Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the Courses of Study 2023-2024. Courses of Study 2023-2024 is scheduled to publish mid-June.

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

  •  7379 STSCI 2100   LEC 001

    • TR Ives Hall 305
    • Aug 21 - Dec 4, 2023
    • 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.

  •  7380 STSCI 2100   DIS 201

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7381 STSCI 2100   DIS 202

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7382 STSCI 2100   DIS 203

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7383 STSCI 2100   DIS 204

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7384 STSCI 2100   DIS 205

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7887 STSCI 2100   DIS 206

    • F Ives Hall 103
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7385 STSCI 2100   DIS 207

    • F Ives Hall 107
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7386 STSCI 2100   DIS 208

    • F Ives Hall 107
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7387 STSCI 2100   DIS 209

    • F Ives Hall 107
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7388 STSCI 2100   DIS 210

    • F Ives Hall 107
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7389 STSCI 2100   DIS 211

    • F Ives Hall 109
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7541 STSCI 2100   DIS 212

    • F Ives Hall 107
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7595 STSCI 2100   DIS 213

    • F Ives Hall 215
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7624 STSCI 2100   DIS 214

    • R Ives Hall 109
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

  •  7625 STSCI 2100   DIS 215

    • R Ives Hall 109
    • Aug 21 - Dec 4, 2023
    • Packard, K

  • Instruction Mode: In Person

STSCI 2120

The course will cover the basics of R programming for reading and writing data, executing simple operations on data, performing basic analyses, and producing visual graphics. An emphasis will be placed ... view course details

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

  • 2 Credits Stdnt Opt

  • 19542 STSCI 2120   LEC 001

    • TR Upson Hall 216
    • Aug 21 - Oct 6, 2023
    • Guinness, J

  • Instruction Mode: In Person

  • 19797 STSCI 2120   DIS 201

    • F Warren Hall B75
    • Aug 21 - Oct 6, 2023
    • Guinness, J

  • 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.  Choose one lecture and one project. Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  • 12534 STSCI 2130   LEC 001

    • MW Ives Hall 111
    • Aug 21 - Oct 6, 2023
    • Das, S

  • Instruction Mode: In Person

  • 19324 STSCI 2130   PRJ 601

    • TBA
    • Aug 21 - Oct 6, 2023
    • 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 discussion. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  •  7548 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.
    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.

  •  7673 STSCI 2150   DIS 201

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  7549 STSCI 2150   DIS 202

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  7550 STSCI 2150   DIS 203

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  7551 STSCI 2150   DIS 204

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • 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 discussion. Combined with: BTRY 3010BTRY 5010STSCI 5200

  • 4 Credits Stdnt Opt

  •  7110 STSCI 2200   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

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

  •  7111 STSCI 2200   DIS 201

  • Instruction Mode: In Person

  •  7112 STSCI 2200   DIS 202

  • Instruction Mode: In Person

  •  7113 STSCI 2200   DIS 203

  • Instruction Mode: In Person

  •  7114 STSCI 2200   DIS 204

  • Instruction Mode: In Person

  •  7115 STSCI 2200   DIS 205

  • Instruction Mode: In Person

  •  7701 STSCI 2200   DIS 206

  • Instruction Mode: In Person

STSCI 3040

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

View Enrollment Information

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

  • 4 Credits Stdnt Opt

  •  8239 STSCI 3040   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  8240 STSCI 3040   LAB 401

  • Instruction Mode: In Person

  •  8241 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

  •  7465 STSCI 3080   LEC 001

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

  •  7466 STSCI 3080   DIS 201

  • Instruction Mode: In Person

  •  7486 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

  • 10989 STSCI 3090   LEC 001

    • MW Warren Hall 101
    • Aug 21 - Dec 4, 2023
    • Das, S

  • Instruction Mode: In Person

  • 10990 STSCI 3090   DIS 201

    • F Warren Hall B02
    • Aug 21 - Dec 4, 2023
    • 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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: BTRY 3100ILRST 3100STSCI 5100

  • 4 Credits Stdnt Opt

  •  7453 STSCI 3100   LEC 001

    • MW Caldwell Hall 100
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

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

  • 19359 STSCI 3100   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 3110

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

View Enrollment Information

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

  • 4 Credits Graded

  •  7542 STSCI 3110   LEC 001

    • MW Ives Hall 105
    • Aug 21 - Dec 4, 2023
    • 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

  •  7543 STSCI 3110   DIS 201

    • F Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  •  7815 STSCI 3110   DIS 202

