Barnard College · Courses

STAT

22 courses with the subject STAT, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

STAT 1001003/13673 M W 8:40am - 9:55am Anthony 3.00 44/86

517 Hamilton Hall Donoghue Spring 2026: STAT UN1001 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 1101002/13676 M W 8:40am - 9:55am Alex Pijyan 3.00 207/250

301 Pupin Laboratories Spring 2026: STAT UN1101 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 1201004/17912 M W 1:10pm - 2:25pm Banu Baydil 3.00 124/126

402 Chandler STAT UN1202 UNDERGRADUATE SEM/STATISTICS. 1.00 point. statistics would make the talks more accessible. Prepared with undergraduates majoring in quantitative disciplines in mind, the presentations in this colloquium focus on the interface between data analysis, computation, and theory in interdisciplinary research. Meetings are open to all undergraduates, whether registered or not. Presenters are drawn from the faculty of department in Arts and Sciences, Engineering, Public Health and Medicine Fall 2025: STAT UN1202 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: Previous or concurrent enrollment in a course in

STAT 2102001/13900 T Th 4:10pm - 5:25pm Benjamin 3.00 78/120

428 Pupin Laboratories Goodrich STAT UN2104 APPL CATEGORICAL DATA ANALYSIS. 3.00 points. without programming experience in R might ﬁnd STAT UN2102 very helpful. without programming experience in R might ﬁnd STAT UN2102 very helpful. This course covers statistical models amd methods for analyzing and drawing inferences for problems involving categoﬁcal data. The goals are familiarity and understanding of a substantial and integrated body of statistical methods that are used for such problems, experience in anlyzing data using these methods, and profﬁciency in communicating the results of such methods, and the ability to critically evaluate the use of such methods. Topics include binomial proportions, two-way and three-way contingency tables, logistic regression, log-linear models for large multi-way contingency tables, graphical methods. The statistical package R will be used Spring 2026: STAT UN2104 Course Section/Call Times/Location Instructor Points Enrollmen

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT UN2103 is strongly recommended. Students STAT UN2103 is strongly recommended. Students

STAT 2103001/13901 M W 6:10pm - 7:25pm Daniel 3.00 51/86

702 Hamilton Hall Rabinowitz STAT UN2104 APPL CATEGORICAL DATA ANALYSIS. 3.00 points. without programming experience in R might ﬁnd STAT UN2102 very helpful. without programming experience in R might ﬁnd STAT UN2102 very helpful. This course covers statistical models amd methods for analyzing and drawing inferences for problems involving categoﬁcal data. The goals are familiarity and understanding of a substantial and integrated body of statistical methods that are used for such problems, experience in anlyzing data using these methods, and profﬁciency in communicating the results of such methods, and the ability to critically evaluate the use of such methods. Topics include binomial proportions, two-way and three-way contingency tables, logistic regression, log-linear models for large multi-way contingency tables, graphical methods. The statistical package R will be used Spring 2026: STAT UN2104 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT UN2103 is strongly recommended. Students STAT UN2103 is strongly recommended. Students

STAT 2104001/13902 M W 11:40am - 12:55pm Casey 3.00 64/86

517 Hamilton Hall Bradshaw t t

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 3105001/13733 M W 2:40pm - 3:55pm Benjamin 3.00 43/8

702 Hamilton Hall Goodrich STAT UN3106 APPLIED MACHINE LEARNING. 3.00 points. experience in R might ﬁnd STAT UN2102 very helpful. experience in R might ﬁnd STAT UN2102 very helpful. This course is a machine learning class from an application perspective. We will cover topics including data-based prediction, classiﬁcation, speciﬁc classiﬁcation methods (such as logistic regression and random forests), and basics of neural networks. Programming in homeworks will require R Spring 2026: STAT UN3106 Course Section/Call Times/Location Instructor Points Enro

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT UN2103. Students without programming STAT UN2103. Students without programming

STAT 3106001/13903 T Th 2:40pm - 3:55pm Bianca 3.00 90/8

614 Schermerhorn Hall Dumitrascu

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4001002/13909 M W 2:40pm - 3:55pm Casey 3.00 85/125

402 Chandler Bradshaw Applied Statistics Concentration Courses The applied statistics sequence, together with an introductory course, forms the concentration in applied statistics. STAT UN2102 Applied statistical computing may be used to satisfy the computing requirement for the major, and the other concentration courses may be used to satisfy the elective requirements for the major. (Students who sat STAT GU4205 Linear Regression for the major would ﬁnd that they have covered essentially all of the material in STAT UN2103 Applied Linear Regression Analysis. STAT UN2102 Applied Statistical Computing. 3.00 points. recommended). recommended). This course is an introduction to R programming. After learning basic programming component, such as deﬁning variables and vectors, and learning different data structures in R, students will, via project-based assignments, study more advanced topics, such as conditionals, modular programming, and data visualization. Students will also learn the fundamental concepts in computational complexity, and will practice writing reports based on their data analyses Fall 2025: STAT UN2102 Course Section/Call Times/Location Instructor Points Enrollmen

