 - Dec 5, 2022
    • Yang, D

  • Instruction Mode: Independent Studies

STSCI 7170

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

View Enrollment Information

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

  • 3 Credits Stdnt Opt

  •  9531 STSCI 7170   LEC 001

  • Instruction Mode: In Person
    Prerequisites: BTRY 4090 or MATH 4720 , BTRY 6020 , 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

  • 13025 STSCI 7999   RSC 701

    • TBA
    • Aug 22 - Dec 5, 2022
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13254 STSCI 7999   RSC 702

    • TBA
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13255 STSCI 7999   RSC 703

    • TBA
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13256 STSCI 7999   RSC 704

    • TBA
    • Aug 22 - Dec 5, 2022
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13257 STSCI 7999   RSC 705

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13258 STSCI 7999   RSC 706

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13259 STSCI 7999   RSC 707

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13260 STSCI 7999   RSC 708

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13026 STSCI 9999   RSC 701

    • TBA
    • Aug 22 - Dec 5, 2022
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13229 STSCI 9999   RSC 702

    • TBA
    • Aug 22 - Dec 5, 2022
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13230 STSCI 9999   RSC 703

    • TBA
    • Aug 22 - Dec 5, 2022
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13231 STSCI 9999   RSC 704

    • TBA
    • Aug 22 - Dec 5, 2022
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13232 STSCI 9999   RSC 705

    • TBA
    • Aug 22 - Dec 5, 2022
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13233 STSCI 9999   RSC 706

    • TBA
    • Aug 22 - Dec 5, 2022
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13234 STSCI 9999   RSC 707

    • TBA
    • Aug 22 - Dec 5, 2022
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13235 STSCI 9999   RSC 708

    • TBA
    • Aug 22 - Dec 5, 2022
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13236 STSCI 9999   RSC 709

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13237 STSCI 9999   RSC 715

    • TBA
    • Aug 22 - Dec 5, 2022
    • Wells, M

  • Instruction Mode: Directed Research