    • F Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  •  7888 STSCI 3110   DIS 203

    • F Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

  •  7889 STSCI 3110   DIS 204

    • F Ives Hall 111
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 3900

Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3900INFO 3900

  • 3 Credits Stdnt Opt

  • 19882 STSCI 3900   LEC 001

    • TR Warren Hall 175
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person
    Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person’s income be higher if they finished college? These questions involve counterfactuals: outcomes that would be realized if a treatment were assigned differently. This course will define counterfactuals mathematically, formalize conceptual assumptions that link empirical evidence to causal conclusions, and engage with statistical methods for estimation. Students will enter the course with knowledge of statistical inference: how to assess if a variable is associated with an outcome. Students will emerge from the course with knowledge of causal inference: how to assess whether an intervention to change that input would lead to a change in the outcome.

  • 19883 STSCI 3900   DIS 201

    • W Olin Hall 145
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19884 STSCI 3900   DIS 202

    • W Upson Hall 146
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19885 STSCI 3900   DIS 203

    • W Upson Hall 152
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

  • 19886 STSCI 3900   DIS 204

    • W Warren Hall 137
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

  • Instruction Mode: In Person

  • 19887 STSCI 3900   DIS 205

    • W Upson Hall 152
    • Aug 21 - Dec 4, 2023
    • Lundberg, I

      Wang, Y

  • Instruction Mode: In Person

STSCI 4030

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

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

  • 4 Credits Stdnt Opt

  •  7451 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.

  •  7573 STSCI 4030   LAB 401

  • Instruction Mode: In Person

  •  7630 STSCI 4030   LAB 402

  • Instruction Mode: In Person

  •  7794 STSCI 4030   LAB 403

    • W Warren Hall B51
    • Aug 21 - Dec 4, 2023
    • Yang, D

  • Instruction Mode: In Person

  •  7795 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, ... 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

  •  7937 STSCI 4090   LEC 001

    • TR Malott Hall 251
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: In Person

  •  7938 STSCI 4090   DIS 201

    • F Warren Hall 151
    • Aug 21 - Dec 4, 2023
    • 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

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

  • 3 Credits Graded

  •  8087 STSCI 4110   LEC 001

    • TR Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • 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: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 5630

  • 4 Credits Stdnt Opt

  •  7886 STSCI 4630   LEC 001

    • MW Olin Hall 165
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: In Person

  •  8068 STSCI 4630   DIS 201

  • Instruction Mode: In Person

  •  8174 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.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  7561 STSCI 4740   LEC 001

    • TR Warren Hall 151
    • Aug 21 - Dec 4, 2023
    • Ning, Y

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

  • 19190 STSCI 4740   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ning, Y

  • Instruction Mode: In Person

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

  •  7930 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

  • 13926 STSCI 4970   IND 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 21280 STSCI 4970   IND 602

    • TBA
    • Aug 21 - Dec 4, 2023
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 21281 STSCI 4970   IND 603

    • TBA
    • Aug 21 - Dec 4, 2023
    • El Alaoui, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 21282 STSCI 4970   IND 604

    • TBA
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 21283 STSCI 4970   IND 605

    • TBA
    • Aug 21 - Dec 4, 2023
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 21284 STSCI 4970   IND 606

    • TBA
    • Aug 21 - Dec 4, 2023
    • Yang, D

  • Instruction Mode: Independent Studies

STSCI 4980

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

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Syllabi: none
  •   Regular Academic Session. 

  • 2 Credits Sat/Unsat

  •  7557 STSCI 4980   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wells, M

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

STSCI 4990

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

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13780 STSCI 4990   IND 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13781 STSCI 4990   IND 602

    • TBA
    • Aug 21 - Dec 4, 2023
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13973 STSCI 4990   IND 603

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14029 STSCI 4990   IND 604

    • TBA
    • Aug 21 - Dec 4, 2023
    • Guinness, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14037 STSCI 4990   IND 605

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14124 STSCI 4990   IND 606

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14300 STSCI 4990   IND 607

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14303 STSCI 4990   IND 608

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16528 STSCI 4990   IND 609

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17237 STSCI 4990   IND 610

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17243 STSCI 4990   IND 611

    • TBA
    • Aug 21 - Dec 4, 2023
    • Karns, M

  • Instruction Mode: Independent Studies

STSCI 4995

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  •  8200 STSCI 4995   IND 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

  • 13610 STSCI 4999   RSC 701

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14021 STSCI 4999   RSC 702

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14302 STSCI 4999   RSC 703

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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 project.