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Corequisite: An introductory course in statistic (STAT UN1101 is

STAT 4203002/13738 T Th 6:10pm - 7:25pm Cristian 3.00 41/50

142 Uris Hall Pasarica

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4204003/13914 T Th 6:10pm - 7:25pm Pratyay Datta 3.00 15/25

402 Chandler Barnard College Catalogue 2025-2026 285 STAT GU4205 LINEAR REGRESSION MODELS. 3.00 points. algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and conﬁdence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data Fall 2025: STAT GU4205 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4204 or the equivalent, and a course in linear

STAT 4205002/20136 M W 6:10pm - 7:25pm Gabriel Young 3.00 16/31

517 Hamilton Hall STAT GU4206 STAT COMP # INTRO DATA SCIENCE. 3.00 points. t Course Overview: This course introduces Python programming, covering data structures, control-flow, objects, and functions, along with libraries like re, requests, numpy, pandas, scikit- learn, scipy, and more. These skills are applied to real-world data science tasks, including AB testing, data manipulation, modeling, optimization, simulations, and data visualization. Students will develop computational thinking abilities, including problem decomposition, pattern recognition, data representation, abstraction, and algorithm design, through practical exercises Fall 2025: STAT GU4206 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4204 and GU4205 or the equivalent.

STAT 4206002/13746 Th 6:10pm - 8:40pm Haiyuan Wang 3.00 4/20

501 Schermerhorn Hall t Spring 2026: STAT GU4206 Course Section/Call Times/Location Instructor Points Enrollment

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4221001/13748 T Th 2:40pm - 3:55pm Rongning Wu 3.00 20/35

417 International Affairs

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4222001/13934 M W 10:10am - 11:25am Marco Avella 3.00 0/25

501 Schermerhorn Hall Medina STAT GU4223 MULTIVARIATE STAT INFERENCE. 3.00 points. distribution, multivariate regression and classiﬁcation; canonical correlation; graphical models and Bayesian networks; principal components and other models for factor analysis; SVD; discriminant analysis; cluster analysis

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4205 or the equivalent. STAT GU4205 or the equivalent. Multivariate normal

STAT 4224001/14253 T Th 7:40pm - 8:55pm Dobrin 3.00 23/40

301 Uris Hall Marchev STAT GU4231 SURVIVAL ANALYSIS. 3.00 points. types of censored data, estimation for various survival models, nonparametric estimation of survival distributions, the proportional hazard and accelerated lifetime models for regression analysis with failure-time data. Extensive use of the computer Spring 2026: STAT GU4231 Course Section/Call Times/Location Instructor Points Enrollme

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4205 or the equivalent. STAT GU4205 or the equivalent. Survival distributions,

STAT 4231001/13941 T Th 2:40pm - 3:55pm Pratyay Datta 3.00 4/25

417 International Affairs

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4234001/13944 T Th 2:40pm - 3:55pm Rongning Wu 3.00 3/25

402 Chandler Barnard College Catalogue 2025-2026 STAT GU4241 STATISTICAL MACHINE LEARNING. 3.00 points. Machine Learning and its core models and algorithms. The aim of the course is to provide students of statistics with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems - not only to analyze large data sets, but to let computers perform tasks that traditional methods of computer science are unable to address. Examples range from speech recognition and text analysis through bioinformatics and medical diagnosis. This course provides a ﬁrst introduction to the statistical methods and mathematical concepts which make such technologies nt possible Spring 2026: STAT GU4241 Course Section/Call Times/Location Instructor

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4206. STAT GU4206. The course will provide an introduction to

STAT 4241002/17235 M W 10:10am - 11:25am Genevera

nt 303 Hamilton Hall Allen STAT GU4261 STATISTICAL METHODS IN FINANCE. 3.00 points. introduction to statistical methods used in quantitative ﬁnance. Financial applications and statistical methodologies are intertwined in all lectures. Topics include regression analysis and applications to the Capital Asset Pricing Model and multifactor pricing models, principal components and multivariate analysis, smoothing techniques and estimation of yield curves statistical methods for ﬁnancial time series, value at risk, term structure models and ﬁxed income research, and estimation and modeling of volatilities. Hands-on experience with nt ﬁnancial data Fall 2025: STAT GU4261 Course Section/Call Times/Location Instructor

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu
Prerequisite: STAT GU4205 or the equivalent. A fast-paced

STAT 4261001/14198 Sa 10:10am - 12:40pm Zhiliang Ying

417 International Affairs

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4263002/13759 Sa 10:10am - 12:40pm Franz

301 Uris Hall Rembart nt 633

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

STAT 4291STAT 4291

Section/Call: 001/14226; Times/Location: F 10:10am - 12:40pm 417 International Affairs Bldg; Instructor: Gabriel Young; Points: 3.00; Enrollment: 4/25 Rajiv Sethi (Economics)

Subject: STAT
Type: course
Edition: 2025-2026
Source: catalog.barnard.edu

Source: Barnard College's catalog, linked per course · table learning_unit · CourseShelf publish 61