  • 4 Credits Stdnt Opt

  •  7254 STSCI 5010   LEC 001

    • MWF Upson Hall 216
    • Aug 21 - Dec 4, 2023
    • Yang, X

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

  • 19509 STSCI 5010   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

  •  7715 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.

  •  7716 STSCI 5030   LAB 401

  • Instruction Mode: In Person

  •  7717 STSCI 5030   LAB 402

  • Instruction Mode: In Person

  •  7796 STSCI 5030   LAB 403

    • W Warren Hall B51
    • Aug 21 - Dec 4, 2023
    • Yang, D

  • Instruction Mode: In Person

  •  7797 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

  •  8243 STSCI 5040   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  8244 STSCI 5040   LAB 401

  • Instruction Mode: In Person

  •  8245 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

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

  • 4 Credits Stdnt Opt

  •  7523 STSCI 5060   LEC 001

  • Instruction Mode: In Person
    Corequisite: STSCI 5010 or Base SAS programming knowledge and skills

  • 19510 STSCI 5060   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

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

  • 4 Credits Stdnt Opt

  •  7633 STSCI 5080   LEC 001

  • 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

  •  7634 STSCI 5080   DIS 201

  • Instruction Mode: In Person

STSCI 5090

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

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

  • 4 Credits Graded

  •  8224 STSCI 5090   LEC 001

    • TR Malott Hall 251
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: In Person

  •  8225 STSCI 5090   DIS 201

    • F Warren Hall 151
    • Aug 21 - Dec 4, 2023
    • 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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: BTRY 3100ILRST 3100STSCI 3100

  • 4 Credits Stdnt Opt

  •  8156 STSCI 5100   LEC 001

    • MW Caldwell Hall 100
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

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

  • 19362 STSCI 5100   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 5120

See STSCI 2120 for description. view course details

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Syllabi: none
  •   Seven Week - First.  Choose one lecture and one discussion. Combined with: STSCI 2120

  • 2 Credits Stdnt Opt

  • 19545 STSCI 5120   LEC 001

    • TR Upson Hall 216
    • Aug 21 - Oct 6, 2023
    • Guinness, J

  • Instruction Mode: In Person

  • 19798 STSCI 5120   DIS 201

    • F Warren Hall B75
    • Aug 21 - Oct 6, 2023
    • Guinness, 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 discussion. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  •  8148 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.

  •  8149 STSCI 5150   DIS 201

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8150 STSCI 5150   DIS 202

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8151 STSCI 5150   DIS 203

    • F Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

  •  8152 STSCI 5150   DIS 204

    • R Upson Hall 225
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

STSCI 5160

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

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

  • 3 Credits Graded

  •  8160 STSCI 5160   LEC 001

    • TR Ives Hall 115
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: In Person

STSCI 5200

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 discussion. Combined with: BTRY 3010BTRY 5010STSCI 2200

  • 4 Credits Stdnt Opt

  •  8226 STSCI 5200   LEC 001

    • TR Warren Hall B25
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: In Person

  •  8227 STSCI 5200   DIS 201

  • Instruction Mode: In Person

  •  8228 STSCI 5200   DIS 202

  • Instruction Mode: In Person

  •  8229 STSCI 5200   DIS 203

  • Instruction Mode: In Person

  •  8230 STSCI 5200   DIS 204

  • Instruction Mode: In Person

  •  8231 STSCI 5200   DIS 205

  • Instruction Mode: In Person

  •  8232 STSCI 5200   DIS 206

  • Instruction Mode: In Person

STSCI 5630

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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 4630

  • 4 Credits Stdnt Opt

  •  8247 STSCI 5630   LEC 001

    • MW Olin Hall 165
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: In Person

  •  8248 STSCI 5630   DIS 202

  • Instruction Mode: In Person

  •  8249 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

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 4740

  • 4 Credits Stdnt Opt

  •  8159 STSCI 5740   LEC 001

    • TR Warren Hall 151
    • Aug 21 - Dec 4, 2023
    • Ning, Y

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

  • 19191 STSCI 5740   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ning, Y

  • Instruction Mode: In Person

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
  •   Seven Week - First. 

  • 0.5 Credits Sat/Unsat

  •  7533 STSCI 5953   LEC 001

    • F Malott Hall 253
    • Aug 21 - Oct 6, 2023
    • 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

  • 12758 STSCI 5954   LEC 001

    • MW Malott Hall 253
    • Oct 11 - Dec 4, 2023
    • Das, S

  • 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

  • 13890 STSCI 5990   RSC 701

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

  • 13965 STSCI 5990   RSC 702

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 13966 STSCI 5990   RSC 703

    • TBA
    • Aug 21 - Dec 4, 2023
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14069 STSCI 5990   RSC 704

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14082 STSCI 5990   RSC 705

    • TBA
    • Aug 21 - Dec 4, 2023
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14089 STSCI 5990   RSC 706

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 14202 STSCI 5990   RSC 707

    • TBA
    • Aug 21 - Dec 4, 2023
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16260 STSCI 5990   RSC 708

    • TBA
    • Aug 21 - Dec 4, 2023
    • Kato, K

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16456 STSCI 5990   RSC 709

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16483 STSCI 5990   RSC 710

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16537 STSCI 5990   RSC 711

    • TBA
    • Aug 21 - Dec 4, 2023
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16931 STSCI 5990   RSC 712

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16932 STSCI 5990   RSC 713

    • TBA
    • Aug 21 - Dec 4, 2023
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16933 STSCI 5990   RSC 714

    • TBA
    • Aug 21 - Dec 4, 2023
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 16934 STSCI 5990   RSC 715

    • TBA
    • Aug 21 - Dec 4, 2023
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  • 17247 STSCI 5990   RSC 716

    • TBA
    • Aug 21 - Dec 4, 2023
    • Entner, J

  • Instruction Mode: Directed Research

STSCI 5995

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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1 Credit Sat/Unsat

  •  8199 STSCI 5995   IND 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  • 11022 STSCI 6520   LEC 001

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

  • 19189 STSCI 6520   PRJ 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Basu, S

  • Instruction Mode: In Person

STSCI 6521

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 21091 STSCI 6521   LEC 001

  • Instruction Mode: In Person

STSCI 6740

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

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

  • 3 Credits Stdnt Opt

  •  8017 STSCI 6740   LEC 001

    • TR Malott Hall 206
    • Aug 21 - Dec 4, 2023
    • Nussbaum, M

  • 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

  • 14042 STSCI 6970   IND 601

    • TBA
    • Aug 21 - Dec 4, 2023
    • Booth, J

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

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14043 STSCI 6970   IND 602

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14044 STSCI 6970   IND 603

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14045 STSCI 6970   IND 604

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 14046 STSCI 6970   IND 605

    • TBA
    • Aug 21 - Dec 4, 2023
    • Yang, X

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16481 STSCI 6970   IND 606

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16596 STSCI 6970   IND 607

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  • 16928 STSCI 6970   IND 608

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

  •  7620 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

  • 13608 STSCI 7999   RSC 701

    • TBA
    • Aug 21 - Dec 4, 2023
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13835 STSCI 7999   RSC 702

    • TBA
    • Aug 21 - Dec 4, 2023
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13836 STSCI 7999   RSC 703

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13837 STSCI 7999   RSC 704

    • TBA
    • Aug 21 - Dec 4, 2023
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13838 STSCI 7999   RSC 705

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13839 STSCI 7999   RSC 706

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13840 STSCI 7999   RSC 707

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  • 13841 STSCI 7999   RSC 708

    • TBA
    • Aug 21 - Dec 4, 2023
    • 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

  • 13609 STSCI 9999   RSC 701

    • TBA
    • Aug 21 - Dec 4, 2023
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13810 STSCI 9999   RSC 702

    • TBA
    • Aug 21 - Dec 4, 2023
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13811 STSCI 9999   RSC 703

    • TBA
    • Aug 21 - Dec 4, 2023
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13812 STSCI 9999   RSC 704

    • TBA
    • Aug 21 - Dec 4, 2023
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13813 STSCI 9999   RSC 705

    • TBA
    • Aug 21 - Dec 4, 2023
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13814 STSCI 9999   RSC 706

    • TBA
    • Aug 21 - Dec 4, 2023
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13815 STSCI 9999   RSC 707

    • TBA
    • Aug 21 - Dec 4, 2023
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13816 STSCI 9999   RSC 708

    • TBA
    • Aug 21 - Dec 4, 2023
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13817 STSCI 9999   RSC 709

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  • 13818 STSCI 9999   RSC 715

    • TBA
    • Aug 21 - Dec 4, 2023
    • Wells, M

  • Instruction Mode: Directed Research